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Computer Science and Mathematics at Durham University - UCAS

Course options

2025 - 2026
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Durham University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Course summary

In our changing world, the field of computer science which is underpinned by mathematics is a driving force behind many of the transformative technological breakthroughs that have shaped our lives. The skills required by today's dynamic tech sector demand a robust knowledge of mathematical fundamentals, statistics and machine learning. The BSc in Computer Science and Mathematics allows you to explore the connections between the two fields and provides the foundational knowledge and practical skills needed to thrive in a data-driven workplace. At Durham, learning is informed by our close collaborations with high-tech industries and employers, which affords us invaluable insights into emerging trends and priorities in the industry. An equal balance of Computer Science and Mathematics in Year 1 includes computer science, pure mathematics, statistics and probability, before moving on to a range of option modules in innovative technological applications during Year 2. This provides a strong foundation from which you can explore more advanced topics in statistics, artificial intelligence and data science in the final year. The final year also includes an individual project and the option to complete our interdisciplinary enterprise module. This module develops complementary graduate skills as you work in groups to develop a business plan to bid for mock research funding. The wide array of option modules provides the flexibility to tailor your learning in line with your evolving interests. In addition, the common first year allows the option to transfer onto either the MSci Computer Science and Mathematics, BSc Computer Science, BSc Mathematics degree or BSc Natural Sciences at the end of Year 1. A degree in Computing and Mathematics opens doors to a wide range of exciting roles where you can make a real difference in the world. And in this fast-evolving field, you're not just preparing for the jobs that exist today, you’re also equipping yourself with the skills to thrive in new and emerging areas.

Subject options

This course offers the following subject options:

  • Computer Science.
  • Mathematics

Modules

Year 1 Core modules: Computational Thinking explores the breadth of computer science and the ways in which the different topics are linked. You will learn the importance of computation and computational thinking in the modern world and the impact it has on technology advances in different settings. Algorithms and Data Structures introduces the theory and practice of problem-solving in computing through the development of algorithms and their associated data structures, for common computer science problems. Content included machine modelling, control flow structures and analysis of algorithms. Calculus builds on ideas of differentiation and integration in A level mathematics. The module begins with functions of a single variable before moving on to functions of several variables. Topics include methods of solving ordinary and partial differential equations, and an introduction to Taylor series, Fourier series and Fourier transforms. Linear Algebra presents mathematical ideas, techniques in linear algebra and develops the geometric intuition and familiarity with vector methods you will need for more challenging material later in the course. Probability introduces mathematical ideas on probability in preparation for more demanding material later in the course. The module builds problem solving skills through the exploration of a mathematical subject of relevance to the real-world (applied) that is based on rigorous mathematical foundations (pure). Statistics introduces frequentist and Bayesian approaches and demonstrates the relevance of these principles and procedures using real problems. This introductory module lays the foundations for all subsequent study of statistics. In recent years, option modules have included: Computer Systems Programming Year 2 All second-year modules are chosen from options. In recent years option modules have included: Theory of Computation Programming Paradigms Artificial Intelligence Data Science Probability Statistical Modelling Statistical Inference Data Science and Statistical Computing Algebra. Year 3 (Year 4 if undertaking a placement or year abroad) You can choose from several opportunities for the final-year individual Project. Using the knowledge and tools from the course you will complete either a detailed and critical examination of a relevant area of computer science; investigate a topic of interest; or perform an in-depth analysis of a data set under the supervision of a member of academic staff. The project further develops your skills and ability to plan and manage your own learning, and then present your findings and conclusions. The remainder of the year is made up of option modules, which in recent years have included: Algorithmic Game Theory Bioinformatics Deep Learning Human-AI Interaction Design Recommender Systems Reinforcement Learning Natural Computing Algorithms Advanced Statistical Modelling Bayesian Computation and Modelling Cryptography And Codes Decision Theory Machine Learning and Neural Networks Mathematical Finance Operations Research Stochastic Processes Science Enterprise.

Assessment method

Some modules are assessed entirely through coursework (which may involve problem solving exercises, practical work and assignments) and others by examination, while others are by a combination of methods. The final-year project is an opportunity to bring your prior learning to a project of your choice. The project is completed under the supervision of an academic from your chosen subject area and makes up one-third of your final-year marks.

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G411
Institution code:
D86
Campus name:
Durham City
Campus code:
O

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

Durham has a long and proud history of welcoming students from countries across the globe.https://www.dur.ac.uk/study/international/

Entry requirements

Qualification requirements

In addition to satisfying the University’s general entry requirements, please note: · We welcome applications from those with other qualifications equivalent to our standard entry requirements and from mature students with non-standard qualifications or who may have had a break in their study. · There is no advantage in applying for both MSci and BSc degrees. · Entry requirements are the same for both MSci and BSc degrees. · We do not include General Studies or Critical Thinking as part of our offer. · We are pleased to consider applications for deferred entry.

Please click the following link to find out more about qualification requirements for this course

https://www.dur.ac.uk/study/ug/apply/entry/

English language requirements

Durham University welcomes applications from all students irrespective of background. We encourage the recruitment of academically well-qualified and highly motivated students, who are non-native speakers of English, whose full potential can be realised with a limited amount of English Language training either prior to entry or through pre-sessional and/or in-sessional courses. It is the normal expectation that candidates for admission should be able to demonstrate satisfactory English proficiency before the start of a programme of study, whether via the submission of an appropriate English language qualification or by attendance on an appropriate pre-sessional course. Acceptable evidence and levels required can be viewed by following the link provided.

English language requirements

https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
Republic of Ireland £9535 Year 1
EU £33250 Year 1
International £33250 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

The tuition fees shown for home students are for one complete academic year of full time study and are set according to the academic year of entry. Fees for subsequent years of your course may rise in line with an inflationary uplift as determined by the government. The tuition fees shown for overseas and EU students are for one complete academic year of full time study and are set according to the academic year of entry. Fees are subject to an annual inflationary increase. In deciding the annual level of increase the University will take into account inflationary pressures on the costs of delivery. Tuition fees will rise annually by up to the higher of 6% or the latest annual percentage increase in the Consumer Prices Index. There may also be additional course costs for things like books (if you want to purchase them), field trips etc.

Sponsorship information

We're committed to supporting the best students irrespective of financial circumstances. https://www.durham.ac.uk/study/scholarships/

Computer Science and Mathematics at Durham University - UCAS