- Mathematics
BSc (Hons) or MMath — 2025 entry Mathematics
Our BSc or MMath Mathematics degree are designed to provide you with a solid foundation in mathematical theory, problem-solving skills, and the ability to apply mathematical concepts to various fields.
Why choose
this course?
- Mathematics forms the basis of many aspects of modern life and has applications across the sciences, technology, finance and management.
- You’ll develop transferable skills such as creative problem-solving and logical reasoning, which are in great demand in a wide range of career sectors.
- As a mathematics undergraduate at Surrey, you’ll be part of a vibrant and friendly community. You’ll benefit from a personal tutor, small group teaching, and a lively, research-active learning environment.
- You can also take part in our award-winning Professional Training placements scheme, which prepare students for roles in various sectors. And you can get involved in research through a summer internship within our School of Mathematics and Physics.
Statistics
93%
Of our mathematics students go on to employment or further study (Graduate Outcomes 2023, HESA)
4th in the UK
The University of Surrey is ranked 4th for overall student satisfaction* in the National Student Survey 2023
13th in the UK
The University of Surrey is ranked 13th in the Complete University Guide 2024
*Measured by % positivity based on Q1-24 for all institutions listed in the Guardian University Guide league tables
Accreditation
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What you will study
Our BSc and MMath Mathematics courses help you build on your existing knowledge and gain a strong foundation across the fundamentals of mathematics.
You can choose to study for a BSc or opt for our MMath. The latter is a direct route to a masters qualification, known as an integrated masters, and enables you to delve deeper into advanced mathematics. It also provides a good foundation for further study at postgraduate level.
In your first year, you will develop your fundamental mathematical knowledge and problem-solving skills by studying a range of mathematics. You will also learn mathematical programming using Python and have training in professional skills, such as effective teamwork and technical report writing.
In your second year you’ll get to choose some of your modules, and in your third year, what you study is entirely your choice. Available modules in third year include Riemannian geometry, mathematical theory of data science, quantum mechanics, and mathematical ecology and epidemiology.
Professional recognition
BSc (Hons) - Institute of Mathematics and its Applications (IMA)
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
MMath - Institute of Mathematics and its Applications (IMA)
This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications.
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 BSc (Hons)
- Mathematics BSc (Hons) with foundation year
- Mathematics BSc (Hons) with placement
- Mathematics BSc (Hons) with foundation year and placement
- Mathematics MMath
- Mathematics MMath 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
Modules listed are indicative, reflecting the information available at the time of publication. Modules are subject to teaching availability, student demand and/or class size caps.
The University operates a credit framework for all taught programmes based on a 15-credit tariff.
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 is an introduction to analysis, which is the branch of mathematics that rigorously studies functions, continuity and limit processes, such as differentiation and integration. The module leads, among other things, to a deeper understanding of what it means for a sequence or series to converge. Tools such as convergence tests are presented and their validity proved, and the rigorous use of definitions and logic play a central role. This course lays the foundations for the Level 5 module in Real Analysis 2 (MAT2004) in particular, and, more generally, underpins other modules where a culture of rigorous proof exists.
View full module detailsProbability is a numerical description of random events, and statistics is the science of collecting and analysing data from these random events and modelling them with random variables. Students will be introduced to the basic concepts of probability distributions, hypothesis testing and random variables. These concepts are fundamental in probability and statistics and lay the foundations for Level 5 Mathematical Statistics (MAT2013), Linear Statistical Methods (MAT2053) and Stochastic Processes (MAT2003). Students will also be introduced to programming in the statistical software R, and thus gain employability through enhancing their digital capabilities.
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 detailsMuch of the way that mathematicians model the physical world today relies on the mathematical framework set out by Newton in the 17th century. In this module, we take as our starting point Newton’s laws of motion and examine how they may be applied to study the dynamics of particles and mechanical systems. This module provides a foundation for MAT3008 Lagrangian and Hamiltonian Dynamics.
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 detailsThis module introduces students to Multivariable Calculus in two and three dimensions, and selected topics such as differential operators and line integrals in Vector Calculus. This extends students’ knowledge developed in MAT1030 Calculus on differentiation and integration of single variable functions to partial differentiation, and double and triple integration of two and three-variable functions. This module provides the necessary ground work for modules such as MAT2047 Curves and Surfaces, MAT2050 Inviscid Fluid Dynamics, and MAT2054 Functions of a Complex Variable.
View full module detailsYear 2 - BSc (Hons)
Semester 1
Compulsory
Analysis is the branch of mathematics that rigorously studies functions, continuity, differentiability and integration. This module builds on Level 4 Real Analysis 1 (MAT1032) by studying these concepts in a more formal way and hence provides a deeper understanding of these concepts.
View full module detailsThis 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 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 detailsOptional
This module introduces a variety of commonly used techniques from Operations Research. The module leads to a deeper understanding of linear programming problems and the theory that underpins their solving. Tools such as the Simplex Method are presented and an introduction to nonlinear optimisation methods is also provided. This module supports and complements other modules where optimisation and constrained optimisation are considered.
View full module detailsStatistics is the science of collecting and analysing data from random events and modelling them using random variables. This module first recaps the properties of a single random variable as seen in Level 4 Probability and Statistics (MAT1033), then builds on this by considering multiple random variables simultaneously. This module also covers the transformation of random variables, as well as applications such as tail probabilities and limit theorems.
View full module detailsThe module provides an introduction to the theory and properties of curves and surfaces in Euclidean space. Basic concepts and tools from a branch of mathematics known as differential geometry are used to study curves and surfaces, and to understand their geometric properties. This module builds on material from MAT1043 Multivariable Calculus and MAT1034 Linear Algebra. The module is recommended for students intending to select the Year 3 modules MAT3009 Manifolds and Topology, and MAT3044 Riemannian Geometry, although it is not a pre-requisite for either module.
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 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 detailsOptional
Stochastic processes are a series of random variables. Students will be introduced to both Markov Chains and continuous Markov stochastic processes, where the distributions of future random variables are determined by the value of the most recent random variable. These models are important for modelling things which change over time, such as voting intention or population size.
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 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 detailsStatistical modelling provides a means of extracting information from data, enabling informed decisions to be made. It is a versatile and powerful tool with widespread applications contributing to advancements in research, business, technology, and society. Students will be introduced to the basic concepts of statistical modelling via linear regression models, which are fundamental in statistics and serve as the basis for more complex modelling techniques. Model fitting, selection and evaluation are covered for: Simple Linear Regression; polynomial regression and multiple regression models. The module concludes with the introduction of simple models in the Design of Experiments, covering the use of such experiments and the analysis of data arising from them. The statistical software R is fully integrated with the module. Students will reinforce their understanding of concepts of statistical modelling and develop their digital capabilities by using R to conduct analyses of real data sets from business, science and industry.
View full module detailsYear 3 - BSc (Hons)
Semester 1
Optional
The module introduces the subject of (infinite dimensional) function spaces and shows how they are structured by metric, norm or inner product. The course naturally extends ideas contained in Real Analysis 1 and 2, and it sets in a wider context the orthogonal decompositions seen in the Fourier analysis part of MAT2011: Linear PDEs.
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 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 detailsUnder 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 detailsBayesian Statistics is the branch of statistics that relies on subjective probability to create a wide range of statistical models. This module introduces Bayesian methodology and guides students to use prior to posterior analysis for modelling realistic problems. This module then tackles more difficult topics such as Bayesian point estimates, model selection and linear regression.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
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 detailsSemester 2
Optional
This 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 detailsRiemannian geometry is the study of geometric properties of spaces, called manifolds, typically in higher dimensions, which are described smoothly by sets of well-defined co-ordinates. The emphasis is on how mathematically to understand the notion of distance via a metric on such spaces, and how this is used to investigate key associated geometric concepts. Students are introduced to the key concepts of manifolds and metrics, with illustrative examples such as spheres, hyperbolic spaces and Lie groups. The module continues with geodesics, isometries, covariant derivatives, the Levi Civita connection, and concludes with curvature and its properties. Modules in Curves and Surfaces and in Manifolds and Topology contain related material.
View full module detailsUnder 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 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 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 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 detailsTime series are a collection of observations taken over time. This covers a great deal of situations such as stock markets, rainfall or even goals scored by a sports team. Features of the time series will lead to an appropriate choice of model. These models will be validated, and then can be used to forecast the future. Despite the modest pre-requisites of Level 4 Probability and Statistics (MAT1033), students will gain resourcefulness and resilience through learning mathematical proofs as well as gain digital capabilities through using R to conduct analyses of data sets and writing a report.
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 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 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 detailsOptional
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 aims to introduce the students to the core elements of microeconomic theory. The module will begin with a discussion of Economics as a science and its basic principles and concepts. The focus will then move onto the market equilibrium, i.e., the supply and demand model and the impact of government intervention in the market outcomes. Consumer theory and the theory of the firm will be studied to understand the background to the supply and demand model before turning to the welfare implications of different market structures.
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 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 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 detailsOptional
The module covers the principles of chemistry relevant to degree-level study in disciplines requiring a strong background in this subject, (e.g. the BEng in both the Chemical and Civil Engineering programmes at the University of Surrey). There will be a strong focus placed on the fundamental principles of physical chemistry, with a basic introduction to organic and analytical chemistry techniques. Learning will include examples of industrial processes and case studies and there will be an overarching theme of sustainability running through the module linked to several topics (in particular, fuels, combustion and polymers). Module content will be delivered via weekly lectures, interspersed with opportunities for you to reflect on what you have just learned. Additional support is provided in weekly tutorials. There are 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 detailsIn this module the students will learn about the macroeconomic environment and the theoretical and conceptual frameworks which underpin it. It is designed to prepare the students for the more advanced level macroeconomics in the first year of their Economics programme. The module will begin with the introduction of key macroeconomic topics, i.e., economic growth and business cycles, unemployment, inflation and open economy. The focus will then move onto developing a theoretical model to study and analyse the short-run macroeconomic equilibrium. The role of fiscal and monetary policy in shaping economic outcomes will also be discussed. The methodological approach will include the use of mathematical tools in solving and analysing the theoretical models.
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 is an introduction to analysis, which is the branch of mathematics that rigorously studies functions, continuity and limit processes, such as differentiation and integration. The module leads, among other things, to a deeper understanding of what it means for a sequence or series to converge. Tools such as convergence tests are presented and their validity proved, and the rigorous use of definitions and logic play a central role. This course lays the foundations for the Level 5 module in Real Analysis 2 (MAT2004) in particular, and, more generally, underpins other modules where a culture of rigorous proof exists.
View full module detailsProbability is a numerical description of random events, and statistics is the science of collecting and analysing data from these random events and modelling them with random variables. Students will be introduced to the basic concepts of probability distributions, hypothesis testing and random variables. These concepts are fundamental in probability and statistics and lay the foundations for Level 5 Mathematical Statistics (MAT2013), Linear Statistical Methods (MAT2053) and Stochastic Processes (MAT2003). Students will also be introduced to programming in the statistical software R, and thus gain employability through enhancing their digital capabilities.
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 detailsMuch of the way that mathematicians model the physical world today relies on the mathematical framework set out by Newton in the 17th century. In this module, we take as our starting point Newton’s laws of motion and examine how they may be applied to study the dynamics of particles and mechanical systems. This module provides a foundation for MAT3008 Lagrangian and Hamiltonian Dynamics.
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 detailsThis module introduces students to Multivariable Calculus in two and three dimensions, and selected topics such as differential operators and line integrals in Vector Calculus. This extends students’ knowledge developed in MAT1030 Calculus on differentiation and integration of single variable functions to partial differentiation, and double and triple integration of two and three-variable functions. This module provides the necessary ground work for modules such as MAT2047 Curves and Surfaces, MAT2050 Inviscid Fluid Dynamics, and MAT2054 Functions of a Complex Variable.
View full module detailsYear 2 - BSc (Hons) with placement
Semester 1
Compulsory
Analysis is the branch of mathematics that rigorously studies functions, continuity, differentiability and integration. This module builds on Level 4 Real Analysis 1 (MAT1032) by studying these concepts in a more formal way and hence provides a deeper understanding of these concepts.
View full module detailsThis 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 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 detailsOptional
This module introduces a variety of commonly used techniques from Operations Research. The module leads to a deeper understanding of linear programming problems and the theory that underpins their solving. Tools such as the Simplex Method are presented and an introduction to nonlinear optimisation methods is also provided. This module supports and complements other modules where optimisation and constrained optimisation are considered.
View full module detailsStatistics is the science of collecting and analysing data from random events and modelling them using random variables. This module first recaps the properties of a single random variable as seen in Level 4 Probability and Statistics (MAT1033), then builds on this by considering multiple random variables simultaneously. This module also covers the transformation of random variables, as well as applications such as tail probabilities and limit theorems.
View full module detailsThe module provides an introduction to the theory and properties of curves and surfaces in Euclidean space. Basic concepts and tools from a branch of mathematics known as differential geometry are used to study curves and surfaces, and to understand their geometric properties. This module builds on material from MAT1043 Multivariable Calculus and MAT1034 Linear Algebra. The module is recommended for students intending to select the Year 3 modules MAT3009 Manifolds and Topology, and MAT3044 Riemannian Geometry, although it is not a pre-requisite for either module.
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 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 detailsOptional
Stochastic processes are a series of random variables. Students will be introduced to both Markov Chains and continuous Markov stochastic processes, where the distributions of future random variables are determined by the value of the most recent random variable. These models are important for modelling things which change over time, such as voting intention or population size.
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 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 detailsStatistical modelling provides a means of extracting information from data, enabling informed decisions to be made. It is a versatile and powerful tool with widespread applications contributing to advancements in research, business, technology, and society. Students will be introduced to the basic concepts of statistical modelling via linear regression models, which are fundamental in statistics and serve as the basis for more complex modelling techniques. Model fitting, selection and evaluation are covered for: Simple Linear Regression; polynomial regression and multiple regression models. The module concludes with the introduction of simple models in the Design of Experiments, covering the use of such experiments and the analysis of data arising from them. The statistical software R is fully integrated with the module. Students will reinforce their understanding of concepts of statistical modelling and develop their digital capabilities by using R to conduct analyses of real data sets from business, science and industry.
View full module detailsYear 3 - BSc (Hons) with placement
Semester 1
Optional
The module introduces the subject of (infinite dimensional) function spaces and shows how they are structured by metric, norm or inner product. The course naturally extends ideas contained in Real Analysis 1 and 2, and it sets in a wider context the orthogonal decompositions seen in the Fourier analysis part of MAT2011: Linear PDEs.
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 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 detailsUnder 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 detailsBayesian Statistics is the branch of statistics that relies on subjective probability to create a wide range of statistical models. This module introduces Bayesian methodology and guides students to use prior to posterior analysis for modelling realistic problems. This module then tackles more difficult topics such as Bayesian point estimates, model selection and linear regression.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
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 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 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 detailsRiemannian geometry is the study of geometric properties of spaces, called manifolds, typically in higher dimensions, which are described smoothly by sets of well-defined co-ordinates. The emphasis is on how mathematically to understand the notion of distance via a metric on such spaces, and how this is used to investigate key associated geometric concepts. Students are introduced to the key concepts of manifolds and metrics, with illustrative examples such as spheres, hyperbolic spaces and Lie groups. The module continues with geodesics, isometries, covariant derivatives, the Levi Civita connection, and concludes with curvature and its properties. Modules in Curves and Surfaces and in Manifolds and Topology contain related material.
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 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 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 detailsTime series are a collection of observations taken over time. This covers a great deal of situations such as stock markets, rainfall or even goals scored by a sports team. Features of the time series will lead to an appropriate choice of model. These models will be validated, and then can be used to forecast the future. Despite the modest pre-requisites of Level 4 Probability and Statistics (MAT1033), students will gain resourcefulness and resilience through learning mathematical proofs as well as gain digital capabilities through using R to conduct analyses of data sets and writing a report.
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 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 is an introduction to analysis, which is the branch of mathematics that rigorously studies functions, continuity and limit processes, such as differentiation and integration. The module leads, among other things, to a deeper understanding of what it means for a sequence or series to converge. Tools such as convergence tests are presented and their validity proved, and the rigorous use of definitions and logic play a central role. This course lays the foundations for the Level 5 module in Real Analysis 2 (MAT2004) in particular, and, more generally, underpins other modules where a culture of rigorous proof exists.
View full module detailsProbability is a numerical description of random events, and statistics is the science of collecting and analysing data from these random events and modelling them with random variables. Students will be introduced to the basic concepts of probability distributions, hypothesis testing and random variables. These concepts are fundamental in probability and statistics and lay the foundations for Level 5 Mathematical Statistics (MAT2013), Linear Statistical Methods (MAT2053) and Stochastic Processes (MAT2003). Students will also be introduced to programming in the statistical software R, and thus gain employability through enhancing their digital capabilities.
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 detailsMuch of the way that mathematicians model the physical world today relies on the mathematical framework set out by Newton in the 17th century. In this module, we take as our starting point Newton’s laws of motion and examine how they may be applied to study the dynamics of particles and mechanical systems. This module provides a foundation for MAT3008 Lagrangian and Hamiltonian Dynamics.
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 detailsThis module introduces students to Multivariable Calculus in two and three dimensions, and selected topics such as differential operators and line integrals in Vector Calculus. This extends students’ knowledge developed in MAT1030 Calculus on differentiation and integration of single variable functions to partial differentiation, and double and triple integration of two and three-variable functions. This module provides the necessary ground work for modules such as MAT2047 Curves and Surfaces, MAT2050 Inviscid Fluid Dynamics, and MAT2054 Functions of a Complex Variable.
View full module detailsYear 2 - MMath
Semester 1
Compulsory
Analysis is the branch of mathematics that rigorously studies functions, continuity, differentiability and integration. This module builds on Level 4 Real Analysis 1 (MAT1032) by studying these concepts in a more formal way and hence provides a deeper understanding of these concepts.
View full module detailsThis 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 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 detailsOptional
This module introduces a variety of commonly used techniques from Operations Research. The module leads to a deeper understanding of linear programming problems and the theory that underpins their solving. Tools such as the Simplex Method are presented and an introduction to nonlinear optimisation methods is also provided. This module supports and complements other modules where optimisation and constrained optimisation are considered.
View full module detailsStatistics is the science of collecting and analysing data from random events and modelling them using random variables. This module first recaps the properties of a single random variable as seen in Level 4 Probability and Statistics (MAT1033), then builds on this by considering multiple random variables simultaneously. This module also covers the transformation of random variables, as well as applications such as tail probabilities and limit theorems.
View full module detailsThe module provides an introduction to the theory and properties of curves and surfaces in Euclidean space. Basic concepts and tools from a branch of mathematics known as differential geometry are used to study curves and surfaces, and to understand their geometric properties. This module builds on material from MAT1043 Multivariable Calculus and MAT1034 Linear Algebra. The module is recommended for students intending to select the Year 3 modules MAT3009 Manifolds and Topology, and MAT3044 Riemannian Geometry, although it is not a pre-requisite for either module.
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 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 detailsOptional
Stochastic processes are a series of random variables. Students will be introduced to both Markov Chains and continuous Markov stochastic processes, where the distributions of future random variables are determined by the value of the most recent random variable. These models are important for modelling things which change over time, such as voting intention or population size.
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 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 detailsStatistical modelling provides a means of extracting information from data, enabling informed decisions to be made. It is a versatile and powerful tool with widespread applications contributing to advancements in research, business, technology, and society. Students will be introduced to the basic concepts of statistical modelling via linear regression models, which are fundamental in statistics and serve as the basis for more complex modelling techniques. Model fitting, selection and evaluation are covered for: Simple Linear Regression; polynomial regression and multiple regression models. The module concludes with the introduction of simple models in the Design of Experiments, covering the use of such experiments and the analysis of data arising from them. The statistical software R is fully integrated with the module. Students will reinforce their understanding of concepts of statistical modelling and develop their digital capabilities by using R to conduct analyses of real data sets from business, science and industry.
View full module detailsYear 3 - MMath
Semester 1
Optional
The module introduces the subject of (infinite dimensional) function spaces and shows how they are structured by metric, norm or inner product. The course naturally extends ideas contained in Real Analysis 1 and 2, and it sets in a wider context the orthogonal decompositions seen in the Fourier analysis part of MAT2011: Linear PDEs.
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 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 detailsMotivated by problems in meteorology and oceanography, this module applies a range of mathematical techniques to the characteristion of fluid flows. Geometry, vector calculus, differential equations, symmetry, dynamical systems theory, and analysis are all combined with fluid motion to produce a deeper understanding of atmosphere and ocean dynamics.
View full module detailsBayesian Statistics is the branch of statistics that relies on subjective probability to create a wide range of statistical models. This module introduces Bayesian methodology and guides students to use prior to posterior analysis for modelling realistic problems. This module then tackles more difficult topics such as Bayesian point estimates, model selection and linear regression.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
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 detailsSemester 2
Optional
This 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 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 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 detailsRiemannian geometry is the study of geometric properties of spaces, called manifolds, typically in higher dimensions, which are described smoothly by sets of well-defined co-ordinates. The emphasis is on how mathematically to understand the notion of distance via a metric on such spaces, and how this is used to investigate key associated geometric concepts. Students are introduced to the key concepts of manifolds and metrics, with illustrative examples such as spheres, hyperbolic spaces and Lie groups. The module continues with geodesics, isometries, covariant derivatives, the Levi Civita connection, and concludes with curvature and its properties. Modules in Curves and Surfaces and in Manifolds and Topology contain related material.
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 detailsPartial differential equations (PDEs) are used to model many physical, engineering and biological processes. Some of these systems exhibit exact analytical solutions, but in the majority of cases the PDEs cannot be solved by hand. In these cases we need to utilize computational techniques to form approximate solutions to these PDEs in order to allow understanding and interpretation of the PDE’s behaviour.
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 detailsTime series are a collection of observations taken over time. This covers a great deal of situations such as stock markets, rainfall or even goals scored by a sports team. Features of the time series will lead to an appropriate choice of model. These models will be validated, and then can be used to forecast the future. Despite the modest pre-requisites of Level 4 Probability and Statistics (MAT1033), students will gain resourcefulness and resilience through learning mathematical proofs as well as gain digital capabilities through using R to conduct analyses of data sets and writing a report.
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
Mathematical 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 is an introduction to classical and modern methods in the Calculus of Variations. Variational methods have many applications in Mathematics, Physics and Engineering. Examples will be included in the module to illustrate the theory of the Calculus of Variations in practice. This module complements module material in MAT3004 Introduction to Function Spaces, and MAT3008 Lagrangian & Hamiltonian Dynamics, but these modules are not pre-requisite.
View full module detailsRegular 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 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 detailsThis module develops the mathematics underpinning mechanical systems. It builds on differential equations, symmetry and groups, geometry and classical dynamics. It develops both fundamental theory of conservative (Hamiltonian and Lagrangian) systems with symmetry and gives detailed attention to examples such as rigid body motion (such as the dynamics of a spinning top), fluid mechanics (viewed as a dynamical system with many particles), robotics, magnetic field flow, and quantum mechanics.
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 detailsThis module gives a self-contained, rigorous, formal treatment of basic topics in point set topology. Topology is an important topic in modern mathematics and the module will give the thorough grounding in this field. The module will expose students to abstract, general mathematical arguments and techniques. This module builds on material from MAT2004 Real Analysis 2. It also complements the module material in MAT3009 Manifolds and Topology.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
View full module detailsSemester 2
Optional
The 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 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 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 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 detailsThis 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 develops students' understanding of abstract algebra through a study of Lie algebras and their matrix representations. This module builds on material on abstract algebra and matrices from MAT1031 Algebra and MAT1034 Linear Algebra. It also complements the material in MAT2048 Groups & Rings and MAT3032 Advanced Algebra.
View full module detailsThis module contains the following topics: Multivariate Models; Survival analysis; Generalized Linear Models and Binary Data. A selection from specialised topics: Epidemiology; Robust design and Taguchi methods; Bootstrapping. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. Computer lab sessions relating to real life situations will reinforce topics covered and, where possible, will use real data.
View full module detailsThis module is an introduction to the concepts of fluid stability in parallel flows, such as channel flows, and non-parallel flows such as boundary layer flows. By the end of the course students should understand the concept of hydrodynamic stability in the context of simple parallel flows. They should be able to derive the governing stability differential equations and analyse the stability properties of a range of both inviscid and viscous flows.
View full module detailsThe presentations of the module will focus on data-driven methods for the analysis of dynamical systems and time-series data and on related machine learning problems such as dimensionality reduction, manifold learning, regression, and classification. Python will be used to implement data-driven methods. The methods will then be applied to typical benchmark problems such as chaotic dynamical systems, metastable stochastic systems, and fluid dynamics problems, but also, for instance, to image classification problems to highlight similarities with classical supervised learning applications.
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 detailsBSc (Hons) with foundation year and placement
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 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 detailsOptional
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 aims to introduce the students to the core elements of microeconomic theory. The module will begin with a discussion of Economics as a science and its basic principles and concepts. The focus will then move onto the market equilibrium, i.e., the supply and demand model and the impact of government intervention in the market outcomes. Consumer theory and the theory of the firm will be studied to understand the background to the supply and demand model before turning to the welfare implications of different market structures.
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 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 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 detailsOptional
The module covers the principles of chemistry relevant to degree-level study in disciplines requiring a strong background in this subject, (e.g. the BEng in both the Chemical and Civil Engineering programmes at the University of Surrey). There will be a strong focus placed on the fundamental principles of physical chemistry, with a basic introduction to organic and analytical chemistry techniques. Learning will include examples of industrial processes and case studies and there will be an overarching theme of sustainability running through the module linked to several topics (in particular, fuels, combustion and polymers). Module content will be delivered via weekly lectures, interspersed with opportunities for you to reflect on what you have just learned. Additional support is provided in weekly tutorials. There are 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 detailsIn this module the students will learn about the macroeconomic environment and the theoretical and conceptual frameworks which underpin it. It is designed to prepare the students for the more advanced level macroeconomics in the first year of their Economics programme. The module will begin with the introduction of key macroeconomic topics, i.e., economic growth and business cycles, unemployment, inflation and open economy. The focus will then move onto developing a theoretical model to study and analyse the short-run macroeconomic equilibrium. The role of fiscal and monetary policy in shaping economic outcomes will also be discussed. The methodological approach will include the use of mathematical tools in solving and analysing the theoretical models.
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 is an introduction to analysis, which is the branch of mathematics that rigorously studies functions, continuity and limit processes, such as differentiation and integration. The module leads, among other things, to a deeper understanding of what it means for a sequence or series to converge. Tools such as convergence tests are presented and their validity proved, and the rigorous use of definitions and logic play a central role. This course lays the foundations for the Level 5 module in Real Analysis 2 (MAT2004) in particular, and, more generally, underpins other modules where a culture of rigorous proof exists.
View full module detailsProbability is a numerical description of random events, and statistics is the science of collecting and analysing data from these random events and modelling them with random variables. Students will be introduced to the basic concepts of probability distributions, hypothesis testing and random variables. These concepts are fundamental in probability and statistics and lay the foundations for Level 5 Mathematical Statistics (MAT2013), Linear Statistical Methods (MAT2053) and Stochastic Processes (MAT2003). Students will also be introduced to programming in the statistical software R, and thus gain employability through enhancing their digital capabilities.
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 detailsMuch of the way that mathematicians model the physical world today relies on the mathematical framework set out by Newton in the 17th century. In this module, we take as our starting point Newton’s laws of motion and examine how they may be applied to study the dynamics of particles and mechanical systems. This module provides a foundation for MAT3008 Lagrangian and Hamiltonian Dynamics.
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 detailsThis module introduces students to Multivariable Calculus in two and three dimensions, and selected topics such as differential operators and line integrals in Vector Calculus. This extends students’ knowledge developed in MAT1030 Calculus on differentiation and integration of single variable functions to partial differentiation, and double and triple integration of two and three-variable functions. This module provides the necessary ground work for modules such as MAT2047 Curves and Surfaces, MAT2050 Inviscid Fluid Dynamics, and MAT2054 Functions of a Complex Variable.
View full module detailsYear 2 - MMath with placement
Semester 1
Compulsory
Analysis is the branch of mathematics that rigorously studies functions, continuity, differentiability and integration. This module builds on Level 4 Real Analysis 1 (MAT1032) by studying these concepts in a more formal way and hence provides a deeper understanding of these concepts.
View full module detailsThis 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 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 detailsOptional
This module introduces a variety of commonly used techniques from Operations Research. The module leads to a deeper understanding of linear programming problems and the theory that underpins their solving. Tools such as the Simplex Method are presented and an introduction to nonlinear optimisation methods is also provided. This module supports and complements other modules where optimisation and constrained optimisation are considered.
View full module detailsStatistics is the science of collecting and analysing data from random events and modelling them using random variables. This module first recaps the properties of a single random variable as seen in Level 4 Probability and Statistics (MAT1033), then builds on this by considering multiple random variables simultaneously. This module also covers the transformation of random variables, as well as applications such as tail probabilities and limit theorems.
View full module detailsThe module provides an introduction to the theory and properties of curves and surfaces in Euclidean space. Basic concepts and tools from a branch of mathematics known as differential geometry are used to study curves and surfaces, and to understand their geometric properties. This module builds on material from MAT1043 Multivariable Calculus and MAT1034 Linear Algebra. The module is recommended for students intending to select the Year 3 modules MAT3009 Manifolds and Topology, and MAT3044 Riemannian Geometry, although it is not a pre-requisite for either module.
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 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 detailsOptional
Stochastic processes are a series of random variables. Students will be introduced to both Markov Chains and continuous Markov stochastic processes, where the distributions of future random variables are determined by the value of the most recent random variable. These models are important for modelling things which change over time, such as voting intention or population size.
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 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 detailsStatistical modelling provides a means of extracting information from data, enabling informed decisions to be made. It is a versatile and powerful tool with widespread applications contributing to advancements in research, business, technology, and society. Students will be introduced to the basic concepts of statistical modelling via linear regression models, which are fundamental in statistics and serve as the basis for more complex modelling techniques. Model fitting, selection and evaluation are covered for: Simple Linear Regression; polynomial regression and multiple regression models. The module concludes with the introduction of simple models in the Design of Experiments, covering the use of such experiments and the analysis of data arising from them. The statistical software R is fully integrated with the module. Students will reinforce their understanding of concepts of statistical modelling and develop their digital capabilities by using R to conduct analyses of real data sets from business, science and industry.
View full module detailsYear 3 - MMath with placement
Semester 1
Optional
The module introduces the subject of (infinite dimensional) function spaces and shows how they are structured by metric, norm or inner product. The course naturally extends ideas contained in Real Analysis 1 and 2, and it sets in a wider context the orthogonal decompositions seen in the Fourier analysis part of MAT2011: Linear PDEs.
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 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 detailsMotivated by problems in meteorology and oceanography, this module applies a range of mathematical techniques to the characteristion of fluid flows. Geometry, vector calculus, differential equations, symmetry, dynamical systems theory, and analysis are all combined with fluid motion to produce a deeper understanding of atmosphere and ocean dynamics.
View full module detailsBayesian Statistics is the branch of statistics that relies on subjective probability to create a wide range of statistical models. This module introduces Bayesian methodology and guides students to use prior to posterior analysis for modelling realistic problems. This module then tackles more difficult topics such as Bayesian point estimates, model selection and linear regression.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
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 detailsSemester 2
Optional
This 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 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 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 detailsRiemannian geometry is the study of geometric properties of spaces, called manifolds, typically in higher dimensions, which are described smoothly by sets of well-defined co-ordinates. The emphasis is on how mathematically to understand the notion of distance via a metric on such spaces, and how this is used to investigate key associated geometric concepts. Students are introduced to the key concepts of manifolds and metrics, with illustrative examples such as spheres, hyperbolic spaces and Lie groups. The module continues with geodesics, isometries, covariant derivatives, the Levi Civita connection, and concludes with curvature and its properties. Modules in Curves and Surfaces and in Manifolds and Topology contain related material.
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 detailsPartial differential equations (PDEs) are used to model many physical, engineering and biological processes. Some of these systems exhibit exact analytical solutions, but in the majority of cases the PDEs cannot be solved by hand. In these cases we need to utilize computational techniques to form approximate solutions to these PDEs in order to allow understanding and interpretation of the PDE’s behaviour.
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 detailsTime series are a collection of observations taken over time. This covers a great deal of situations such as stock markets, rainfall or even goals scored by a sports team. Features of the time series will lead to an appropriate choice of model. These models will be validated, and then can be used to forecast the future. Despite the modest pre-requisites of Level 4 Probability and Statistics (MAT1033), students will gain resourcefulness and resilience through learning mathematical proofs as well as gain digital capabilities through using R to conduct analyses of data sets and writing a report.
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 detailsYear 4 - MMath with placement
Semester 1
Optional
Mathematical 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 is an introduction to classical and modern methods in the Calculus of Variations. Variational methods have many applications in Mathematics, Physics and Engineering. Examples will be included in the module to illustrate the theory of the Calculus of Variations in practice. This module complements module material in MAT3004 Introduction to Function Spaces, and MAT3008 Lagrangian & Hamiltonian Dynamics, but these modules are not pre-requisite.
View full module detailsRegular 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 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 detailsThis module develops the mathematics underpinning mechanical systems. It builds on differential equations, symmetry and groups, geometry and classical dynamics. It develops both fundamental theory of conservative (Hamiltonian and Lagrangian) systems with symmetry and gives detailed attention to examples such as rigid body motion (such as the dynamics of a spinning top), fluid mechanics (viewed as a dynamical system with many particles), robotics, magnetic field flow, and quantum mechanics.
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 detailsThis module gives a self-contained, rigorous, formal treatment of basic topics in point set topology. Topology is an important topic in modern mathematics and the module will give the thorough grounding in this field. The module will expose students to abstract, general mathematical arguments and techniques. This module builds on material from MAT2004 Real Analysis 2. It also complements the module material in MAT3009 Manifolds and Topology.
View full module detailsUnderstanding the motions in our atmosphere and oceans is key to understanding, and hence solving, the global climate crisis. By applying a range of mathematical techniques to the governing fluid flow equations we are able to consider simplified models of a hugely complex system which will allow us to gain a deeper understanding about the transports of energy and heat on our planet.
View full module detailsSemester 2
Optional
The 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 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 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 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 detailsThis 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 develops students' understanding of abstract algebra through a study of Lie algebras and their matrix representations. This module builds on material on abstract algebra and matrices from MAT1031 Algebra and MAT1034 Linear Algebra. It also complements the material in MAT2048 Groups & Rings and MAT3032 Advanced Algebra.
View full module detailsThis module contains the following topics: Multivariate Models; Survival analysis; Generalized Linear Models and Binary Data. A selection from specialised topics: Epidemiology; Robust design and Taguchi methods; Bootstrapping. Statistical software is used to ensure that the emphasis is on methodological considerations rather than on calculation. Computer lab sessions relating to real life situations will reinforce topics covered and, where possible, will use real data.
View full module detailsThis module is an introduction to the concepts of fluid stability in parallel flows, such as channel flows, and non-parallel flows such as boundary layer flows. By the end of the course students should understand the concept of hydrodynamic stability in the context of simple parallel flows. They should be able to derive the governing stability differential equations and analyse the stability properties of a range of both inviscid and viscous flows.
View full module detailsThe presentations of the module will focus on data-driven methods for the analysis of dynamical systems and time-series data and on related machine learning problems such as dimensionality reduction, manifold learning, regression, and classification. Python will be used to implement data-driven methods. The methods will then be applied to typical benchmark problems such as chaotic dynamical systems, metastable stochastic systems, and fluid dynamics problems, but also, for instance, to image classification problems to highlight similarities with classical supervised learning applications.
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 detailsTeaching and learning
In Year 1, you’ll have weekly small-group seminars for specific modules and approximately 20 contact hours each week. We encourage peer-to-peer learning and have many study spaces available for you to meet with friends and work on problems together.
We make imaginative use of state-of-the-art IT equipment, while general and specialist software further enriches and enlivens the learning experience.
- Independent study
- Laboratory work
- Lectures
- Online learning
- Seminars
- Tutorials
Assessment
We use a variety of methods to assess you, including:
- Case studies
- Coursework
- Exercises
- 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.
A degree in mathematics opens up a wide range of careers. Not only are mathematics and statistics central to science, technology and finance-related fields, but the logical insight and skills gained from a mathematical education are also highly sought after in areas like law, business and management.
Many start their careers with some of the most sought-after employers in the UK and further afield.
As well as being designed to meet the needs of employers, our courses give you a solid foundation to pursue further study in mathematics or scientific research.
93 per cent of our mathematics undergraduate students go on to employment or further study (Graduate Outcomes 2023, HESA).
Recent graduate roles
Recent graduates are now employed as:
- Credit Analyst, Santander
- Data Analyst, Thames Water Utilities
- Deputy Head Supervisor at AE Tuition
- Finance Graduate, Ford
- Forensic Technology Associate, Deloitte
- Graduate Trainee in Corporate Banking, Barclays
- Intelligence Manager at NHS South
- Public Health Intelligence Analyst at Westminster City Council
- Researcher in Autonomous Robotics
- Risk Graduate, Lloyds Banking Group
- Senior Personal Banker, RBS
- Trainee Actuary, Equitable Life.
Dan Hulkes
Student - Mathematics MMath
"I enjoy the wide variety of modules offered and how you can tailor the course to your interests. All the lecturers are really responsive and are happy to meet with you to discuss anything about the course."
Anand Sahota
Graduate - Mathematics BSc (Hons)
"Surrey helped my career by having the Professional Training placement experience on my CV. It was such a game-changer in interviews. Other candidates would reference university projects or modules, while I’d use real-world examples working on real projects. My placement helped me get ahead of the competition."
Learn more about the qualifications we typically accept to study this course at Surrey.
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 the Zimbabwe General Certificate of Education at Ordinary level.
We do not accept school leaving qualifications from Morocco.
- BSc (Hons):
- AAB-ABB
- Required subjects: Mathematics at Grade A
- MMath:
- AAA.
- Required subjects: Mathematics at Grade A. If you are also studying Further Maths we will reduce the offer by 1 grade. Only 1 offer grade reduction policy will apply.
- BSc (Hons) with foundation year:
- CCC
- Required subjects: Mathematics at Grade C
GCSE or equivalent: English Language at Grade 4 (C).
- BSc (Hons):
- DDD. Additionally, Mathematics at Grade A.
- MMath:
- D*DD. Additionally, Mathematics at Grade A.
- BSc (Hons) with foundation year:
- MMM. Additionally, Mathematics at Grade C.
GCSE or equivalent: English Language at Grade 4 (C).
- BSc (Hons):
- 34-33
- Required subjects: Mathematics Applications and Interpretations HL6 or Mathematics Analysis and Approaches HL6/SL7
- MMath:
- 35
- Required subjects: Mathematics Applications and Interpretations HL6 or Mathematics Analysis and Approaches HL6/SL7
- BSc (Hons) with foundation year:
- 29.
- Required subjects: Mathematics Applications and Interpretations HL4 or Mathematics Analysis and Approaches HL4/SL6
GCSE or equivalent: English A HL4/SL4 or English B HL5/SL6.
.
- BSc (Hons):
- 82%-78%
- Required subjects: Mathematics (5 period) 8.5
- MMath:
- 85%
- Required subjects: Mathematics (5 period) 8.5
- BSc (Hons) with foundation year:
- For foundation year equivalencies please contact the Admissions team.
GCSE or equivalent: English Language (1/2) - 6 or English Language (3) - 7
- BSc (Hons):
- QAA recognised Access to Higher Education Diploma with 45 level 3 credits overall including 39 at Distinction and 6 at Merit - 30 at Distinction and 15 at Merit. Additionally, Mathematics at Grade A
- MMath:
- QAA recognised Access to Higher Education Diploma with 45 level 3 credits overall including 45 at Distinction. Additionally, Mathematics at Grade A.
- BSc (Hons) with foundation year:
- QAA recognised Access to Higher Education Diploma with 45 Level 3 credits including 21 Level 3 Credits at Distinction, 3 Level 3 Credits at Merit, 21 Level 3 Credits at Pass. Additionally, Mathematics at Grade C.
GCSE or equivalent: English Language at Grade 4(C).
- BSc (Hons):
- AAABB-AABBB
- Required subjects: Mathematics at Grade A
- MMath:
- AAAAB
- Required subjects: Mathematics at Grade A
- BSc (Hons) with foundation year:
- For foundation year equivalencies please contact the Admissions team.
GCSE or equivalent: Scottish National 5 English Language grade C.
- BSc (Hons):
- Pass overall including AAB-ABB from a combination of the Advanced Skills Challenge and two A-levels.
- Required subjects: A-level Mathematics at Grade A
- MMath:
- Pass overall including AAA from a combination of the Advanced Skills Challenge and two A-levels.
- Required subjects: A-level Mathematics at Grade A. If you are also studying A-level Further Maths, we will reduce the offer by 1 grade. Only 1 offer grade reduction policy will apply.
- BSc (Hons) with foundation year:
- Pass overall with CCC from a combination of the Advanced Skills Challenge Certificate and two A-levels.
- Required subjects: A-level Mathematics
GCSE or equivalent: Please check the A-Level drop-down for GCSE requirements.
This route is only applicable to the MMath course.
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.
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): £60 – travel costs of up to £60 may be incurred in order to attend the placement school (please note this is only applicable if you take the PHY3063 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 placements
Mathematicians are in demand in many areas of business and industry, and this breadth is reflected in the award-winning Professional Training placements that students take as part of their course. Students usually go on placement between Years 2 and 3, but MMath students can go on placement between Years 3 and 4.
You might choose to gain experience in financial services, including banking, insurance, computer programming or logistics. You might even be involved in an internet start-up.
Over the years, we’ve placed students with many big-name companies and laboratories. These include:
- AstraZeneca
- CERN
- Commerzbank
- Lloyds Banking Group
- McLaren
- Thames Water Utilities.
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 two semesters abroad at one of our partner universities. Students have gone to study in:
- America
- Australia
- Canada
- Singapore.
Find out more about our international partner institutions.
Apply for your chosen course online through UCAS, with the following course and institution codes.
About the University of Surrey
Need more information?
Contact our Admissions team or talk to a current University of Surrey student online.
- BSc (Hons)View UGB10F0001U
- BSc (Hons) with foundation yearView UGB10F0017U
- BSc (Hons) with placementView UGB10S0002U
- BSc (Hons) with foundation year and placementView UGB10S0016U
- MMathView UGB19F0001U
- MMath with placementView UGB19S0002U
Terms and conditions
When you accept an offer to study at the University of Surrey, you are agreeing to follow our policies and procedures, student regulations, and terms and conditions.
We provide these terms and conditions in two stages:
- First when we make an offer.
- Second when students accept their offer and register to study with us (registration terms and conditions will vary depending on your course and academic year).
View our generic registration terms and conditions (PDF) for the 2023/24 academic year, as a guide on what to expect.
Disclaimer
This online prospectus has been published in advance of the academic year to which it applies.
Whilst we have done everything possible to ensure this information is accurate, some changes may happen between publishing and the start of the course.
It is important to check this website for any updates before you apply for a course with us. Read our full disclaimer.