Skip to main content

Data Science (Full-Time, 2018 Entry)


What will I learn?

This flexible course enables talented mathematicians to pursue sophisticated theory of modern application domains requiring largescale data analysis. Data Science questions how to make sense of the vast volumes of data generated daily in modern life, from social networks to scientific research and finance, and suggests sophisticated computing techniques for processing this deluge of information.

Warwick is leading the way in the provision of UK undergraduate degrees in this emerging discipline at the interface of Statistics and Computer Science. Our modules are taught by specialists from the Departments of Statistics, Computer Science and Mathematics, each of which is at the forefront of research. The course provides an essential mix of highly developed mathematical, statistical and computing skills for those interested in a career in information technology. Alongside this core knowledge, you will develop expertise in specialist areas of machine learning, data mining and algorithmic complexity. You will also acquire skills in analytical thinking, crossdisciplinary communication, mathematical and statistical modelling, algorithm design and software engineering, thoroughly preparing you for other careers including manufacturing, pharmaceuticals, finance, telecoms, scientific research, academia, teaching and management.

How will I learn?

You will learn through a combination of lectures, small-group tutorials and practical sessions based in the Department's well-equipped undergraduate computing laboratory. A central part of learning in Mathematics and Statistics is problem solving. We encourage and guide students in tackling a variety of theoretical exercises and computing tasks. MMathStat students work on their own research project in Statistics, supervised by academic staff.

How will I be assessed?

You will be assessed by a combination of closed and open-book examinations, continuous assessment and project work, depending on your options.

What options are there for work experience and to study abroad?

We support student mobility through study abroad programmes and all students have the opportunity to apply for an intercalated year abroad at one of our partner universities. The Study Abroad Team based in the Office for Global Engagement offers support for these activities, and the Department's dedicated Study Abroad Co-ordinator can provide more specific information and assistance.

  • Entry Requirements

    A Level

    A*AA, to include A* in Mathematics and A in Further Mathematics

    A*A*A + AS Level A, to include A* in Mathematics and A in AS level Further Mathematics

    A*A*A*, to include Mathematics

    AAA +2 in STEP or Merit in AEA, to include Mathematics

    A levels in Applied Subjects and Mixed Portfolios Candidates considered on an individual basis. Grades required similar to those for candidates taking academic A and AS qualifications.

    International Baccalaureate 38 points including 7 in Higher Level Mathematics

    Other Qualifications We welcome applications from students with other internationally recognised qualifications. For more information please visit the international entry requirements page.

    Access Courses Access to HE Diploma (QAA-recognised) including appropriate subjects with distinction grades in all level 3 units, and Mathematics grade A* at A level or equivalent.

    Warwick International Foundation Programme (IFP) All students who successfully complete the Warwick IFP and apply to Warwick through UCAS will receive a guaranteed conditional offer for a related undergraduate programme (selected courses only). For full details of standard offers and conditions visit the IFP page.

    General Studies/Critical Thinking Offers normally exclude General Studies at A or AS level and Critical Thinking at A level.

    Further Information

    Taking a gap year Applications for deferred entry welcomed.

    Interviews We do not typically interview applicants.Offers are made based on your predicted and actual grades, along with your personal statement. Occasionally, some applicants may be interviewed, for example candidates returning to study or those with non-standard qualifications.

    Open Days We hold Departmental Open Days for offer holders in March. These are an excellent opportunity to get a personal impression of the Department and to put questions to lecturers and professors. Find out more about our main University Open Days and other opportunities to visit us.

What modules could I study?

Your first year provides background knowledge and fundamental skills in Data Science, including coverage of areas such as mathematical analysis, probability, set theory and linear algebra, which are further embedded in your second year. From this point you will also acquire more specialist expertise, gaining practical experience of industrial software engineering through group project work. You’ll also hone your mathematical skills through the study of more advanced mathematical techniques such as stochastic processes, multivariate calculus, randomisation and metrics. Your final year is focused on applying all these skills, culminating in an individual project on a topic of your choice, involving extended analysis of a substantial data set.

Find out more about the degree structure and modules on the Department of Statistics website.

*The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.

What careers can a Warwick degree in Data Science lead to?

Our graduates have gone on to work for organisations including: Ernst and Young LLP, PwC, Boots, KPMG, Department of Work and Pensions.

Examples of our graduates’ job roles include: Actuarial Analyst, Systems Engineer, Risk Consultant, Assistant Statistician, Data Analyst.

Essential information

Entry Requirements
A level:

A*AA, to include A* in Mathematics and A in Further Mathematics

A*A*A + AS Level A, to include A* in Mathematics and A in AS level Further Mathematics

A*A*A*, to include Mathematics

AAA +2 in STEP or Merit in AEA, to include Mathematics


38 points including 7 in Higher Level Mathematics


Degree of Bachelor of Science (BSc)

3 years full time (30 weeks per academic year

Department website

Department of Statistics

Data Science department course page

Department of Computer Science

Student blogs
Rob Hannay - Computer Science

Mark Hurdley - Statistics

Location of study
University of Warwick, Coventry

Tuition fees
Find out more about fees and funding

Other course costs

There may be costs associated with other items or services such as academic texts, course notes, and trips associated with your course.

For further information on the typical additional costs please see the Additional Costs page.

Download a prospectus (PDF)

Visit campus

This information is applicable for 2018 entry.