Why choose this course
Collecting, managing and analysing data is essential across many sectors – from finance to politics, and advertising to healthcare. This course will give you the advanced computation and mathematics skills you’ll need to work in the growing field of data science.
Designed in collaboration with industry and drawing on our leading research, our Data Science MSc will prepare you for a career as a data scientist, data analyst, data engineer, data architect or a business analyst.
This course uniquely addresses the fundamentals of data as well as the technical considerations needed to handle data with increasing scale and complexity.
What you will study
This course combines in-depth study of the theory and practice of data science with an optional year-long work placement, where you’ll get the chance to apply your knowledge to industry-relevant challenges. A placement also allows you to discover the business value of data-oriented research and development.
You’ll develop solid technical knowledge of data science principles and practices, machine learning and data mining, practical business analytics, database systems and cloud computing. You can also customise this course with optional modules in information security, sensors and artificial intelligence.
Finally, you’ll complete a dissertation where you can further explore an area that interests you. This is particularly useful if you’re aiming to progress to a PhD.
Students on this course benefit from a range of advanced facilities including:
- £1.7million multi-purpose Computer Science Laboratory with state-of-the-art audio visual equipment. View a video tour.
- Six open access PC labs and four dedicated specialist labs
- Specialist desktop solutions including development software, research packages and dedicated printing
- A high performance computing (HPC) cluster
- An access grid node (AGN) which provides a 6m screen for video conferencing, presentation sharing and software demonstration
- Free software and free wireless network
- Two common rooms, one for quiet study, available for students to use 24 hours a day.
Careers and graduate prospects
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.
Graduates of this course are in high demand across many sectors, and go on to roles such as data scientist, data analyst, data engineer, data architect or business analyst.
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.
Important: In light of the Covid-19 pandemic, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the 2020/21 academic year. These changes include the implementation of a hybrid teaching approach. View detailed information on the changes.
The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45 or 60, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programmes follows 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:
Course timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Timetabling Policy (PDF).
A minimum of a 2:2 UK honours degree in either Computer Science, Electrical or Electronic Engineering, Mathematics, Physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements.
View entry requirements by country
English language requirements
IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other component.
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.
The University of Surrey recognises 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, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/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. Please email Admissions with any queries.
Start date: February 2021
Full-time - 1 year
Full-time (with placement) - 2 years
Start date: October 2021
Full-time - 1 year
Full-time (with placement) - 2 years
The placement option for this course costs an additional £1,850 on top of the base course fee listed above.
- These fees apply to students commencing study in the academic year 2020-21 only. Fees for new starters are reviewed annually.
- If you are on a two-year or three-year part-time structured masters course, the annual fee is payable in Year 1 and Year 2 of the course.
You may be able to borrow money to help pay your tuition fees and support you with your living costs. Find out more about postgraduate student finance.
Scholarships and bursaries
We're committed to making sure that we offer support for students who might need it.
Study a Master's in Europe Scholarship
Application Deadline: 17.05.21
Find out more
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations, and our terms and conditions. These terms and conditions are provided in two stages: first when we make an offer and second when students who have accepted their offers register to study at the University. View an example of our offer terms and conditions and our generic registration terms and conditions (PDF) as a guide as to what to expect.
Please note: our offer terms and conditions will generally be available in the September of the calendar year prior to the year in which you begin your studies. Our registration terms and conditions will vary to take into account specifics of your course and changes for the specific academic year.
This online prospectus has been prepared and published in advance of the academic year to which it applies. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read more.
Further, in light of the COVID-19 pandemic, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21. These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at our dedicated course changes webpage. This webpage sets out information relating to general University changes, and will also direct you to consider additional information relating to specific programmes.