- Mathematics and Physics
BSc (Hons), MMath or MPhys — 2025 entry Mathematics and Physics
Study on our BSc, MPhys or MMath Mathematics and Physics degrees and you'll gain a comprehensive understanding of both disciplines, emphasising the fascinating interconnectedness of mathematics and physics. Graduates are well-prepared for careers in a variety of industries.
Why choose
this course?
If you have a passion for understanding the universe and a love of mathematics, our mathematics and physics courses could be perfect for you.
Our BSc, MMath and MPhys give you a deeper understanding of mathematics and explore how it’s applied to solve physics problems. Whether you think of it as applied mathematics or theoretical physics, this joint programme gives you the best of both worlds.
Two unique aspects of these courses are:
- Our award-winning Professional Training placements:
- As part of our BSc, you can take a paid placement in a research laboratory or company, gaining valuable industry-relevant experience. On our MPhys or MMath, you can take a research placement in Year 4 in one of our world-leading research groups.
- Our focus on undergraduate research and innovation:
- You can apply for paid summer research placements with our research groups and those of our South East Physics Network partners. We offer in-house grants that students can apply for to fund a research placement, attend a conference, or develop a new business idea.
Statistics
Top 10 in the UK
Physics is ranked top ten in the UK for overall student satisfaction* in the National Student Survey 2023
16th in the UK
For physics in the Guardian University Guide 2024
96%
of our physics undergraduates and 93% of our mathematics students go on to employment or further study (Graduate Outcomes 2023, HESA).
*Measured by % positivity across all questions for all providers listed in the Guardian University Guide League Tables
Accreditation
Video
Hear from our students
What you will study
- Explore core topics across both subjects, including linear algebra, quantum physics, differential equations and particle physics.
- Choose from a range of fascinating optional modules – such as fluid dynamics, nuclear astrophysics, Galois theory and general relativity – and take an extended project, enabling you to tailor the course to suit your own interests.
- Your final research project will be carried out under the supervision of an academic who’s a leading researcher in the field. The outcomes of the project could even lead to a publication in a peer-reviewed scientific journal.
- Formal lectures are complemented with work in our specialist radiation laboratories, which have recently been refurbished and enlarged at a cost £2.7m. As an undergraduate student you’ll use these labs to undertake experiments related to the Nuclear and Particle Physics module.
- You can apply to study for either a BSc or an MMath or MPhys. The latter two are direct routes to a masters qualification, known as an integrated masters. If you study toward one of the integrated masters, you’ll spend part of your last year doing a research project in either physics or mathematics.
Professional recognition
BSc (Hons) - Institute of Physics (IOP)
Recognised by the Institute of Physics (IOP) for the purpose of eligibility for Associate Membership.
MPhys - Institute of Physics (IOP)
Recognised by the Institute of Physics (IOP) for the purpose of eligibility for Associate Membership.
MMath - Institute of Physics (IOP)
Recognised by the Institute of Physics (IOP) for the purpose of eligibility for Associate Membership.
BSc (Hons) - Institute of Physics (IOP)
Recognised by the Institute of Physics (IOP) for the purpose of eligibility for Associate Membership.
Facilities
We have state-of-the-art laboratories and equipment to enhance student learning opportunities and research. These include:
- Characterisation laboratories
- Detector preparation laboratories
- Ellipsometry equipment
- High-performance computing clusters
- Magnetic resonance imaging facilities
- Microscopes and spectrometers
- Nuclear magnetic resonance facilities
- Radiation and medical physics facilities
- Soft matter laboratories.
We also share facilities with Surrey’s acclaimed Advanced Technology Institute, which conducts world-leading research in energy generation and storage, nanotechnology, healthcare, information technology and sustainable technology.
Our Experimental Nuclear Physics Group has access to facilities at prestigious institutions around the globe. These include:
- CERN/ISOLDE (Geneva)
- GSI/FAIR (Germany)
- RIKEN (Japan)
- TRIUMF (Canada).
The academic year is divided into two semesters of 15 weeks each. Each semester consists of a period of teaching, revision/directed learning and assessment.
The structure of our programmes follow clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes.
- Mathematics and Physics BSc (Hons)
- Mathematics and Physics BSc (Hons) with placement
- Mathematics and Physics BSc (Hons) with foundation year
- Mathematics and Physics BSc (Hons) with foundation year and placement
- Mathematics and Physics MMath
- Mathematics and Physics MMath with placement
- Mathematics and Physics MPhys
- Mathematics and Physics MPhys with placement
Please note: The full module listing for the optional Professional Training placement part of your course is available in the relevant programme specification.
The course content and modules listed for this course are subject to change while we undertake a curriculum design review. Please contact the programme leader if you have any queries about the course.
Modules
Course options
Year 1 - BSc (Hons)
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - BSc (Hons)
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
This module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThe Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - BSc (Hons)
Semester 1
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give an oral presentation on their work.
View full module detailsThis module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsSemester 2
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies, and give an oral presentation on their work.
View full module detailsGraph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThis 30 credit project module is designed to give students the opportunity to explore an area of interest in physics in some depth, either through experimental, theoretical or computational means, or in the form of a literature survey. The module also develops generic professional skills such as teamwork, scientific writing and professional ethics. The module involves writing a dissertation and an oral assessment
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module aims to provide an advanced level understanding of the physics of stars and nuclear astrophysics. In particular, the course will provide an understanding of advanced nucleosynthetic pathways, an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsSemester 1 & 2
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give oral presentations on their work.
View full module detailsYear 1 - BSc (Hons) with placement
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - BSc (Hons) with placement
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
This module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThe Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - BSc (Hons) with placement
Semester 1
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give an oral presentation on their work.
View full module detailsThis module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsSemester 2
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies, and give an oral presentation on their work.
View full module detailsGraph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThis 30 credit project module is designed to give students the opportunity to explore an area of interest in physics in some depth, either through experimental, theoretical or computational means, or in the form of a literature survey. The module also develops generic professional skills such as teamwork, scientific writing and professional ethics. The module involves writing a dissertation and an oral assessment
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module aims to provide an advanced level understanding of the physics of stars and nuclear astrophysics. In particular, the course will provide an understanding of advanced nucleosynthetic pathways, an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsSemester 1 & 2
Optional
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give oral presentations on their work.
View full module detailsYear 3 - BSc (Hons) with placement
Semester 1 & 2
Core
This module supports students’ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written and presentation skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning and is a process that involves self-reflection. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsBSc (Hons) with foundation year
Semester 1
Compulsory
This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner. The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.
View full module detailsThe emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML and CSS within the GitHub environment to develop a webpage, hosting content for the conference project. The conference project provides students with an opportunity to carry out guided research and prepare a presentation on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills.
View full module detailsThis module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.
View full module detailsThe module is designed to develop and extend your critical thinking skills and problem solving skills beyond that which would normally be acquired in an A-level (or comparable level) course. From a theoretical perspective, you will study pure mathematics, probability & statistics together with some applied computational mathematics. The practical computing aspect of the module brings together a variety of techniques in data processing, analysis, modelling and probability and statistics so that you may further advance your problem solving skills and apply some of the theory within a variety of interesting and challenging contexts using Microsoft Excel.
View full module detailsSemester 2
Compulsory
A foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.
View full module detailsThis module builds further on the mathematical and computing skills that you developed previously. As before, there is a strong emphasis on critical thinking, problem solving and becoming more independent as a learner. A number of advanced topic areas will be introduced in both the mathematics and computing components. These two module components are equally weighted at 50% each. There are a total of 11 advanced mathematics lectures with associated tutorials and 11 computer laboratory sessions with associated tutorials.The main topic areas covered by the mathematics component are; matrices & vectors, complex numbers and calculus. Associated geometrical concepts are introduced in all of these topic areas. In the computing component you will learn to use Python and associated packages as a language for implementing a variety of interesting and challenging processes. An emphasis will be placed on the process of abstraction and implementation, with process design considerations at holistic and atomic levels.Your progress on the module is assessed in 12 separate units of assessment (6 for mathematics and 6 for computing.)
View full module detailsThis module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner. The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.
View full module detailsThis module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.
View full module detailsYear 1 - MMath
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - MMath
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
This module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThe Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - MMath
Semester 1
Optional
This module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsSemester 2
Optional
Graph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsYear 4 - MMath
Semester 1
Optional
Regular patterns arise naturally in many physical and biological systems, from hexagonal convection cells on the surface of the sun to stripes on a zebra's back. This module provides a mathematical framework for understanding the formation and evolution of these patterns using ordinary and partial differential equations and group theory. The module builds on group theory from MAT1031 Algebra and MAT2048 Groups & Rings. The module also builds on ordinary differential equations from MAT2007 Ordinary Differential Equation and partial differential equations from MAT2011 Linear PDEs.
View full module detailsMathematical biology is concerned with using mathematical techniques and models to shed light on the fundamental processes that underly biology. By abstracting biological detail into a formal mathematical setting, we can identify what the mechanisms are that drive the observed phenomena, and can make predictions about system behaviour. Looking at a concrete example in cancer biology, it can be shown that tumour growth can be well-described using a simple system of linear partial differential equations. From this system we can then ascertain that tumour growth is initially limited by the availability of nutrients and can predict the result of different treatment methodologies. To work in this field the mathematical biologist must develop a broad library of models, techniques and experience and be willing to engage with biological detail. They must learn to be conversant with e.g. systems of ordinary differential equations, partial differential equations and discrete models, and to analyse these systems using techniques ranging from stability analysis to computational and asymptotic methods. A key aspect of the work is validating the derived models using experimental results.
View full module detailsThis module introduces the basic concepts of functional analysis including Hilbert and Banach spaces, the associated spaces of linear functionals, weak convergences, etc. The introduced concepts are then used to introduce the modern theory of partial differential equations. The module builds on material covered in MAT2004: Real Analysis 2 and MAT2011: Linear PDEs.
View full module detailsAsset prices in financial markets go up and down in accordance with how markets digest the flow of information. To understand the causal relation between information flow and price movements, it is necessary to model market information and use this to infer the price dynamics. In this way, market dynamics can be replicated artificially on a computer. This module explains the powerful process of artificially generating realistic market models. The module begins with elements of probability theory. We will then learn the idea of conditional expectation and the Bayes formula, which gives the optimal inference under uncertainty. The meaning of the Bayes formula will be explained, leading to the understanding of what is meant by “intelligence”. The module then covers the basics of stochastic process (specifically, the Brownian motion) and calculus (specifically, the Ito calculus), sufficient to follow the contents of the module. Then simple models for flows of information in financial markets will be introduced, and by use of the Bayes formula the associated price dynamics will be derived. The module concludes with a brief application to the asset valuation problems in financial markets (such as options or other derivatives).
View full module detailsMathematics underpinning real-world uncertain events has become indispensable in many applications, including in particular financial markets. This module will begin with the introduction to probability theory and stochastic processes, with an emphasis on the Ito calculus for treating functions of Brownian motion. Such functions are commonly used in financial markets to model asset price dynamics, required for the valuation of financial contracts. The module then discusses structures of financial markets, with an emphasis on the equity market. Several of the standard and exotic contingent claims will be introduced, and the need for mathematical models for the valuation and risk management of these products will be explained. The pricing of a standard call option will then be worked out in a single-period binomial model, for which option price will be worked out in two ways: first using the portfolio replication and no arbitrage argument, and second using the risk-neutral expectation argument. The model is then extended into multi-period binomial tree model, leading to the Cox-Ross-Rubinstein option pricing formula. Finally, a continuous-time geometric Brownian motion model, originally introduced by Samuelson, will be considered, and used to deduce the famous Black-Scholes option pricing formula. This can be applied for the purpose of both pricing, as well as risk-management purposes, which will be demonstrated by working out the hedging strategy. The meaning of the pricing formula, and how it can be used in practical investment banking context, will be explained.
View full module detailsSemester 2
Optional
This 15-credit M-Level module introduces important topics and techniques in theoretical physics that have a wide range of applications in many areas physics and engineering and which the students will not have met before. Both the mathematical techniques and their applications are covered at a level appropriate for Masters level students coming to the end of their degree and who should be able to pull many different ideas in theoretical physics together.
View full module detailsThis module aims to provide an advanced level understanding of explosive nuclear astrophysics and the physics of stars. In particular, the course will provide an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination, as well as a theoretical treatment of nuclear reactions and celestial objects.
View full module detailsThis module will introduce the students to the principles and formalism of General Relativity and its applications to Black Holes and astrophysical phenomena.
View full module detailsGroup theory is a branch of mathematics developed to understand symmetries, which are powerful tools for understanding the properties of complex mathematical problems and physical systems. Group representations map abstract group elements to linear transformations on vector spaces. Representation theory allows us to better understand the properties of symmetry groups, and leads to powerful and compact solutions of otherwise difficult and intractable problems. This module builds on groups theory in MAT1031 Algebra and MAT2048 Groups & Rings.
View full module detailsQuantum Mechanics topics are essential building blocks for our understanding of many physical systems. The module assumes basic knowledge in quantum mechanics from modules in earlier years, but will provide a review at the beginning. Topics include a review of quantum mechanics, operator methods and applications to the harmonic oscillator, spin & angular momentum, symmetries in quantum mechanics. The second half of the module then moves beyond isolated quantum systems by addressing the topic of Quantum Entanglement and Quantum Coherence. Here the important concepts of entanglement and decoherence will be studied by developing an understanding of open quantum systems and the density matrix formalism.
View full module detailsThis module comprises two independent halves, on making qubit, and quantum communications. Quantum technologies, including quantum computing, rely on the quantum mechanical principles of superposition and entanglement. Furthermore, this superposition and entanglement needs to be controlled in useful ways. In this module you will learn about what physical systems allow quantum technology production, and their limitations. Quantum computers are only one type of device that uses these principles, and several other technologies are being created that are also enhanced by use of superpositions. Others include atomic clocks and Magnetic Resonance Imaging, MRI. We will also learn about the errors that inevitably build up in quantum computers when quantum superpositions are disturbed, and the strategies that might be built in to correct them. Quantum communications. This course provides a comprehensive introduction to the principles, protocols, and applications of quantum communications. Students will explore the fundamental concepts of quantum information transmission, quantum cryptography, and quantum communication protocols. They will also examine the challenges, advancements, and real-world applications of quantum communications including both theory and practical aspects.
View full module detailsThe module is an introduction to nonlinear partial differential equations (PDEs) with a focus on hyperbolic and dispersive PDEs. The module takes key classes of equations as the organising centre. Each class of PDEs is considered and the properties, analytical techniques, and analysis of each is taken in turn.
View full module detailsThis module introduces programming in Python for data science, with a focus on data pre-processing, data mining and analysis, machine learning and deep learning. Besides the practical hands-on experience with writing code, this course also covers the theoretical background on different data analysis techniques and machine learning approaches. The goal is to develop an understanding of how information can be extracted from data and how this information can be further used to make predictions, but importantly how this is done practically in terms of writing clear and transparent source code. Using real-world data sets and illustrative examples, this course will help to develop a theoretical understanding of data science as well as practical experience by developing useful software tools. Many of the techniques acquired through this module are likely to be of potential use in the dissertation project.
View full module detailsSemester 1 & 2
Compulsory
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give oral presentations on their work.
View full module detailsYear 1 - MPhys
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - MPhys
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
The Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - MPhys
Semester 1
Optional
This module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsSemester 2
Optional
Graph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsYear 4 - MPhys
Semester 1
Optional
Regular patterns arise naturally in many physical and biological systems, from hexagonal convection cells on the surface of the sun to stripes on a zebra's back. This module provides a mathematical framework for understanding the formation and evolution of these patterns using ordinary and partial differential equations and group theory. The module builds on group theory from MAT1031 Algebra and MAT2048 Groups & Rings. The module also builds on ordinary differential equations from MAT2007 Ordinary Differential Equation and partial differential equations from MAT2011 Linear PDEs.
View full module detailsMathematical biology is concerned with using mathematical techniques and models to shed light on the fundamental processes that underly biology. By abstracting biological detail into a formal mathematical setting, we can identify what the mechanisms are that drive the observed phenomena, and can make predictions about system behaviour. Looking at a concrete example in cancer biology, it can be shown that tumour growth can be well-described using a simple system of linear partial differential equations. From this system we can then ascertain that tumour growth is initially limited by the availability of nutrients and can predict the result of different treatment methodologies. To work in this field the mathematical biologist must develop a broad library of models, techniques and experience and be willing to engage with biological detail. They must learn to be conversant with e.g. systems of ordinary differential equations, partial differential equations and discrete models, and to analyse these systems using techniques ranging from stability analysis to computational and asymptotic methods. A key aspect of the work is validating the derived models using experimental results.
View full module detailsThis module introduces the basic concepts of functional analysis including Hilbert and Banach spaces, the associated spaces of linear functionals, weak convergences, etc. The introduced concepts are then used to introduce the modern theory of partial differential equations. The module builds on material covered in MAT2004: Real Analysis 2 and MAT2011: Linear PDEs.
View full module detailsAsset prices in financial markets go up and down in accordance with how markets digest the flow of information. To understand the causal relation between information flow and price movements, it is necessary to model market information and use this to infer the price dynamics. In this way, market dynamics can be replicated artificially on a computer. This module explains the powerful process of artificially generating realistic market models. The module begins with elements of probability theory. We will then learn the idea of conditional expectation and the Bayes formula, which gives the optimal inference under uncertainty. The meaning of the Bayes formula will be explained, leading to the understanding of what is meant by “intelligence”. The module then covers the basics of stochastic process (specifically, the Brownian motion) and calculus (specifically, the Ito calculus), sufficient to follow the contents of the module. Then simple models for flows of information in financial markets will be introduced, and by use of the Bayes formula the associated price dynamics will be derived. The module concludes with a brief application to the asset valuation problems in financial markets (such as options or other derivatives).
View full module detailsMathematics underpinning real-world uncertain events has become indispensable in many applications, including in particular financial markets. This module will begin with the introduction to probability theory and stochastic processes, with an emphasis on the Ito calculus for treating functions of Brownian motion. Such functions are commonly used in financial markets to model asset price dynamics, required for the valuation of financial contracts. The module then discusses structures of financial markets, with an emphasis on the equity market. Several of the standard and exotic contingent claims will be introduced, and the need for mathematical models for the valuation and risk management of these products will be explained. The pricing of a standard call option will then be worked out in a single-period binomial model, for which option price will be worked out in two ways: first using the portfolio replication and no arbitrage argument, and second using the risk-neutral expectation argument. The model is then extended into multi-period binomial tree model, leading to the Cox-Ross-Rubinstein option pricing formula. Finally, a continuous-time geometric Brownian motion model, originally introduced by Samuelson, will be considered, and used to deduce the famous Black-Scholes option pricing formula. This can be applied for the purpose of both pricing, as well as risk-management purposes, which will be demonstrated by working out the hedging strategy. The meaning of the pricing formula, and how it can be used in practical investment banking context, will be explained.
View full module detailsSemester 2
Optional
This 15-credit M-Level module introduces important topics and techniques in theoretical physics that have a wide range of applications in many areas physics and engineering and which the students will not have met before. Both the mathematical techniques and their applications are covered at a level appropriate for Masters level students coming to the end of their degree and who should be able to pull many different ideas in theoretical physics together.
View full module detailsThis module aims to provide an advanced level understanding of explosive nuclear astrophysics and the physics of stars. In particular, the course will provide an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination, as well as a theoretical treatment of nuclear reactions and celestial objects.
View full module detailsThis module will introduce the students to the principles and formalism of General Relativity and its applications to Black Holes and astrophysical phenomena.
View full module detailsGroup theory is a branch of mathematics developed to understand symmetries, which are powerful tools for understanding the properties of complex mathematical problems and physical systems. Group representations map abstract group elements to linear transformations on vector spaces. Representation theory allows us to better understand the properties of symmetry groups, and leads to powerful and compact solutions of otherwise difficult and intractable problems. This module builds on groups theory in MAT1031 Algebra and MAT2048 Groups & Rings.
View full module detailsQuantum Mechanics topics are essential building blocks for our understanding of many physical systems. The module assumes basic knowledge in quantum mechanics from modules in earlier years, but will provide a review at the beginning. Topics include a review of quantum mechanics, operator methods and applications to the harmonic oscillator, spin & angular momentum, symmetries in quantum mechanics. The second half of the module then moves beyond isolated quantum systems by addressing the topic of Quantum Entanglement and Quantum Coherence. Here the important concepts of entanglement and decoherence will be studied by developing an understanding of open quantum systems and the density matrix formalism.
View full module detailsThis module comprises two independent halves, on making qubit, and quantum communications. Quantum technologies, including quantum computing, rely on the quantum mechanical principles of superposition and entanglement. Furthermore, this superposition and entanglement needs to be controlled in useful ways. In this module you will learn about what physical systems allow quantum technology production, and their limitations. Quantum computers are only one type of device that uses these principles, and several other technologies are being created that are also enhanced by use of superpositions. Others include atomic clocks and Magnetic Resonance Imaging, MRI. We will also learn about the errors that inevitably build up in quantum computers when quantum superpositions are disturbed, and the strategies that might be built in to correct them. Quantum communications. This course provides a comprehensive introduction to the principles, protocols, and applications of quantum communications. Students will explore the fundamental concepts of quantum information transmission, quantum cryptography, and quantum communication protocols. They will also examine the challenges, advancements, and real-world applications of quantum communications including both theory and practical aspects.
View full module detailsThe module is an introduction to nonlinear partial differential equations (PDEs) with a focus on hyperbolic and dispersive PDEs. The module takes key classes of equations as the organising centre. Each class of PDEs is considered and the properties, analytical techniques, and analysis of each is taken in turn.
View full module detailsThis module introduces programming in Python for data science, with a focus on data pre-processing, data mining and analysis, machine learning and deep learning. Besides the practical hands-on experience with writing code, this course also covers the theoretical background on different data analysis techniques and machine learning approaches. The goal is to develop an understanding of how information can be extracted from data and how this information can be further used to make predictions, but importantly how this is done practically in terms of writing clear and transparent source code. Using real-world data sets and illustrative examples, this course will help to develop a theoretical understanding of data science as well as practical experience by developing useful software tools. Many of the techniques acquired through this module are likely to be of potential use in the dissertation project.
View full module detailsSemester 1 & 2
Compulsory
Under the guidance of an academic supervisor, the student will investigate a Physics topic of interest to him in depth. He will compose a written report on his studies, and give oral presentations on the work.
View full module detailsBSc (Hons) with foundation year and placement
Semester 1
Compulsory
This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.
View full module detailsThe module is designed to develop and extend your critical thinking skills and problem solving skills beyond that which would normally be acquired in an A-level (or comparable level) course. From a theoretical perspective, you will study pure mathematics, probability & statistics together with some applied computational mathematics. The practical computing aspect of the module brings together a variety of techniques in data processing, analysis, modelling and probability and statistics so that you may further advance your problem solving skills and apply some of the theory within a variety of interesting and challenging contexts using Microsoft Excel.
View full module detailsThis mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner. The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.
View full module detailsThe emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML and CSS within the GitHub environment to develop a webpage, hosting content for the conference project. The conference project provides students with an opportunity to carry out guided research and prepare a presentation on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills.
View full module detailsSemester 2
Compulsory
This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner. The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.
View full module detailsThis module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.
View full module detailsA foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.
View full module detailsThis module builds further on the mathematical and computing skills that you developed previously. As before, there is a strong emphasis on critical thinking, problem solving and becoming more independent as a learner. A number of advanced topic areas will be introduced in both the mathematics and computing components. These two module components are equally weighted at 50% each. There are a total of 11 advanced mathematics lectures with associated tutorials and 11 computer laboratory sessions with associated tutorials.The main topic areas covered by the mathematics component are; matrices & vectors, complex numbers and calculus. Associated geometrical concepts are introduced in all of these topic areas. In the computing component you will learn to use Python and associated packages as a language for implementing a variety of interesting and challenging processes. An emphasis will be placed on the process of abstraction and implementation, with process design considerations at holistic and atomic levels.Your progress on the module is assessed in 12 separate units of assessment (6 for mathematics and 6 for computing.)
View full module detailsYear 1 - MMath with placement
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - MMath with placement
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
The Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - MMath with placement
Semester 1
Optional
This module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsSemester 2
Optional
Graph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsYear 3 - MMath with placement
Semester 1 & 2
Core
This module supports students’ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written and presentation skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning and is a process that involves self-reflection. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsYear 4 - MMath with placement
Semester 1
Optional
Regular patterns arise naturally in many physical and biological systems, from hexagonal convection cells on the surface of the sun to stripes on a zebra's back. This module provides a mathematical framework for understanding the formation and evolution of these patterns using ordinary and partial differential equations and group theory. The module builds on group theory from MAT1031 Algebra and MAT2048 Groups & Rings. The module also builds on ordinary differential equations from MAT2007 Ordinary Differential Equation and partial differential equations from MAT2011 Linear PDEs.
View full module detailsMathematical biology is concerned with using mathematical techniques and models to shed light on the fundamental processes that underly biology. By abstracting biological detail into a formal mathematical setting, we can identify what the mechanisms are that drive the observed phenomena, and can make predictions about system behaviour. Looking at a concrete example in cancer biology, it can be shown that tumour growth can be well-described using a simple system of linear partial differential equations. From this system we can then ascertain that tumour growth is initially limited by the availability of nutrients and can predict the result of different treatment methodologies. To work in this field the mathematical biologist must develop a broad library of models, techniques and experience and be willing to engage with biological detail. They must learn to be conversant with e.g. systems of ordinary differential equations, partial differential equations and discrete models, and to analyse these systems using techniques ranging from stability analysis to computational and asymptotic methods. A key aspect of the work is validating the derived models using experimental results.
View full module detailsThis module introduces the basic concepts of functional analysis including Hilbert and Banach spaces, the associated spaces of linear functionals, weak convergences, etc. The introduced concepts are then used to introduce the modern theory of partial differential equations. The module builds on material covered in MAT2004: Real Analysis 2 and MAT2011: Linear PDEs.
View full module detailsAsset prices in financial markets go up and down in accordance with how markets digest the flow of information. To understand the causal relation between information flow and price movements, it is necessary to model market information and use this to infer the price dynamics. In this way, market dynamics can be replicated artificially on a computer. This module explains the powerful process of artificially generating realistic market models. The module begins with elements of probability theory. We will then learn the idea of conditional expectation and the Bayes formula, which gives the optimal inference under uncertainty. The meaning of the Bayes formula will be explained, leading to the understanding of what is meant by “intelligence”. The module then covers the basics of stochastic process (specifically, the Brownian motion) and calculus (specifically, the Ito calculus), sufficient to follow the contents of the module. Then simple models for flows of information in financial markets will be introduced, and by use of the Bayes formula the associated price dynamics will be derived. The module concludes with a brief application to the asset valuation problems in financial markets (such as options or other derivatives).
View full module detailsMathematics underpinning real-world uncertain events has become indispensable in many applications, including in particular financial markets. This module will begin with the introduction to probability theory and stochastic processes, with an emphasis on the Ito calculus for treating functions of Brownian motion. Such functions are commonly used in financial markets to model asset price dynamics, required for the valuation of financial contracts. The module then discusses structures of financial markets, with an emphasis on the equity market. Several of the standard and exotic contingent claims will be introduced, and the need for mathematical models for the valuation and risk management of these products will be explained. The pricing of a standard call option will then be worked out in a single-period binomial model, for which option price will be worked out in two ways: first using the portfolio replication and no arbitrage argument, and second using the risk-neutral expectation argument. The model is then extended into multi-period binomial tree model, leading to the Cox-Ross-Rubinstein option pricing formula. Finally, a continuous-time geometric Brownian motion model, originally introduced by Samuelson, will be considered, and used to deduce the famous Black-Scholes option pricing formula. This can be applied for the purpose of both pricing, as well as risk-management purposes, which will be demonstrated by working out the hedging strategy. The meaning of the pricing formula, and how it can be used in practical investment banking context, will be explained.
View full module detailsSemester 2
Optional
This 15-credit M-Level module introduces important topics and techniques in theoretical physics that have a wide range of applications in many areas physics and engineering and which the students will not have met before. Both the mathematical techniques and their applications are covered at a level appropriate for Masters level students coming to the end of their degree and who should be able to pull many different ideas in theoretical physics together.
View full module detailsThis module aims to provide an advanced level understanding of explosive nuclear astrophysics and the physics of stars. In particular, the course will provide an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination, as well as a theoretical treatment of nuclear reactions and celestial objects.
View full module detailsThis module will introduce the students to the principles and formalism of General Relativity and its applications to Black Holes and astrophysical phenomena.
View full module detailsGroup theory is a branch of mathematics developed to understand symmetries, which are powerful tools for understanding the properties of complex mathematical problems and physical systems. Group representations map abstract group elements to linear transformations on vector spaces. Representation theory allows us to better understand the properties of symmetry groups, and leads to powerful and compact solutions of otherwise difficult and intractable problems. This module builds on groups theory in MAT1031 Algebra and MAT2048 Groups & Rings.
View full module detailsQuantum Mechanics topics are essential building blocks for our understanding of many physical systems. The module assumes basic knowledge in quantum mechanics from modules in earlier years, but will provide a review at the beginning. Topics include a review of quantum mechanics, operator methods and applications to the harmonic oscillator, spin & angular momentum, symmetries in quantum mechanics. The second half of the module then moves beyond isolated quantum systems by addressing the topic of Quantum Entanglement and Quantum Coherence. Here the important concepts of entanglement and decoherence will be studied by developing an understanding of open quantum systems and the density matrix formalism.
View full module detailsThis module comprises two independent halves, on making qubit, and quantum communications. Quantum technologies, including quantum computing, rely on the quantum mechanical principles of superposition and entanglement. Furthermore, this superposition and entanglement needs to be controlled in useful ways. In this module you will learn about what physical systems allow quantum technology production, and their limitations. Quantum computers are only one type of device that uses these principles, and several other technologies are being created that are also enhanced by use of superpositions. Others include atomic clocks and Magnetic Resonance Imaging, MRI. We will also learn about the errors that inevitably build up in quantum computers when quantum superpositions are disturbed, and the strategies that might be built in to correct them. Quantum communications. This course provides a comprehensive introduction to the principles, protocols, and applications of quantum communications. Students will explore the fundamental concepts of quantum information transmission, quantum cryptography, and quantum communication protocols. They will also examine the challenges, advancements, and real-world applications of quantum communications including both theory and practical aspects.
View full module detailsThe module is an introduction to nonlinear partial differential equations (PDEs) with a focus on hyperbolic and dispersive PDEs. The module takes key classes of equations as the organising centre. Each class of PDEs is considered and the properties, analytical techniques, and analysis of each is taken in turn.
View full module detailsThis module introduces programming in Python for data science, with a focus on data pre-processing, data mining and analysis, machine learning and deep learning. Besides the practical hands-on experience with writing code, this course also covers the theoretical background on different data analysis techniques and machine learning approaches. The goal is to develop an understanding of how information can be extracted from data and how this information can be further used to make predictions, but importantly how this is done practically in terms of writing clear and transparent source code. Using real-world data sets and illustrative examples, this course will help to develop a theoretical understanding of data science as well as practical experience by developing useful software tools. Many of the techniques acquired through this module are likely to be of potential use in the dissertation project.
View full module detailsSemester 1 & 2
Compulsory
Under the guidance of an academic supervisor, the student will investigate a mathematical topic of interest to them in some depth. They will compose a written report on their studies and give oral presentations on their work.
View full module detailsYear 1 - MPhys with placement
Semester 1
Compulsory
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such equations have important applications for interpreting and understanding the world around us.
View full module detailsThis module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
View full module detailsThis module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws.
View full module detailsThis module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.
View full module detailsSemester 2
Compulsory
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This module builds on MAT1031: Algebra and provides a foundation for a variety of subsequent modules, including MAT2009 Operations Research and Optimisation, MAT2047 Curves and Surfaces, MAT2048 Groups & Rings, MAT3004 Introduction to Function Spaces and MAT3039 Quantum Mechanics.
View full module detailsThis module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.
View full module detailsThis module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.
View full module detailsThis module introduces basic mathematical programming in Python and professional skills. The module covers digital skills such as basic data handling, processing and least squares fitting to analyze real-world problems. The professional skills cover employability, teamworking, writing a technical report, and presentation skills. The goal of the module is to equip students with the skills to tackle real-world problems, communicate their results and prepare them for employment after their degree.
View full module detailsYear 2 - MPhys with placement
Semester 1
Compulsory
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
View full module detailsThe module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.
View full module detailsThe Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials.
View full module detailsThis module is an introduction to the theory of complex functions of a complex variable, also known as complex analysis. We will study the continuity and differentiability of complex functions, integration along paths on the complex plane, Taylor and Laurent series expansions of complex functions with isolated singularities, and residue calculus and its applications. Complex analysis and residue calculus are widely used in many branches of Mathematics and Physics. This module builds on material on two-variable calculus introduced in MAT1043 Multivariable Calculus.
View full module detailsSemester 2
Compulsory
When an analytical approach is not known or practical for solving a mathematical problem, which is the case for most real-world problems, a numerical approach can be useful in finding approximate solutions that are as close as possible to the exact one. This module introduces a selection of numerical methods for the solution of systems of linear and nonlinear equations, for finding a function that interpolates or approximates a set of data points, for finding numerical values of derivatives and integrals, and for solving initial value problems. For each numerical method, we will consider the error that results from using approximations and introduce some theories of quantifying the error, which then indicates the accuracy of a numerical solution. We also analyse the complexity of numerical methods in order to estimate the computational resources required for achieving a given accuracy. Students will learn and practice implementing some of the methods in Python.
View full module detailsThe module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.
View full module detailsThe general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.
View full module detailsOptional
The Linear PDEs Module introduces students to linear partial differential equations, mainly in one and two space dimensions. The classical linear PDEs such as the heat, wave and Laplace equation will be analyzed in detail. Questions of existence and uniqueness of solutions will be addressed and their physical and mathematical meaning emphasized.
View full module detailsThis module presents a complete introduction to modern astronomy and astrophysics. We start by introducing astronomy as a unique science; measurement in astronomy (position on the sky, velocity and distance); and multi-messenger probes. We then discuss acceleration due to gravity (the dominant force in the Universe) and we show that timescales are typically so long that we must use models to calculate what happened in the past and what will happen in the future. Armed with an understanding of how to make measurements in astronomy and how to model gravity, we then move from the smallest scales to the largest, studying first the interstellar medium from which stars form; stellar structure and evolution; and stellar remnants (white dwarfs, neutron stars and black holes). We compare and contrast the latest models for how planets form and we discuss the prospects for detecting life and intelligent life beyond Earth. Finally, we discuss the formation and evolution of galaxies in the Universe and the Universe as a whole. We show that the Universe appears to be mostly dark: dark matter (~22%) and dark energy (~74%). Understanding what these mysterious components are is one of the key challenges for physics in the next decade. The module includes either a computer or telescope project. Students enrolled in physics with astronomy with undertake the telescope project where (weather willing) students will gain hands on experience of taking real observational data. They will develop software tools to analyse and interpret these data and write up a final report. Students not enrolled in physics with astronomy will undertake a computational project of similar scope and length, also culminating in a final report.
View full module detailsThis module introduces students to inviscid fluid flows including surface waves. By the end of the module, students should be able to recognise dominant features of fluid motion, and to derive some simple solutions of the equations of motion. Students should also have an appreciation of the force balances that produce various classes of flows.
View full module detailsThis module provides an introduction to abstract algebra, focusing on the theory of algebraic structures called groups and rings. The module builds on preliminary material on groups introduced in MAT1031 Algebra. This module forms the starting point for subsequent algebraic modules, such as MAT3032 Advanced Algebra, MATM035 Representation Theory and MATM011 Lie Algebras.
View full module detailsYear 3 - MPhys with placement
Semester 1
Optional
This module extends the abstract algebra introduced in MAT2048 Groups & Rings. A deeper insight into groups and rings is developed, and further algebraic structures are introduced. This module complements the module material in MATM035 Representation Theory and MATM011 Lie Algebras
View full module detailsThis module provides an introduction to the applications of ordinary, delay and partial differential equations to ecology and epidemiology.
View full module detailsIn this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics, data analysis, machine learning. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
View full module detailsThis module introduces fundamental concepts in analytical dynamics and illustrates their application to real-world problems. The module covers the calculus of variations, Lagrangian and Hamiltonian formulations of dynamics, Poisson brackets, canonical transformations and symplectic manifolds. The module also leads to a deeper understanding of the role of symmetries and conservation laws in dynamical systems. This module builds on material from MAT1036 Classical Dynamics and lays the foundations for MAT3039 Quantum Mechanics.
View full module detailsThis module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.
View full module detailsThe first half of this module covers various applications of statistical physics to model share prices and financial markets. This mathematics is then applied to calculating prices for some examples of financial derivatives. The second half of the module then focusses on optimization problems with examples including logistics, aerospace, traffic control and finance (which includes pricing, risk managements and portfolio optimizations in financial markets). There is a particular focus on the role of quantum optimization and the use of quantum computer algorithms in finance.
View full module detailsQuantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.
View full module detailsThis module introduces students to topological spaces and manifolds. Topology is the study of properties of spaces which are invariant under continuous transformations, and forms one of the cornerstones of pure mathematics. Study of topology leads to a deeper understanding of the concepts of continuity and connectedness. After introducing these key ideas, with appropriate examples, smooth manifolds are introduced. Differential forms and cohomology are developed, which enables the classification of manifolds using topologically invariant numbers. MAT2047 Curves and Surfaces is a recommended prior module, but is not pre-requisite. Students will also find the material in MAT3044 Riemannian Geometry complementary.
View full module detailsThe module will introduce students to research level equipment and techniques that are used within the research groups of Physics via extended projects. The four-week projects will cover astrophysics, experimental and theoretical nuclear physics, experimental and theoretical soft matter physics, and quantum technologies. Students will gain experience using state-of-the-art equipment and software, analysing and working with large data sets and in problem solving. The module builds upon experience gained during first- and second-year laboratory and computing classes with project-based work that is typically more open ended and less structured. Students are expected to take more responsibility for the planning and direction of work than in previous years. The goal is to help prepare students for independent research within a team and for future project work (e.g. Final Year Projects and MPhys research years). Numbers will be limited on certain projects.
View full module detailsSemester 2
Optional
Graph theory is an aesthetically appealing branch of pure mathematics with strong links to other areas of mathematics (combinatorics, algebra, topology, probability, optimisation and numerics) and well-developed applications to a wide range of other disciplines (including operations research, data science, chemistry, systems biology, statistical mechanics and quantum field theory). This module provides an introduction to graph theory. There is an emphasis on theorems and proofs.
View full module detailsThe course will follow the historical development of the main medical imaging techniques. The first part will consider, from a theoretical perspective, the fundamentals of X-ray image formation both in the planar modality and in the Computed Tomography modality. Elements of image processing and image reconstruction will be addressed. The second will look at the physical principles and methods of Nuclear Medicine. The third will look at the principles underlying the application of diagnostic ultrasound in medicine. The fourth will consider Magnetic Resonance Imaging (MRI), one of the most important techniques of medical imaging used in hospitals today. In parallel to the related theoretical classes, laboratory experiments will be carried out on X-ray imaging and ultrasound.
View full module detailsThis module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
View full module detailsData science is the study of data to extract meaningful and actionable insights at all levels of society such as dynamical systems and social media networks. This module introduces the role of data in society and provides students with the underpinning mathematics that drives data methodology and algorithms. This module then covers wide-ranging topics with a focus on the Surrey brand of data, as research into data is part of the department research agenda.
View full module detailsThe module will introduce students to key concepts in education as well as the tools and strategies for effective public engagement in their discipline areas and for different audiences. Students will gain practical experience by planning, implementing, and evaluating an education or public engagement-based activity. Opportunities will also exist for classroom (e.g. school; early-year University) teaching experience and / or involvement in external exhibitions. The projects will be related to current Faculty, department and / or outreach needs thus leading to informed student partnership activities.
View full module detailsThis module introduces fundamental concepts in Quantum Mechanics and its applications to real-world quantum problems. The module covers the mathematics of Hilbert spaces and Dirac notation, the postulates of Quantum Mechanics, the uncertainty principle, the Schroedinger equation with one-dimensional applications to a particle in a potential well and the quantum harmonic oscillator, and angular momentum and spin. This module utilises material from MAT1034 Linear Algebra and MAT2007 Ordinary Differential Equations. The module also builds on material from MAT1036 Classical Dynamics and MAT3008 Lagrangian & Hamiltonian Dynamics, although these modules are not pre-requisite.
View full module detailsThis module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.
View full module detailsFundamental topics in the design and analysis of experiments are introduced in this module. For a variety of statistical models, the structure of the model and applications are covered. Particular attention is given to practical issues. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. There are no pre-requisites for the module but students who have not taken MAT2002 General Linear Models will need to do some initial reading.
View full module detailsThis module introduces the ideas of viscous fluid flows which build on the ideas some students would have seen in MAT2050: Inviscid Fluid Dynamics. By the end of the module, students should be familiar with the Navier-Stokes equations, and should be able to solve these equations in various simplified situations as well as in a variety of geometries.
View full module detailsYear 3 - MPhys with placement
Semester 1 & 2
Core
This module supports students’ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written and presentation skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning and is a process that involves self-reflection. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsThis module supports students¿ development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment. The PTY module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement, and this is reflected in the assessment model as a progressive process. However, the graded assessment takes place primarily towards the end of the placement. Additionally, the module aims to enable students to evidence and evaluate their placement experiences and transfer that learning to other situations through written skills.
View full module detailsYear 4 - MPhys with placement
Semester 1
Optional
Regular patterns arise naturally in many physical and biological systems, from hexagonal convection cells on the surface of the sun to stripes on a zebra's back. This module provides a mathematical framework for understanding the formation and evolution of these patterns using ordinary and partial differential equations and group theory. The module builds on group theory from MAT1031 Algebra and MAT2048 Groups & Rings. The module also builds on ordinary differential equations from MAT2007 Ordinary Differential Equation and partial differential equations from MAT2011 Linear PDEs.
View full module detailsMathematical biology is concerned with using mathematical techniques and models to shed light on the fundamental processes that underly biology. By abstracting biological detail into a formal mathematical setting, we can identify what the mechanisms are that drive the observed phenomena, and can make predictions about system behaviour. Looking at a concrete example in cancer biology, it can be shown that tumour growth can be well-described using a simple system of linear partial differential equations. From this system we can then ascertain that tumour growth is initially limited by the availability of nutrients and can predict the result of different treatment methodologies. To work in this field the mathematical biologist must develop a broad library of models, techniques and experience and be willing to engage with biological detail. They must learn to be conversant with e.g. systems of ordinary differential equations, partial differential equations and discrete models, and to analyse these systems using techniques ranging from stability analysis to computational and asymptotic methods. A key aspect of the work is validating the derived models using experimental results.
View full module detailsThis module introduces the basic concepts of functional analysis including Hilbert and Banach spaces, the associated spaces of linear functionals, weak convergences, etc. The introduced concepts are then used to introduce the modern theory of partial differential equations. The module builds on material covered in MAT2004: Real Analysis 2 and MAT2011: Linear PDEs.
View full module detailsAsset prices in financial markets go up and down in accordance with how markets digest the flow of information. To understand the causal relation between information flow and price movements, it is necessary to model market information and use this to infer the price dynamics. In this way, market dynamics can be replicated artificially on a computer. This module explains the powerful process of artificially generating realistic market models. The module begins with elements of probability theory. We will then learn the idea of conditional expectation and the Bayes formula, which gives the optimal inference under uncertainty. The meaning of the Bayes formula will be explained, leading to the understanding of what is meant by “intelligence”. The module then covers the basics of stochastic process (specifically, the Brownian motion) and calculus (specifically, the Ito calculus), sufficient to follow the contents of the module. Then simple models for flows of information in financial markets will be introduced, and by use of the Bayes formula the associated price dynamics will be derived. The module concludes with a brief application to the asset valuation problems in financial markets (such as options or other derivatives).
View full module detailsMathematics underpinning real-world uncertain events has become indispensable in many applications, including in particular financial markets. This module will begin with the introduction to probability theory and stochastic processes, with an emphasis on the Ito calculus for treating functions of Brownian motion. Such functions are commonly used in financial markets to model asset price dynamics, required for the valuation of financial contracts. The module then discusses structures of financial markets, with an emphasis on the equity market. Several of the standard and exotic contingent claims will be introduced, and the need for mathematical models for the valuation and risk management of these products will be explained. The pricing of a standard call option will then be worked out in a single-period binomial model, for which option price will be worked out in two ways: first using the portfolio replication and no arbitrage argument, and second using the risk-neutral expectation argument. The model is then extended into multi-period binomial tree model, leading to the Cox-Ross-Rubinstein option pricing formula. Finally, a continuous-time geometric Brownian motion model, originally introduced by Samuelson, will be considered, and used to deduce the famous Black-Scholes option pricing formula. This can be applied for the purpose of both pricing, as well as risk-management purposes, which will be demonstrated by working out the hedging strategy. The meaning of the pricing formula, and how it can be used in practical investment banking context, will be explained.
View full module detailsSemester 2
Optional
This 15-credit M-Level module introduces important topics and techniques in theoretical physics that have a wide range of applications in many areas physics and engineering and which the students will not have met before. Both the mathematical techniques and their applications are covered at a level appropriate for Masters level students coming to the end of their degree and who should be able to pull many different ideas in theoretical physics together.
View full module detailsThis module aims to provide an advanced level understanding of explosive nuclear astrophysics and the physics of stars. In particular, the course will provide an analytical underpinning of resonant reaction rates, together with the experimental techniques involved in their determination, as well as a theoretical treatment of nuclear reactions and celestial objects.
View full module detailsThis module will introduce the students to the principles and formalism of General Relativity and its applications to Black Holes and astrophysical phenomena.
View full module detailsGroup theory is a branch of mathematics developed to understand symmetries, which are powerful tools for understanding the properties of complex mathematical problems and physical systems. Group representations map abstract group elements to linear transformations on vector spaces. Representation theory allows us to better understand the properties of symmetry groups, and leads to powerful and compact solutions of otherwise difficult and intractable problems. This module builds on groups theory in MAT1031 Algebra and MAT2048 Groups & Rings.
View full module detailsQuantum Mechanics topics are essential building blocks for our understanding of many physical systems. The module assumes basic knowledge in quantum mechanics from modules in earlier years, but will provide a review at the beginning. Topics include a review of quantum mechanics, operator methods and applications to the harmonic oscillator, spin & angular momentum, symmetries in quantum mechanics. The second half of the module then moves beyond isolated quantum systems by addressing the topic of Quantum Entanglement and Quantum Coherence. Here the important concepts of entanglement and decoherence will be studied by developing an understanding of open quantum systems and the density matrix formalism.
View full module detailsThis module comprises two independent halves, on making qubit, and quantum communications. Quantum technologies, including quantum computing, rely on the quantum mechanical principles of superposition and entanglement. Furthermore, this superposition and entanglement needs to be controlled in useful ways. In this module you will learn about what physical systems allow quantum technology production, and their limitations. Quantum computers are only one type of device that uses these principles, and several other technologies are being created that are also enhanced by use of superpositions. Others include atomic clocks and Magnetic Resonance Imaging, MRI. We will also learn about the errors that inevitably build up in quantum computers when quantum superpositions are disturbed, and the strategies that might be built in to correct them. Quantum communications. This course provides a comprehensive introduction to the principles, protocols, and applications of quantum communications. Students will explore the fundamental concepts of quantum information transmission, quantum cryptography, and quantum communication protocols. They will also examine the challenges, advancements, and real-world applications of quantum communications including both theory and practical aspects.
View full module detailsThe module is an introduction to nonlinear partial differential equations (PDEs) with a focus on hyperbolic and dispersive PDEs. The module takes key classes of equations as the organising centre. Each class of PDEs is considered and the properties, analytical techniques, and analysis of each is taken in turn.
View full module detailsThis module introduces programming in Python for data science, with a focus on data pre-processing, data mining and analysis, machine learning and deep learning. Besides the practical hands-on experience with writing code, this course also covers the theoretical background on different data analysis techniques and machine learning approaches. The goal is to develop an understanding of how information can be extracted from data and how this information can be further used to make predictions, but importantly how this is done practically in terms of writing clear and transparent source code. Using real-world data sets and illustrative examples, this course will help to develop a theoretical understanding of data science as well as practical experience by developing useful software tools. Many of the techniques acquired through this module are likely to be of potential use in the dissertation project.
View full module detailsSemester 1 & 2
Compulsory
Under the guidance of an academic supervisor, the student will investigate a Physics topic of interest to him in depth. He will compose a written report on his studies, and give oral presentations on the work.
View full module detailsTeaching and learning
Computers are used as teaching aids in the laboratory for experimental control and data analysis, in modelling of physical problems, and for effective communication.
You’ll be taught by research-led academics who specialise in both theoretical and mathematical physics. They lead research in many areas, including our understanding of the structure and dynamics of complex systems – from atomic nuclei, to galaxies and super-massive black holes. Research in mathematical physics includes ergodic theory, quantum field theory, general relativity, fluid dynamics and mathematical biology.
- Laboratory work
- Lectures
- Online learning
- Practical sessions
- Project work
- Tutorials
Assessment
We use a variety of methods to assess you, including:
- Coursework
- Essays
- Examinations
- Presentations
- Reports.
General course information
Contact hours
Contact hours can vary across our modules. Full details of the contact hours for each module are available from the University of Surrey's module catalogue. See the modules section for more information.
Timetable
New students will receive their personalised timetable in Welcome Week. In later semesters, two weeks before the start of semester.
Scheduled teaching can take place on any day of the week (Monday – Friday), with part-time classes normally scheduled on one or two days. Wednesday afternoons tend to be for sports and cultural activities.
View our code of practice for the scheduling of teaching and assessment (PDF) for more information.
Location
Stag Hill is the University's main campus and where the majority of our courses are taught.
We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University.
Over the last decade, our employment figures have been among the best in the UK. In the Graduate Outcomes 2023, HESA), results show that 93 per cent of Surrey's undergraduate mathematics students and 96 per cent of Surrey's undergraduate physics students go on to employment or further study.
Our physicists and mathematicians are highly sought after in industry, research, education, management, medicine, law and business because of their wide-ranging skills, their knowledge of fundamental theory and their ability to solve complex problems.
Our Mathematics and Physics courses provide you with the analytical, experimental and computational skills valued in a wide range of careers. You’ll also learn a range of skills during your studies that will help with your employability, including interview techniques, CV preparation and job applications. If you opt to take a Professional Training placement, you’ll gain invaluable employment experience.
Recent graduate roles
Recent graduates are now employed in a range of organisations, including:
- 3M
- BBC
- BT
- Defence Research Agency
- GEC Marconi Research
- National Physical Laboratory
- NHS
- Nokia
- Shell International Petroleum
- Surrey Medical Imaging Systems.
Pursue further education
Many graduates take masters courses in a range of subjects, such as geophysics, nanotechnology, meteorology, quantum field theory, education management and science communication.
Others, particularly those with an MMath or MPhys, choose to pursue PhDs in nonlinear dynamics, fluids, data science, theoretical physics, nuclear science, astrophysics, semiconductors or photonics.
Learn more about the qualifications we typically accept to study this course at Surrey.
- BSc (Hons)
- ABB
- Required subjects: Mathematics at Grade A and Physics at grade B
- MPhys (Hons)
- AAA-AAB
- Required subjects: Mathematics at Grade A and Physics at grade A
- MMath (Hons)
- AAA
- Required subjects: Mathematics and Physics.
- BSc (Hons) with foundation year
- CCC
- Required subjects: Mathematics C and either Physics or Chemistry, or equivalent
Please note: A-level General Studies and A-level Critical Thinking are not accepted. Applicants taking the Science Practical Endorsement are expected to pass.
GCSE or equivalent: English Language at Grade 4 (C).
- BSc (Hons):
- DDD BTEC Extended Diploma and A-Level Mathematics at grade A
- Required subjects: BTEC must be in a relevant subject.
- MPhys (Hons):
- D*DD BTEC Extended Diploma and A-level Mathematics grade A
- Required subjects: BTEC must be in a relevant subject.
- MMath (Hons):
- D*DD BTEC Extended Diploma and A-level Mathematics grade A.
- Required subjects: BTEC must be in a relevant subject.
- BSc (Hons) with foundation year:
- MMM BTEC Extended Diploma and A Level Mathematics at grade C
- Required subjects: BTEC must be in a relevant subject.
GCSE or equivalent: English Language at Grade 4 (C).
- BSc (Hons):
- 33
- Required subjects: HL5/SL6 in Physics and either HL6/SL7 in Maths (Analysis and Approaches) or HL6 in Maths (Applications and Interpretations
- MPhys (Hons):
- 35-34
- Required subjects: HL6/SL7 in Physics and either HL6/SL7 in Maths (Analysis and Approaches) or HL6 in Maths (Applications and Interpretations
- MMath (Hons):
- 35
- Required subjects: HL6/SL7 in Physics and either HL6/SL7 in Maths (Analysis and Approaches) or HL6 in Maths (Applications and Interpretations
- BSc Hons) with Foundation Year:
- 29
- Required subjects: HL4/SL6 in Physics and either HL4/SL6 in Maths (Analysis and Approaches) or HL4 in Maths (Applications and Interpretations
GCSE or equivalent: English A HL4/SL4 or English B HL5/SL6
- BSc (Hons):
- 78%
- Required subjects: Grade 8.5 in Mathematics (5 Period) and at least 7.5 in Physics.
- MPhys (Hons):
- 85%-82%
- Required subjects: Grade 8.5 and 7.5 in Maths and Physics.
- MMath (Hons):
- 85%
- Required subjects: Grade 8.5 and 7.5 in Maths and Physics
- BSc (Hons) with foundation year:
- For foundation year equivalencies please contact the Admissions team.
GCSE or equivalent: English Language (1/2) - 6 English Language (3) - 7.
- BSc (Hons):
- QAA recognised Access to Higher Education Diploma, 45 level 3 credits including 30 at Distinction and 15 at Merit. Additionally, A-level Mathematics grade A.
- Required subjects: Modules must be in relevant subjects.
- MPhys (Hons):
- QAA-recognised Access to Higher Education Diploma, 45 Level 3 credits including 45 at Distinction - 39 at Distinction and 6 at Merit. Additionally, A-level Mathematics grade A.
- Required subjects: Modules must be in relevant subjects.
- MMaths (Hons):
- QAA-recognised Access to Higher Education Diploma, 45 Level 3 Credits at Distinction. Additionally, A-level Mathematics grade A.
- Required subjects: Modules must be in relevant subjects.
- BSc (Hons) with foundation year:
- QAA-recognised Access to Higher Education Diploma, 21 Level 3 Credits at Distinction, 3 Level 3 Credits at Merit and 21 Level 3 Credits at Pass. Additionally, A-level Mathematics grade C.
- Required subjects: Modules must be in relevant subjects.
GCSE or equivalent: English Language at Grade 4 (C).
- BSc (Hons):
- AABBB
- Required subjects: Mathematics Grade A and Physics.
- MPhys (Hons):
- AAAAB-AAABB
- Required subjects: Mathematics Grade A and Physics.
- MMath (Hons):
- AAAAB
- Required subjects: Mathematics Grade A and Physics
- BSc (Hons) with foundation year:
- BBBCC
- Required subjects: Maths at grade B and Physics OR Chemistry
GCSE or equivalent: English Language - Scottish National 5 - C
- BSc (Hons):
- ABB from a combination of the Advanced Skills Challenge Certificate and two A-levels
- Required subjects: A-level Mathematics at grade A and A-level Physics at grade B
- MPhys (Hons):
- AAA-AAB from a combination of the Advanced Skills Challenge Certificate and two A-levels
- Required subjects: Mathematics at Grade A and Physics at grade A
- MMath (Hons):
- AAA from a combination of the Advanced Skills Challenge Certificate and two A-levels
- Required subjects: A-level Mathematics and Physics at grade A.
- BSc (Hons) with foundation year:
- CCC from a combination of the Advanced Skills Challenge Certificate and two A-Levels
- Required subjects: Maths at grade C and Chemistry OR Physics
Please note: A-level General Studies and A-level Critical Thinking are not accepted. Applicants taking the Science Practical Endorsement are expected to pass.
GCSE or equivalent: English Language and Mathematics – Numeracy as part of the Welsh Baccalaureate. Please check the A-level drop down for the required GCSE levels.
This route is only applicable to the MPhys and MMath courses.
Applicants taking the Extended Project Qualification (EPQ) will receive our standard A-level offer, plus an alternate offer of one A-level grade lower, subject to achieving an A grade in the EPQ. The one grade reduction will not apply to any required subjects.
This grade reduction will not combine with other grade reduction policies, such as contextual admissions policy or In2Surrey.
Select your country
If you are studying for Australian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Australia.
UK requirement (A-level) | Australian Tertiary Admission Rank (ATAR) equivalent | Overall Position (OP) score |
---|---|---|
AAA | 96 | 3 |
AAB | 94 | 4 |
ABB | 92 | 5 |
BBB | 90 | 6 |
BBC | 88 | 7 |
BCC | 86 | 8 |
CCC | 84 | 9 |
Subject requirements
For courses that have specific-subject requirements at A-level:
UK subject requirement (A-level) | Northern Territory | South Australia | Western Australia | Other states/territories |
---|---|---|---|---|
Grade A | A (17-19) | A | Please contact admissions@surrey.ac.uk | |
Grade B | B (14-16) | B | Please contact admissions@surrey.ac.uk |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
- English: Year 10 Certificate, English C.
- Mathematics: Year 10 Certificate, Mathematics C.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Austrian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Austria.
UK requirement (A-level) | Matura (Reifeprüfung) equivalent |
---|---|
A*AA | 1 in two subjects and 2 in all other subjects |
AAA | 1 in one subject and 2 in all other subjects |
AAB | 1 in one subject and 2 in all other subjects |
ABB | 1 in one subject and 2 in all other subjects |
BBB | 2 overall |
BBC | 2.2 overall |
BCC | 2.4 overall |
CCC | 2.6 overall |
CCD | 2.8 overall |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Matura (Reifeprüfung) equivalent |
---|---|
Grade A | 1 |
Grade B | 2 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Matura (Reifeprüfung), English 2 (gut).
Mathematics:
Grade C GCSE equivalent | Matura (Reifeprüfung), Mathematics 4 (genugend) |
---|---|
Grade B GCSE equivalent | Matura (Reifeprüfung), Mathematics 3 (befriedigend) |
Grade A GCSE equivalent | Matura (Reifeprüfung), Mathematics 2 (gut) |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept school leaving qualifications from Azerbaijan.
If you are studying for a Bangladeshi Higher Secondary Certificate qualification, you must obtain a GPA of 5 out of 5 or 80% to apply for our undergraduate courses.
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Higher Secondary Certificate equivalent |
---|---|
Grade A | 80% |
Grade B | 80% |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics: Higher Secondary Certificate/Intermediate Certificate, Mathematics 60-69.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Belgian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Belgium.
UK requirement (A-level) | Certificat d'Enseignement Secondaire Supérieur (CESS)/ Diploma van Secundair Onderwijs / Diploma van de hogere Secudaire Technische School / Abschlusszeugnis der Oberstufe des Sekundar unterrichts equivalent |
---|---|
A*AA | 16/20 or 8/10 or 80% |
AAA | 15.5/20 or 7.8/10 or 78% |
AAB | 15/20 or 7.5/10 or 75% |
ABB | 14.5/20 or 7.3/10 or 73% |
BBB | 14/20, 7/10 or 70% |
BBC | 14/20 or 6.5/10 or 68% |
BCC | 13.5/20 or 6.5/10 or 65% |
CCC | 13/20, 6.5/10 or 65% |
CCD | 12/20, 6/10 or 60% |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Certificat d'Enseignement Secondaire Supérieur (CESS) equivalent |
---|---|
Grade A | 16/20 |
Grade B | 14/20 |
UK subject requirement (A-level) | Diploma van Secundair Onderwijs equivalent |
---|---|
Grade A | 8/10 |
Grade B | 7/10 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
- English: IELTS Academic required.
- Mathematics:
Grade C GCSE equivalent | Getuigschrift van hoger secundair onderwijs: 12/20 or 6/10 or 60% Certificat d'enseignement secondaire supérieur / Abschlusszeugnis der Oberstufe des Sekundarunterrichts / Dipoloma van Secundair onderwijs: 10/20 or 5/10 or 50% |
---|---|
Grade B GCSE equivalent | Getuigschrift van hoger secundair onderwijs: 14/20 or 7/10 or 70% Certificat d'enseignement secondaire supérieur / Abschlusszeugnis der Oberstufe des Sekundarunterrichts / Dipoloma van Secundair onderwijs: 11/20 or 6/10 or 55% |
Grade A GCSE equivalent | Getuigschrift van hoger secundair onderwijs: 16/20 or 8/10 or 80% Certificat d'enseignement secondaire supérieur / Abschlusszeugnis der Oberstufe des Sekundarunterrichts / Dipoloma van Secundair onderwijs: 12/20 or 6/10 or 60% |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept school leaving qualifications from Botswana.
The Certificado de Conclusão de Ensino Médio/Certificado de Conclusão de Segundo Grau is considered for entry onto our Foundation Years at Surrey. On the course page on our website, please check to see if there is an option for a Foundation Year before making a UCAS application.
- Cambridge O-levels
Accepted with the same requirements as UK GCSEs. - Cambridge A-levels
Accepted with the same requirements as UK A-levels.
If you are studying for Bulgarian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Bulgaria.
UK requirement (A-level) | Diploma za Sredno Obrazovanie equivalent |
---|---|
A*AA | 5.8 |
AAA | 5.7 |
AAB | 5.6 |
ABB | 5.5 |
BBB | 5.3 |
BBC | 5.1 |
BCC | 4.9 |
CCC | 4.7 |
CCD | 4.5 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Diploma za Sredno Obrazovanie equivalent |
---|---|
Grade A | 5.7 |
Grade B | 5.3 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
Grade C GCSE equivalent | Diploma za Sredno Obrazovanie*, Pass/3 |
---|---|
Grade B GCSE equivalent | Diploma za Sredno Obrazovanie*, Good/4 |
Grade A GCSE equivalent | Diploma za Sredno Obrazovanie*, Good/4 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Canadian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Canada. Please contact the admissions team if you are studying in Quebec, or an institution delivering the Quebec curriculum.
UK requirement (A-level) | Ontario | British Columbia | Other provinces and territories (excluding Quebec) |
---|---|---|---|
Grade 12 Secondary School Diploma equivalent | |||
A*AA | 80% in six courses | Two As and three Bs | 80% in five courses |
AAA | 80% in six courses | 80% / One A and four Bs | 80% in five courses |
AAB | 75% in six courses | 75% / Five Bs | 75% in five courses |
ABB | 70% in six courses | 70% / Four Bs and one C | 70% in five courses |
BBB | 65% in six courses | 65% / Three Bs and two Cs | 65% in five courses |
BBC | 60% in six courses | 60% / One B and four Cs | 60% in five courses |
BCC | 55% in six courses | 55% / Five Cs | 55% in five courses |
CCC | 50% in six courses | 50% / Four Cs and one D | 50% in five courses |
When a specific subject is required, that subject should be taken in grade 12 of the High School Diploma.
Single Subject Grade | Ontario | British Columbia | Other provinces (excluding Quebec) |
---|---|---|---|
A | 80% | A | 80% |
B | 75% | B | 75% |
Minimum standard in English and Mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and Mathematics.
English: Applicants who have completed Grade 12 Canadian High School/Secondary School qualifications should achieve grade B or 75% in a grade 12 English module. Applicants who were not required to take grade 12 English, or did not reach the required grade, will be required to take a recognised English language test.
Mathematics: Grade 11 Secondary School Diploma, Mathematics Pass.
Some courses may require higher grades in English and Mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We accept the Chinese National University Entrance Examination (Gaokao) for direct entry to Year 1 UG programmes. Please see the table below for our grade equivalencies:
UK requirement (A-level) | Chinese National University Entrance Examination (Gaokao) |
---|---|
AAA | 80% |
AAB | 78% |
ABB | 73% |
BBB | 70% |
BBC | 68% |
BCC | 65% |
CCC | 63% |
Where there is a subject-specific requirement, students should achieve the same % in that subject (e.g. if Maths is a requirement of a BBB subject, the student should achieve 74% in Maths). Senior Secondary School Graduation Certificate and IELTS required.
For further information on these entry requirements, please explore our dedicated China site (中文网站).
If you are studying for Croatian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Croatia.
UK requirement (A-level) | Svjedodžba o Drzavnoj Maturi equivalent |
---|---|
A*AA | 5 |
AAA | 4.8 |
AAB | 4.5 |
ABB | 4.3 |
BBB | 4 |
BBC | 3.8 |
BCC | 3.6 |
CCC | 3.4 |
CCD | 3.2 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Svjedodžba o Dravnoj Maturi equivalent |
---|---|
Grade A | 5 |
Grade B | 4 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
- English: IELTS Academic required.
- Mathematics:
GCSE C Grade equivalent | Svjedodžba o Drzavnoj Maturi, Mathematics 2 |
---|---|
GCSE B Grade equivalent | Svjedodžba o Drzavnoj Maturi, Mathematics 2.5 |
GCSE A Grade equivalent | Svjedodžba o Drzavnoj Maturi, Mathematics 3 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Cypriot qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Cyprus.
Please note: If you are studying in Northern Cyprus and are looking for our Lise Diplomasi equivalents please visit our Turkey page.
UK requirement (A-level) | Apolytirion equivalent | Apolytirion equivalent (private school, out of 100) |
---|---|---|
A*AA | 19.5 and one A at A-level | |
AAA | 19.5 | 93 |
AAB | 19 | 91 |
ABB | 18.5 | 88 |
BBB | 18 | 86 |
BBC | 17.5 | 83 |
BCC | 17 | 81 |
CCC | 16.5 | 78 |
CCD | 16 | 76 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Apolytirion equivalent |
---|---|
Grade A | 19 |
Grade B | 18 |
Minimum standard in English and Mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Apolytirion or Lykeion, 14 in a mathematics-based subject (inc Accounting) |
---|---|
GCSE B Grade equivalent | Apolytirion or Lykeion, 15 in a mathematics-based subject (inc Accounting) |
GCSE A Grade equivalent | Apolytirion or Lykeion, 15 in a mathematics-based subject (inc Accounting) |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Czech qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Czech Republic.
UK requirement (A-level) | Maturitní zkoušce/Maturita equivalent |
---|---|
A*AA | 1 overall with no less than 2 in any subject and at least two scores of 1 |
AAA | 1.3 overall with no less than 2 in any subject and at least one score of 1 |
AAB | 1.5 overall with no less than 2 in any subject |
ABB | 1.7 overall with no less than 2.5 in any subject |
BBB | 2 overall |
BBC | 2.5 overall |
BCC | 2.7 overall |
CCC | 3 overall |
CCD | 3.5 overall |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Maturitní zkoušce/Maturita equivalent |
---|---|
Grade A | 1 |
Grade B | 2 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
- English: IELTS Academic required.
- Mathematics:
Grade C | *Maturitní zkoušce*/*Maturita*, 4 (*Dostatecny*). |
---|---|
Grade B | *Maturitní zkoušce*/*Maturita*, 3 (*Dobrý*). |
Grade A | *Maturitní zkoušce*/*Maturita*, 3 (*Dobrý*). |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Danish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Denmark.
UK requirement (A-level) | Højere Forberedelseseksamen (HF), Højere Handelseksamen (HHX), Højere Teknisk Eksamen (HTX), Studentereksamen (STX) equivalent |
---|---|
A*AA | 12 |
AAA | 12 |
AAB | 10 |
ABB | 10 |
BBB | 7 |
BBC | 7 |
BCC | 7 |
CCC | 4 |
CCD | 4 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Hojere Forberedelseseksamen (HF) / Hojere Handelseksamen (HHX) / Hojere Teknisk Eksamen (HTX) / Studentereksamen (STX) equivalent |
---|---|
Grade A | 10 |
Grade B | 7 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
- English: Hojere Forberedelseseksamen (HF) / Hojere Handelseksamen (HHX) / Hojere Teknisk Eksamen (HTX) / Studentereksamen (STX) - 7. If you have taken the Folkeskolens 10 Klasseprove then we will require IELTs.
- Mathematics:
Grade C | Hojere Forberedelseseksamen (HF) / Hojere Handelseksamen (HHX) / Hojere Teknisk Eksamen (HTX) / Studentereksamen (STX) - 02 Folkeskolens 10 Klasseprove - 7 |
---|---|
Grade B | Hojere Forberedelseseksamen (HF) / Hojere Handelseksamen (HHX) / Hojere Teknisk Eksamen (HTX) / Studentereksamen (STX) - 04 Folkeskolens 10 Klasseprove - 10 |
Grade A | Hojere Forberedelseseksamen (HF) / Hojere Handelseksamen (HHX) / Hojere Teknisk Eksamen (HTX) / Studentereksamen (STX) - 04 Folkeskolens 10 Klasseprove - 12 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept school leaving qualifications from Egypt.
If you are studying for Estonian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Estonia.
UK requirement (A-level) | Gümnaasiumi lõputunnistus (Secondary School Certificate) equivalent with the Riigieksamitunnistus |
---|---|
A*AA | 95% overall and scores of 5.0 in at least three individual subjects |
AAA | 90% overall and scores of 5.0 in at least three individual subjects |
AAB | 85% overall and scores of 4.5 in at least three individual subjects |
ABB | 80% overall and scores of 4.5 in at least three individual subjects |
BBB | 75% overall and scores of 4.0 in at least three individual subjects |
BBC | 70% overall and scores of 4.0 in at least three individual subjects |
BCC | 65% overall and scores of 4.0 in at least three individual subjects |
CCC | 60% overall and scores of 3.5 in at least three individual subjects |
CCD | 60% overall and scores of 3.5 in at least three individual subjects |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Gümnaasiumi lõputunnistus (Secondary School Certificate) equivalent |
---|---|
Grade A | 90% (state exam) or 5.0 (school exam) |
Grade B | 85% (state exam) or 4.5 (school exam) |
*If maths is required A-Level subject then the student must have studied "Extensive mathematics" (not Narrow Mathematics)*
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English
- IELTS Academic required.
Mathematics:
Grade C | Gümnaasiumi lõputunnistus - 3 |
---|---|
Grade B | Gümnaasiumi lõputunnistus - 4 |
Grade A | Gümnaasiumi lõputunnistus - 4 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Finnish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Finland.
UK requirement (A-level) | Ylioppilastutkinto/Studentexamen equivalent |
---|---|
A*AA | L E E M |
AAA | E E M M |
AAB | E M M M |
ABB | E M M M |
BBB | M M M M |
BBC | M M M C |
BCC | M M M C |
CCC | C C C C |
CCD | C C C B |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Ylioppilastutkinto/Studentexamen equivalent |
---|---|
Grade A | E |
Grade B | M |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English:
Ylioppilastukintotodistus / Studentexamensbetyg - M / 5
Mathematics:
Grade C | *Ylioppilastutkinto*/*Studentexamen*, A / 2 |
---|---|
Grade B | *Ylioppilastutkinto*/*Studentexamen*, B / 3 |
Grade A | *Ylioppilastutkinto*/*Studentexamen*, C / 4 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for French qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for France.
UK requirement (A-level) | Baccalauréat equivalent |
---|---|
AAA | 14 |
AAB | 13.5 |
ABB | 13 |
BBB | 12.5 |
BBC | 12 |
BCC | 11.5 |
CCC | 11 |
CCD | 10.5 |
UK requirement (A-level) | Option Internationale du Baccalauréat (OIB) / French International Baccalauréat (BFI) equivalent |
---|---|
AAA | 14 |
AAB | 13 |
ABB | 13 |
BBB | 12 |
BBC | 11.5 |
BCC | 11 |
CCC | 11 |
CCD | 10.5 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Baccalauréat equivalent |
---|---|
Grade A | 14 |
Grade B | 13 |
UK subject requirement (A-level) | Option Internationale du Baccalauréat (OIB) / French International Baccalauréat (BFI) equivalent |
---|---|
Grade A | Same as overall requirement |
Grade B | Same as overall requirement |
Where Mathematics is a required A-level subject, we expect you to study Spécialité Maths (Advanced Maths) in Terminale; however, where Mathematics is required as a second Science subject, we will accept Maths Complémentaires (General Maths) in Terminale. For Engineering courses that ask for Physics as a required subject, we will accept Engineering Sciences.
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and Mathematics.
English:
- Baccalauréat, English, 12.
- OIB, English, 10.
Mathematics:
GCSE C Grade equivalent | Baccalauréat, Mathematics 10 |
---|---|
GCSE B Grade equivalent | Baccalauréat, Mathematics 11 |
GCSE A Grade equivalent | Baccalauréat, Mathematics 11 |
Alternatively, where Mathematics is not studied as part of the Baccalauréat, we will accept Mathematics studies until the end of Seconde, where evidence can be provided of 10/20 in school assessments.
Some courses may require higher grades in English and Mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for German qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Germany.
UK requirement (A-level) | Abitur equivalent |
---|---|
AAA | 1.6 |
AAB | 1.8 |
ABB | 2.0 |
BBB | 2.2 |
BBC | 2.4 |
BCC | 2.6 |
CCC | 2.8 |
CCD | 3.0 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Abitur equivalent |
---|---|
Grade A | 13/15 |
Grade B | 12/15 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
GCSE C Grade equivalent | Abitur - 10 Realschulabschluss / Mittlere Reife / Mittlerer Schulabschluss / Erweiterter Realschulabschluss / Fachoberschulreife / Fachhochschulreife / Sekundarabschluss - 2 |
---|---|
GCSE B Grade equivalent | Abitur - 11 Realschulabschluss / Mittlere Reife / Mittlerer Schulabschluss / Erweiterter Realschulabschluss / Fachoberschulreife / Fachhochschulreife / Sekundarabschluss - 2 |
GCSE A Grade equivalent | Abitur - 11 Realschulabschluss / Mittlere Reife / Mittlerer Schulabschluss / Erweiterter Realschulabschluss / Fachoberschulreife / Fachhochschulreife / Sekundarabschluss - 1 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the Ghanaian Senior Secondary School Certificate.
If you are studying for Greek qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Greece.
UK requirement (A-level) | Apolytirion equivalent |
---|---|
A*AA | 19.5 and one A at A-level |
AAA | 19.5 |
AAB | 19 |
ABB | 18.5 |
BBB | 18 |
BBC | 17.5 |
BCC | 17 |
CCC | 16.5 |
CCD | 16 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Apolytirion equivalent |
---|---|
Grade A | 19 |
Grade B | 18 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Apolytirion or Lykeion, 14 in a mathematics-based subject |
---|---|
GCSE B Grade equivalent | Apolytirion or Lykeion, 15 in a mathematics-based subject |
GCSE A Grade equivalent | Apolytirion or Lykeion, 15 in a mathematics-based subject |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We welcome applicants with Pan-Hellenic qualifications, although these will not form part of any offer made.
If you are studying for a qualification in Hong Kong, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Hong Kong.
UK requirement (A-level) | Hong Kong Diploma of Secondary Education (HKDSE) equivalent | Associate Degree, Higher Certificate or Higher Diploma - 1st year entry | Associate Degree, Higher Certificate or Higher Diploma - 2nd year entry |
---|---|---|---|
AAA | 554 to include two electives | 3.1 overall | 3.3 overall |
AAB | 544 to include two electives | 3.0 overall | 3.2 overall |
ABB | 444 to include two electives | 2.9 overall | 3.1 overall |
BBB | 443 to include two electives | 2.8 overall | 3.0 overall |
BBC | 433 to include two electives | 2.7 overall | 3.0 overall |
BCC | 333 to include two electives | 2.6 overall | 3.0 overall |
CCC | 332 to include two electives | 2.5 overall | 3.0 overall |
Associate degrees
If you have an associate degree, you can apply for first or second year entry.
For 1st year entrants:
- You must meet the subject requirements, either through the secondary or post-secondary studies
For 2nd year entrants:
- You must have covered the modules and content included in the first year of the Surrey degree course (as assessed by the appropriate admissions tutor). Your secondary qualifications (e.g. HKDSE) will also be taken into account during your application.
We do not include Liberal Studies in our offers.
If you do not meet the entry requirements, you can apply to study for an International Foundation Year at our International Study Centre, which will prepare you for a full undergraduate degree course.
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Hong Kong Diploma of Secondary Education (HKDSE) equivalent |
---|---|
Grade A | 5 (elective) |
Grade B | 4 (elective) |
When A-level Maths is a required subject, the extended part of HKDSE Maths is required.
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Hong Kong Diploma of Secondary Education (HKDSE), English 4.
Mathematics: Hong Kong Diploma of Secondary Education (HKDSE), Mathematics 3.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for a Hungarian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Hungary.
UK requirement (A-level) | Érettségi/Matura equivalent |
---|---|
AAA | 5, 5 in two advanced level subjects and 5, 5, 5 in three intermediate level subjects |
AAB | 5, 5 in two advanced level subjects and 5, 5, 4 in three intermediate level subjects |
ABB | 5, 5 in two advanced level subjects and 5, 4, 4 in three intermediate level subjects |
BBB | 5, 5 in two advanced level subjects and 4, 4, 4 in three intermediate level subjects |
BBC | 5, 4 in two Advanced Level subjects and 5, 4, 4 in three Intermediate Level subjects |
BCC | 5, 4 in two Advanced Level subjects and 4, 4, 4 in three Intermediate Level subjects |
CCC | 4, 4 in two Advanced Level subjects and 4, 4, 4 in three Intermediate Level subjects |
CCD | 4, 4 in two Advanced Level subjects and 4, 4, 3 in three Intermediate Level subjects |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Érettségi/Matura equivalent |
---|---|
Grade A | 5 at Advanced level at 75% or above |
Grade B | 5 Advanced level at 70% or above |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Érettségi/Matura, pass (2). |
---|---|
GCSE B Grade equivalent | Érettségi/Matura, average (3). |
GCSE A Grade equivalent | Érettségi/Matura, average (3). |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for an Indian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for India.
UK requirement (A-level) to Standard XII equivalent:
A-levels | ICSE/CBSE/ISC boards | West Bengal board | Other boards |
---|---|---|---|
A*AA | 90% | 80% | 92% |
AAA | 85% | 75% | 90% |
AAB | 80% | 70% | 85% |
ABB | 75% | 65% | 80% |
BBB | 70% | 60% | 75% |
BBC | 65% | 55% | 70% |
BCC | 60% | 50% | 65% |
CCC | 55% | 45% | 60% |
Subject requirements
UK subject requirement (A-level) | ICSE/CBSE/ISC boards | West Bengal board | Other boards |
---|---|---|---|
Standard XII equivalent | |||
Grade A | 80% | 75% | 85% |
Grade B | 70% | 65% | 75% |
Grade C | 60% | 55% | 65% |
Grade D | 50% | 45% | 55% |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English:
- Higher Secondary Certificate (HSC) / Standard XII , English 70% from CBSE or ISC exam boards
- Higher Secondary Certificate (HSC) / Standard XII, English 80% from the majority of Indian state boards (excluding Haryana, Andhra Pradesh/Telangana/U.P./Bihar/Gujrat/Punjab).
Mathematics:
40% in either of the following All India Standard X qualifications:
- All India Secondary School Examination (Exam board = Central Board of Secondary Education)
- Indian Certificate of Secondary Education Examination (Exam board = Council for the Indian School Certificate Examinations, New Delhi)
Alternatively, 50% in Standard X from a state board.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept school leaving qualifications from Indonesia.
If you are studying for an Iranian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Iran.
UK requirement (A-level) | Peeshdaneshgahe (Pre-University Certificate) (up until 2019), National University Entrance Examination (Kunkur) |
---|---|
AAA - AAB | 16/20 overall |
ABB - BBB | 14/20 overall |
BBC | 13/20 overall |
BCC | 12/20 overall |
CCC | 11/20 overall |
Award of the High School Diploma (Theoretical Stream, post-2019) studied between 4-5 years, with an overall grade of 14*. The Technical and Vocational stream and Work and Knowledge stream will not be acceptable for direct entry.
*dependent on subject requirements
We do not accept school leaving qualifications from Iraq.
If you are studying for an Irish qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Ireland.
UK requirement (A-level) | Irish Leaving Certificate (Higher Level) equivalent |
---|---|
AAA | H2, H2, H2, H2, H2, H2 |
AAB | H2, H2, H2, H2, H3, H3 |
ABB | H2, H2, H2, H3, H3, H3 |
BBB | H2, H3, H3, H3, H3, H3 |
BBC | H3, H3, H3, H3, H3, H4 |
BCC | H3, H3, H3, H4, H4, H4 |
CCC | H3, H4, H4, H4, H4, H4 |
CCD | H4, H4, H4, H4, H5, H5 H4, H4, H4, H4, O1, O1 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Irish Leaving Certificate (Higher Level) equivalent |
---|---|
Grade A | H2 |
Grade B | H3 |
We will look at the QQI Level 5 Certificate on a case by case basis depending on module relevance to chosen degree programme. Please contact Admissions for more information.
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English and mathematics:
GCSE C Grade equivalent | Irish Leaving Certificate - O4 |
---|---|
GCSE B Grade equivalent | Irish Leaving Certificate - O3 |
GCSE A Grade equivalent | Irish Leaving Certificate - O3 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for an Italian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Italy.
UK requirement (A-level) | Diploma conseguito con l’Esame di Stato equivalent |
---|---|
A*AA | 96 |
AAA | 95 |
AAB | 90 |
ABB | 85 |
BBB | 80 |
BBC | 75 |
BCC | 70 |
CCC | 65 |
CCD | 60 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Individual subject mark |
---|---|
Grade A | 9/10 |
Grade B | 8/10 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Diploma di Esame di Stato, Pass (6) |
---|---|
GCSE B Grade equivalent | Diploma di Esame di Stato, Pass (6) |
GCSE A Grade equivalent | Diploma di Esame di Stato, Pass (7) |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the Upper Secondary School Certificate.
We do not accept school leaving qualifications from Jordan.
We do not accept school leaving qualifications from Kazakhstan.
Accepted qualifications
- Kenyan Certificate of Secondary Education (KCSE)
Accepted with the same requirements as UK GCSEs. - Cambridge Overseas Higher School Certificate (COHSC)
- East African Advanced Certificate of Education (EAACE)
- Kenya Advanced Certificate of Education (KACE)
Accepted with the same requirements as UK A-levels.
We do not accept school leaving qualifications from Kuwait.
If you are studying for a Latvian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Latvia.
UK requirement (A-level) | Atestāts par vispārējo vidējo izglītību equivalent |
---|---|
AAA | 9.5 overall with at least 80% in three state exams |
AAB | 9.0 overall with at least 80% in three state exams |
ABB | 8.5 with at least 80% in three state exams |
BBB | 8.0 – with at least 80% in one state exam and 75% in 2 state exams |
BBC | 7.5 - with at least 75% in three state exams |
BCC | 7.5 - with at least 75% in two state exams and 70% in one state exam |
CCC | 7.0 - with at least 75% in one state exams and 70% in two state exams |
CCD | 6.5 - with at least 70% in three state exams |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Atestāts par vispārējo vidējo izglītību equivalent |
---|---|
Grade A | 90% |
Grade B | 90% |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Atestāts par vispārējo vidējo izglītību - Pass (4) |
---|---|
GCSE B Grade equivalent | Atestāts par vispārējo vidējo izglītību - Pass (5) |
GCSE A Grade equivalent | Atestāts par vispārējo vidējo izglītību - Pass (6) |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the General Secondary Education Certificate.
If you are studying for a Lithuanian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Lithuania.
UK requirement (A-level) | Brandos Atestatas equivalent |
---|---|
A*AA | 9.5 – with at least 95% in three state exams, including relevant subjects |
AAA | 9.0 – with at least 90% in three state exams, including relevant subjects |
AAB | 9.0 – with at least 87% in three state exams, including relevant subjects |
ABB | 8.5 – with at least 85% in three state exams, including relevant subjects |
BBB | 8.0 – with at least 80% in three state exams, including relevant subjects |
BBC | 7.5 - with at least 75% in three state exams, including relevant subjects |
BCC | 7.0 - with at least 75% in three state exams, including relevant subjects |
CCC | 7.0 - with at least 70% in three state exams, including relevant subjects |
CCD | 6.5 with at least 70% in three state exams |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Brandos Atestatas equivalent |
---|---|
Grade A | 90% |
Grade B | 80% |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
GCSE C Grade equivalent | Brandos Atestatas, 6 |
---|---|
GCSE B Grade equivalent | Brandos Atestatas, 7 |
GCSE A Grade equivalent | Brandos Atestatas, 7 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for qualifications from Luxembourg, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Luxembourg.
UK requirement (A-level) | Diplôme de Fin d'Études Secondaires equivalent |
---|---|
A*AA | 51 |
AAA | 48 |
AAB | 46 |
ABB | 44 |
BBB | 42 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Diplôme de Fin d'Études Secondaires equivalent |
---|---|
Grade A | 48 |
Grade B | 39 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics: *Certificat de Fin d'études Moyennes*, Maths 40-47.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for a Malaysian qualification, you will need a suitable equivalent grade to apply for our undergraduate courses.
Suitably qualified applicants can be considered for Year 2 entry. Please refer enquiries to international@surrey.ac.uk.
The table below shows grade equivalencies for Malaysia.
UK requirement (A-level) | Sijil Tinggi Persekolahan Malaysia (STPM) equivalent |
---|---|
A*AA | A, A-, A- |
AAA | A-, A-, A- |
AAB | A-, A-, B+ |
ABB | A-, B+, B+ |
BBB | B+, B+, B+ |
BBC | B-, B-, C+ |
BCC | B-, B-, C+ |
CCC | B-, C+, C+ |
UK requirement (A-level) | Matrikulasi equivalent | Diploma equivalent (considered on a case-by-case basis) |
---|---|---|
AAA | CGPA 3.4 | CGPA 3.20 |
AAB | CGPA 3.3 | CGPA 3.10 |
ABB | CGPA 3.2 | CGPA 3.00 |
BBB | CGPA 3.1 | CGPA 2.90 |
BBC | CGPA 3.0 | CGPA 2.90 |
BCC | CGPA 2.9 | CGPA 2.80 |
CCC | CGPA 2.8 | CGPA 2.70 |
UK requirement (A-level) | Unified Examination Certificate |
---|---|
AAB | B3 in five subjects (excluding Chinese and Malay) |
ABB | B3 in five subjects (excluding Chinese and Malay) |
BBB | B4 in five subjects (excluding Chinese and Malay) |
BBC | B4 in five subjects (excluding Chinese and Malay) |
BCC | B5 in five subjects (excluding Chinese and Malay) |
CCC | B5 in five subjects (excluding Chinese and Malay) |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Sijil Tinggi Persekolahan Malaysia (STPM) equivalent |
---|---|
Grade A | A- |
Grade B | B+ |
UK subject requirement (A-level) | Matrikulasi equivalent |
---|---|
Grade A | 3.67 |
Grade B | 3.33 |
UK subject requirement (A-level) | Unified Examination Certificate (UEC) |
---|---|
Grade A | A2 |
Grade B | B4 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Sijil Pelajaran Malaysia (SPM) English with CEFR grade B2 in all components OR Pre-2021, Sijil Pelajaran Malaysia (SPM), 1119 Advanced English C.
Mathematics: Sijil Pelajaran Malaysia (SPM), Mathematics C.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Maltese qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Malta.
UK requirement (A-level) | MEC Advanced | MEC Intermediate |
---|---|---|
AAA | AA | AAA |
AAB | AB | AAB |
ABB | AB | ABB |
BBB | BBB | BB |
BBC | BC | BBC |
BCC | BC | BCC |
CCC | CC | CCC |
CCD | CD | CCD |
Please note: you will need the Advanced and Intermediate, so for BBB in the UK A-levels we would ask for BB MEC Advanced and BBB MEC Intermediate.
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Advanced Matriculation Certificate equivalent |
---|---|
Grade A | A |
Grade B | B |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Secondary Education Certificate, English, 3
Mathematics:
Grade C/4 | Secondary Education Certificate, 5. |
---|---|
Grade B/5 | Secondary Education Certificate, 4. |
Grade A/7 | Secondary Education Certificate, 2 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We accept the following qualifications:
GCE O-levels
Accepted with the same requirements as UK GCSEs.Cambridge Overseas Higher School Certificate/GCE Advanced Level
Accepted with the same requirements as UK A-levels.
We do not accept the Diplomă de Bacalaureat from Moldova for year 1 entry. However, a foundation course or evidence of further study will be considered.
If you are studying for qualifications in the Netherlands, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for the Netherlands.
UK requirement (A-level) | Voorbereidend Wetenschappelijk Onderwijs (VWO) |
---|---|
AAA | 8 |
AAB | 7.8 |
ABB | 7.4 |
BBB | 7.2 |
BBC | 7 |
BCC | 6.8 |
CCC | 6.6 |
CCD | 6.4 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK requirement (A-level) | Voorbereidend Wetenschappelijk Onderwijs (VWO) |
---|---|
Grade A | 8.0 |
Grade B | 7.5 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: VWO/Hoger Algemeen Voortgezet Onderwijs (HAVO) diploma 8
Mathematics:
Grade C | VWO/Hoger Algemeen Voortgezet Onderwijs (HAVO) diploma 6 |
---|---|
Grade B | VWO/Hoger Algemeen Voortgezet Onderwijs (HAVO) diploma 6 |
Grade A | VWO/Hoger Algemeen Voortgezet Onderwijs (HAVO) diploma 6.5 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for New Zealand qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for New Zealand.
UK requirement (A-level) | Grade equivalence |
---|---|
AAA | NCEA Level 3 with Excellence endorsement |
AAB | NCEA Level 3 with Merit endorsement including 30 level 3 credits at Excellence |
ABB | NCEA Level 3 with Merit endorsement including 27 level 3 credits at Excellence |
BBB | NCEA Level 3 with Merit endorsement including 24 Level 3 credits at Excellence |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | National Certificate of Educational Achievement (NCEA), Level 3 equivalent |
---|---|
Grade A | 20 Level 3 credits in the required subject, with Excellence (E) in 15 credits. |
Grade B | 20 Level 3 credits in the required subject, with Excellence (E) in 12 credits. |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: National Certificate of Educational Achievement (NCEA), English, Achieved.
Mathematics: National Certificate of Educational Achievement (NCEA), Mathematics, Achieved.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the West African Senior School Certificate Examination (WASSCE) from Nigeria.
If you are studying for Norwegian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Norway.
UK requirement (A-level) | Vitnemal for Videregående Oppleaering (VVO) / Vitnemål fra den Videregående Skole equivalent |
---|---|
A*AA | VVO (with generell studiekompetanse) with 5.0 overall |
AAA | VVO (with generell studiekompetanse) with 4.5 overall |
AAB | VVO (with generell studiekompetanse) with 4.5 overall |
ABB | VVO (with generell studiekompetanse) with 4.0 overall |
BBB | VVO (with generell studiekompetanse) with 4.0 overall |
BBC | VVO (with generell studiekompetanse) with 3.5 overall |
BCC | VVO (with generell studiekompetanse) with 3.0 overall |
CCC | VVO (with generell studiekompetanse) with 2.5 overall |
CCD | VVO (with generell studiekompetanse) with 2.0 overall |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Vitnemal for Videregående Oppleaering (VVO) / Vitnemål fra den Videregående Skole equivalent |
---|---|
Grade A | 4.5 |
Grade B | 4.0 |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Vitnemal for Videregående Oppleaering (VVO) / Vitnemål fra den Videregående Skole, English 4.
Mathematics:
GCSE C Grade equivalent | Vitnemal for Videregående Oppleaering (VVO) /Vitnemål fra den Videregående Skole/ Vitnemal for Grunnskolen 2 (Pass) |
---|---|
GCSE B Grade equivalent | Vitnemal for Videregående Oppleaering (VVO) / Vitnemål fra den Videregående Skole/ Vitnemal for Grunnskolen 2.5 (Pass) |
GCSE A Grade equivalent | Vitnemal for Videregående Oppleaering (VVO) / Vitnemål fra den Videregående Skole/ Vitnemal for Grunnskolen 2.5 (Pass) |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept school leaving qualifications from Oman.
We consider a range of high school qualifications for entry onto our undergraduate courses.
We consider a range of high school qualifications for entry onto our undergraduate courses.
We consider a range of high school qualifications for entry onto our undergraduate courses.
Take a look at country-specific information for certain countries in the Middle East.
We consider a range of high school qualifications for entry onto our undergraduate courses.
If you are a student from Brazil then take a look at the country-specific entry requirements.
We consider a range of high school qualifications for entry onto our undergraduate courses.
Take a look at country-specific information for certain countries in South Asia.
We consider a range of high school qualifications for entry onto our undergraduate courses.
Take a look at country-specific information for certain countries in South East Asia.
We do not accept the Intermediate/Higher Secondary Certificate from Pakistan.
If you are studying for Polish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Poland.
UK requirement (A-level) | Świadectwo Dojrzałości equivalent |
---|---|
A*AA | 90 per cent in all written standard level subjects including three extended level subjects, each at 90 per cent. |
AAA | 90 per cent in all written standard level subjects including three extended level subjects, each at 85 per cent. |
AAB | 85 per cent in all written standard level subjects, including three extended level subjects, each at 80 per cent. |
ABB | 80 per cent in all written standard level subjects, including three extended level subjects, each at 75 per cent. |
BBB | 75 per cent in all written standard level subjects, including three extended level subjects, each at 70 per cent. |
BBC | 70 per cent in all written standard level subjects, including three extended level subjects, each at 65 per cent. |
BCC | 70 per cent in all written standard level subjects, including three extended level subjects, each at 60 per cent. |
CCC | 60 per cent in all written standard level subjects, including three extended level subjects, each at 60 per cent. |
CCD | 60 per cent in all written standard level subjects, including three extended level subjects, each at 55 per cent. |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Świadectwo Dojrzałości/Matura equivalent |
---|---|
Grade A | 80 per cent at extended level. |
Grade B | 70 per cent at extended level. |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics:
Grade C | *Świadectwo Dojrzałości*/*Matura*, 30% |
Grade B | *Świadectwo Dojrzałości /*Matura*, 30% |
Grade A | *Świadectwo Dojrzałości*/*Matura*, 40% |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Portuguese qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Portugal.
UK requirement (A-level) | Certificado de fim de Estudos Secundários / Diploma Nivel Secundaro de Educacao / Certificado Nivel Secundaro de Educacao / Diploma de Ensino Secundario / Certidao do Decimo Segundo Ano / Certificado de Habilitacoes do Ensino Secundario equivalent |
---|---|
AAA | 17< |
AAB | 16.5 |
ABB | 16 |
BBB | 15.5 |
BBC | 15 |
BCC | 14.5 |
CCC | 14 |
CCD | 13.5 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Certificado de fim de Estudos Secundários / Diploma Nivel Secundaro de Educacao / Certificado Nivel Secundaro de Educacao / Diploma de Ensino Secundario / Certidao do Decimo Segundo Ano / Certificado de Habilitacoes do Ensino Secundario equivalent |
---|---|
Grade A | 17 |
Grade B | 16 |
Where maths is a required subject at A-level, applicants will be required to achieve Certifcado de fim de Estudos Secundarios maths at 17 for A-level Grade A, 16 for Grade B and 15 for Grade C.
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: IELTS Academic required
Mathematics:
Grade C | *Certificado de fim de Estudos Secundários* 10 |
Grade B | *Certificado de fim de Estudos Secundários* 11 |
Grade A | *Certificado de fim de Estudos Secundários* 12 |
If maths does not appear in the final Certifcado de fim de Estudos Secundarios (or other named qualifications above) or if the above grades were not met, we can accept maths in the Y9 high school transcript at the following grades:
GCSE C | 3/5 |
GCSE B | 4/5 |
GCSE A | 5/5 |
We do not accept Qatar school leaving qualifications.
If you are studying for Romanian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Romania.
UK requirement (A-level) | Diplomă de Bacalaureat equivalent |
---|---|
A*AA | 9.3 overall |
AAA | 9.0 overall |
AAB | 8.5 overall |
ABB | 8.0 overall |
BBB | 8.0 overall |
BBC | 7.5 overall |
BCC | 6.0 overall |
CCC | 6.5 overall |
CCD | 6.0 overall |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Diplomă de Bacalaureat equivalent |
---|---|
Grade A | 9.0 |
Grade B | 8.0 |
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: IELTS Academic required
Mathematics:
Grade C |
|
Grade B |
|
Grade A |
|
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the Certificate of Secondary (Complete) General Education.
We do not accept the Tawjihiyah (General Secondary Education Certificate).
If you are studying for Singaporean qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Singapore.
UK requirement (A-level) | Singapore/Cambridge A-levels (H2) equivalent |
---|---|
AAA | AAB |
AAB | ABB |
ABB | BBB |
BBB | BBC |
BBC | BCC |
BCC | CCC |
CCC | CCD |
UK requirement (A-level) | Singapore Polytechnic Diploma equivalent |
---|---|
A*AA | GPA of 3.2 |
AAA | GPA of 3.1 |
AAB | GPA of 3.0 |
ABB | GPA of 2.9 |
BBB | GPA of 2.8 |
BBC | GPA of 2.7 |
BCC | GPA of 2.6 |
CCC | GPA of 2.5 |
Suitably qualified applicants can be considered for Year 2 entry. Please refer enquiries to international@surrey.ac.uk.
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Singapore/Cambridge A-levels (H2) equivalent |
---|---|
Grade A | A |
Grade B | B |
Minimum standard in English and Mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and Mathematics.
English: Singapore/Cambridge O-level English at grade C. The Singapore Integrated Programme satisfies the English requirement.
Mathematics: Singapore/Cambridge O-level mathematics at grade C. The Singapore Integrated Programme satisfies the mathematics requirement.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Slovakian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Slovakia.
UK requirement (A-level) | Maturitná skúška equivalent |
---|---|
A*AA | 1.0 |
AAA | 1.5 |
AAB | 1.5 |
ABB | 2.0 |
BBB | 2.0 |
BBC | 2.2 |
BCC | 2.4 |
CCC | 2.6 |
CCD | 2.8 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Maturitná skúška equivalent |
---|---|
Grade A | 1.5 |
Grade B | 2.0 |
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: IELTS Academic required
Mathematics:
GCSE C Grade equivalent | Maturitná skúška 4 (Dostatocny) |
GCSE B Grade equivalent | Maturitná skúška 3 (Dobry) |
GCSE A Grade equivalent | Maturitná skúška 3 (Dobry) |
Alternatively, where mathematics is not studied as part of the Maturitná skúška, we will accept mathematics in the Y11 or Y12 high school transcript at the same grades outlined above.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Slovenian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Slovenia.
UK requirement (A-level) | Matura Spricevalo equivalent |
---|---|
AAA | 25 points overall |
AAB | 24 points overall |
ABB | 23 points overall |
BBB | 22 points overall |
BBC | 21 points overall |
BCC | 20 points overall |
CCC | 19 points overall |
CCD | 18 points overall |
Subject requirements
For courses that have specific subject requirements at A-level.
Subjects that ask specifically for mathematics or require English A-Level (English Literature BA or English Literature with Creative Writing BA):
UK subject requirement (A-level) | Matura equivalent |
---|---|
Grade A | 7 at higher level |
Grade B | 6 at higher level |
For all other required subjects and where mathematics is a second science:
UK subject requirement (A-level) | Matura equivalent |
---|---|
Grade A | 5 at standard level |
Grade B | 4 at standard level |
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: IELTS Academic required
Mathematics:
Grade C | Matura Spricevalo 2.0 |
Grade B | Matura Spricevalo 2.0 |
Grade A | Matura Spricevalo 3.0 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for South African qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for South Africa.
UK requirement (A-level) | Senior Certificate (with matriculation endorsement) |
---|---|
AAA | 77666 |
AAB | 76666 |
ABB | 76666 |
BBB | 66666 |
BBC | 66655 |
BCC | 66555 |
CCC | 55555 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Senior Certificate (with matriculation endorsement) equivalent |
---|---|
Grade A | 7 |
Grade B | 6 |
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: Senior Certificate (with matriculation endorsement), English 5.
Mathematics: Senior Certificate (with matriculation endorsement), Mathematical Literacy 5 or Maths 4.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the High School Diploma.
If you are studying for Spanish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Spain.
UK requirement (A-level) | Título de Bachillerato equivalent |
---|---|
A*AA | 9.0 overall |
AAA | 8.5 overall |
AAB | 8.0 overall |
ABB | 7.8 overall |
BBB | 7.5 overall |
BBC | 7.3 overall |
BCC | 7.0 overall |
CCC | 6.5 overall |
CCD | 6.0 overall |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Título de Bachillerato equivalent |
---|---|
Grade A | 9.0 |
Grade B | 8.0 |
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: IELTS required
Mathematics:
GCSE C Grade equivalent | Graduado en Educacion Secundaria (GES) 5 / Titulo de Bachillerato 5 |
GCSE B Grade equivalent | Graduado en Educacion Secundaria (GES) 6 / Titulo de Bachillerato 5 |
GCSE A Grade equivalent | Graduado en Educacion Secundaria (GES) 7/ Titulo de Bachillerato 6 |
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Sri Lankan qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Sri Lanka:
UK requirement (A-level) | Sri Lankan General Certificate of Education (Advanced level) equivalent |
---|---|
A*AA | AAA |
AAA | AAA |
AAB | AAB |
ABB | ABB |
BBB | BBB |
BBC | BBC |
BCC | BCC |
CCC | CCC |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Sri Lankan General Certificate of Education (Advanced level) equivalent |
---|---|
Grade A | A |
Grade B | B |
Minimum standard in English and mathematics
All applicants for undergraduate courses must also meet a minimum standard in English and mathematics.
English: Cambridge O-level, English at grade C
Mathematics: Cambridge/Sri Lankan O-level, mathematics at grade C
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Swedish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Sweden.
UK requirement (A-level) | Avgångsbetyg/Slutbetyg från Gymnasieskola/Högskoleförberedande examen equivalent |
---|---|
AAA | A grades in the majority of subjects (18.5 points) |
AAB | A and B grades in the majority of subjects (18 points) |
ABB | B grades in the majority of subjects (17.5 points) |
BBB | B grades in the majority of subjects (17 points) |
BBC | B grades in the majority of subjects (16.5 points) |
BCC | B and C grades in the majority of subjects (15.5 points) |
CCC | B and C grades in the majority of subjects (14.5 points) |
CCD | C grades in the majority of subjects (13.5 points) |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Avgångsbetyg / Slutbetyg från Gymnasieskola examen equivalent |
---|---|
Grade A | A |
Grade B | B |
Grade C | C |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
GCSE English:
Courses requiring GCSE English Language C (4) or B (5) - English 6 grade C or English 5 grade B in one of the following qualifications:
Avgångsbetyg
Slutbetyg från Gymnasieskola
Slutbetyg fran Grundskola
Courses requiring GCSE English Language Grade A / 7 – English 6 at Grade B in one of the following qualifications:
Avgångsbetyg
Slutbetyg från Gymnasieskola
Slutbetyg fran Grundskola
GCSE Mathematics
Courses requiring GCSE Mathematics Grade C (4) or B (5) – Maths at Grade E in one of the following qualifications:
Avgångsbetyg
Slutbetyg från Gymnasieskola
Slutbetyg fran Grundskola
Courses requiring GCSE Mathematics Grade A / 7 – Maths at Grade D in one of the following qualifications
Avgångsbetyg
Slutbetyg från Gymnasieskola
Slutbetyg fran Grundskola
If you are studying for Swiss qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Switzerland.
UK requirement (A-level) | French speaking - Certificat de Maturite / Certificat de Maturie Catonal reconnu par la Confederatio German speaking - Katonales Maturitatszeugnis / Maturitat Italian speaking - Attestato di Maturita / Attestato di Maturita Cantonale Riconosciuto dalla Confederzione |
---|---|
AAA | Any of the above Matura qualifications with 5.0 overall |
AAB | Any of the above Matura qualifications with 5.0 overall |
ABB | Any of the above Matura qualifications with 4.8 overall |
BBB | Any of the above Matura qualifications with 4.5 overall |
BBC | Any of the above Matura qualifications with 4.4 overall |
BCC | Any of the above Matura qualifications with 4.3 overall |
CCC | Any of the above Matura qualifications with 4.2 overall |
CCD | Any of the above Matura qualifications with 4.1 overall |
Subject equivalent
- Grade A: Matura 5.0
- Grade B: Matura 4.5
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and Mathematics.
English and Mathematics:
GCSE C Grade equivalent | Certificat de Maturité / Kantonales Maturitätszeugnis / Maturität - 4.0 |
GCSE B Grade equivalent | Certificat de Maturité / Kantonales Maturitätszeugnis / Maturität - 4.1 |
GCSE A Grade equivalent | Certificat de Maturité / Kantonales Maturitätszeugnis / Maturität - 4.2 |
For the minimum standard for GCSE Mathematics only we can also accept:
- GCSE C Grade equivalent Certificat de Culture Generale - 4.0
- GCSE B Grade equivalent Certificat de Culture Generale - 4.1
- GCSE A Grade equivalent Certificat de Culture Generale - 4.2
If you studied the Certificat de Culture Generale then we may need an IELTS or equivalent to meet our minimum standards for English Language.
We do not accept the Senior High School Leaving Certificate.
If you are studying for Tanzanian qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Tanzania.
UK requirement (A-level) | Advanced Certificate of Secondary Education (ACSE) |
---|---|
AAA | AAA |
ABB | ABB |
BBB | BBB |
CCC | CCC |
Minimum standard in English and mathematics
- English Language: Certificate of Secondary Education (CSE) at grade C.
- Mathematics: Certificate of Secondary Education (CSE) at grade C.
We do not accept the Senior High School Leaving Certificate.
If you are studying for Turkish qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Turkiye.
UK requirement (A-level) | Devlet Lise Diplomasi/Lise Bitirme Diplomasi equivalent |
---|---|
A*AA | 85% |
AAA | 80% |
AAB | 75% |
ABB | 70% |
BBB | 70% |
BBC | Lise Diplomasi with 65% in the final year |
BCC | Lise Diplomasi with 60% in the final year |
CCC | Lise Diplomasi with 55% in the final year |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Devlet Lise Diplomasi/Lise Bitirme Diplomasi equivalent |
---|---|
Grade A | 80% |
Grade B | 70% |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: IELTS Academic required.
Mathematics: Lise Bitirme Diplomasi Mathematics, 3, or 55% in Grade 10 or above.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
If you are studying for Ugandan qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. The table below shows grade equivalencies for Uganda.
UK requirement (A-level) | Advanced Certificate of Secondary Education (UACE) |
---|---|
AAA | AAA |
ABB | ABB |
BBB | BBB |
BBC | BBC |
CCC | CCC |
CCD | CCD |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Ugandan Advanced Certificate of Education (UACE) equivalent |
---|---|
Grade A | A |
Grade B | B |
Minimum standard in English and mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and mathematics.
English: Uganda Certificate of Education (UCE), 6.
Mathematics: East African Certificate of Education (EACE), Mathematics 6, or, Uganda Certificate of Education (UCE), 6.
Some courses may require higher grades in English and mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept Ukrainian school leaving qualifications.
We do not accept school leaving qualifications.
If you are studying for American qualifications, you will need a suitable equivalent grade to apply for our undergraduate courses. We are able to consider a combination of any three test scores at the appropriate level (e.g. 2 APs and 1 SAT Subject Test). Honours and College level class content can also be reviewed on case-by-case basis by our Admissions Team.
The table below shows grade equivalencies for the United States of America.
UK requirement (A-level) | Advanced Placement (AP) equivalent |
---|---|
A*AA | 555 |
AAA | 555 |
AAB | 554 |
ABB | 544 |
BBB | 444 |
BBC | 443 |
BCC | 433 |
CCC | 333 |
UK requirement (A-level) | SAT equivalent |
---|---|
A*AA | 1350 in SAT Reasoning (combined) and 700 in three SAT Subject Tests* (each) |
AAA | 1350 in SAT Reasoning (combined) and 700 in three SAT Subject Tests* (each) |
AAB | 1320 in SAT Reasoning (combined) and 700 in three SAT Subject Tests* (each) |
ABB | 1290 in SAT Reasoning (combined) and 650 in three SAT Subject Tests* (each) |
BBB | 1290 in the SAT Evidence-based Reading and Writing, and Mathematics Tests (combined) and 650 in three SAT Subject Tests* (each) |
BBC | 1290 in SAT Reasoning (combined) and 600 in three SAT Subject Tests* (each) |
BCC | 1290 in SAT Reasoning (combined) and 550 in three SAT Subject Tests* (each) |
CCC | 1290 in SAT Reasoning (combined) and 500 in three SAT Subject Tests* (each) |
*Please see the latest update from the College Board regarding SAT Subject Tests.
UK requirement (A-level) | American College Testing (ACT) equivalent |
---|---|
A*AA | 29 (from a single exam sitting) |
AAA | 29 (from a single exam sitting) |
AAB | 29 (from a single exam sitting) |
ABB | 28 (from a single exam sitting) |
BBB | 28 (from a single exam sitting) |
BBC | 28 (from a single exam sitting) |
BCC | 28 (from a single exam sitting) |
CCC | 27 (from a single exam sitting) |
UK requirement (A-level) | Associate degree equivalent |
---|---|
A*AA | 3.3 |
AAA | 3.3 |
AAB | 3.3 |
ABB | 3.2 |
BBB | 3.2 |
BBC | 3.2 |
BCC | 3.2 |
CCC | 3.1 |
Subject requirements
For courses that have specific subject requirements at A-level:
UK subject requirement (A-level) | Advanced Placement (AP) equivalent | SAT Subject Test |
---|---|---|
Grade A | 5 | 700 |
Grade B | 4 | 650 |
Minimum standard in English and Mathematics
If you are applying for an undergraduate course at Surrey, you must meet our minimum standards for English and Mathematics.
English: Grade 12 High School Diploma, English C.
Mathematics: Grade 12 High School Diploma, Mathematics C.
Alternatively, an overall SAT score of 1290/1600 (critical reading, writing and mathematics) with a minimum of 600 in each component.
Some courses may require higher grades in English and Mathematics and/or additional subjects, so please check the requirements provided on individual course pages.
We do not accept the Upper Secondary School Graduation Diploma.
Please refer to the entry requirements for the country where your High School qualifications originate from, or the relevant UK qualifications on the course page. For information on entry requirements based on an International Foundation Year, please contact the admissions team with details about where you are taking your International Foundation Year, and the content you are studying.
We do not accept school leaving qualifications from Algeria.
We do not accept school leaving qualifications.
We do not accept the Zimbabwe General Certificate of Education at Ordinary level.
We do not accept school leaving qualifications from Morocco.
English language requirements
IELTS Academic: 6.0 overall with 5.5 in each element.
View the other English language qualifications that we accept.
If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here.
International Foundation Year
If you are an international student and you don’t meet the entry requirements for this degree, we offer the International Foundation Year at the Surrey International Study Centre. Upon successful completion, you can progress to this degree course.
Selection process
We normally make offers in terms of grades.
If you are a suitable candidate you will be invited to an offer holder event. During your visit to the University you can find out more about the course and meet staff and students.
Recognition of prior learning
We recognise that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts.
If this applies to you, the recognition of prior learning (RPL) process may allow you to join a course without the formal entry requirements or enter your course at a point appropriate to your previous learning and experience.
There are restrictions on RPL for some courses and fees may be payable for certain claims. Please see the code of practice for recognition of prior learning and prior credit: taught programmes (PDF) for further information.
Contextual offers
Did you know eligible students receive support through their application to Surrey, which could include a grade reduction on offer?
Fees
Explore UKCISA’s website for more information if you are unsure whether you are a UK or overseas student. View the list of fees for all undergraduate courses.
Payment schedule
- Students with Tuition Fee Loan: the Student Loans Company pay fees in line with their schedule.
- Students without a Tuition Fee Loan: pay their fees either in full at the beginning of the programme or in two instalments as follows:
- 50% payable 10 days after the invoice date (expected to be early October of each academic year)
- 50% in January of the same academic year.
The exact date(s) will be on invoices. Students on part-time programmes where fees are paid on a modular basis, cannot pay fees by instalment.
- Sponsored students: must provide us with valid sponsorship information that covers the period of study.
Professional training placement fees
If you are studying on a programme which contains a Professional Training placement year there will be a reduced fee for the academic year in which you undertake your placement. This is normally confirmed 12 to 18 months in advance, or once Government policy is determined.
Additional costs
Commuting (local travel expenses): Unable to specify amount – some travel costs for commuting to schools as part of the STEM Education and Public Engagement module.
These additional costs are accurate as of September 2023 and apply to the 2024 year of entry. Costs for 2025 entry will be published in September 2024.
Our award-winning Professional Training placement scheme gives you the chance to spend a year in industry, either in the UK or abroad.
We have thousands of placement providers to choose from, most of which offer pay. So, become one of our many students who have had their lives and career choices transformed.
Mathematics and physics placements
Our award-winning Professional Training placements take place between Years 2 and 3.
Physicists and mathematicians are in demand in many areas of business and industry, and the work students carry out on placement reflects this breadth. This varies from operational research or computer programming in insurance or banking, to analysing clinical trials or solving heat transfer and aerodynamic problems encountered in the atomic energy and aerospace fields.
Over the past few years, we’ve placed students with many big-name companies and organisations both in the UK and abroad, these include:
- AXA Actuarial
- Culham Science Centre for Nuclear Fusion
- Deloitte and Touche
- Department of Transport
- GlaxoSmithKline
- HM Customs and Excise
- Intel
- Lloyds
- NHS
- Royal Sun Alliance.
Applying for placements
Students are generally not placed by the University. But we offer support and guidance throughout the process, with access to a vacancy site of placement opportunities.
Find out more about the application process.
Rory's placement at IBM and Wimbledon
Mathematics student, Rory, spent his Professional Training placement at IBM in Hursley, but also went with the team to Wimbledon.
Rory's placement at IBM and Wimbledon
Mathematics student, Rory, spent his Professional Training placement at IBM in Hursley, but also went with the team to Wimbledon.
Study and work abroad
Studying at Surrey opens a world of opportunity. Take advantage of our study and work abroad partnerships, explore the world, and expand your skills for the graduate job market.
The opportunities abroad vary depending on the course, but options include study exchanges, work/research placements, summer programmes, and recent graduate internships. Financial support is available through various grants and bursaries, as well as Student Finance.
Perhaps you would like to volunteer in India or learn about Brazilian business and culture in São Paulo during your summer holidays? With 140+ opportunities in 36+ different countries worldwide, there is something for everyone.
Partner institutions
In your second year, you can spend time abroad at one of our partner universities. Students have studied in:
- America
- Australia
- Canada
- Germany
- Malaysia
- New Zealand
- Singapore
- South Korea.
Find out more about our international partner institutions.
Apply for your chosen course online through UCAS, with the following course and institution codes.