University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Computer Science and Mathematics

University of Durham Β· Durham
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Computer science and mathematics is a pairing of two disciplines that are more deeply intertwined than their different reputations might suggest. Computer science has mathematical foundations in logic, discrete mathematics, algorithms, and probability that determine what computation can and cannot achieve, while mathematics increasingly relies on computational tools for exploration, visualisation, and proof. Studying both together develops graduates who understand each discipline more profoundly than they would as specialists in only one, and who can bring quantitative rigour and algorithmic thinking to problems that neither discipline alone would fully address.

At the University of Durham, this three-year programme develops your knowledge of both disciplines to a high level. In the computer science strand, you will study algorithms, data structures, programming paradigms, software engineering, computer architecture, and the theoretical foundations that underlie all of computing. In the mathematics strand, you will engage with calculus, algebra, analysis, probability, and statistics, developing the formal reasoning skills that mathematical training demands.

The programme includes a sandwich year in industry, a year abroad, and work placement opportunities, giving you professional experience and an international perspective that significantly enhance your employability. Durham is a leading research university, and the computer science and mathematics departments both benefit from strong research activity that informs the teaching throughout the degree.

Graduates from this programme are in strong demand across technology, finance, and research. Software engineering, machine learning, data science, and cryptography are natural technical destinations. The financial sector, particularly in quantitative research and trading, values the combination of mathematical depth and computing skill.

Research careers in theoretical computer science, applied mathematics, or computational science draw those who continue to postgraduate study. The sandwich year frequently leads directly to graduate employment, and the degree's combination of analytical and technical skills is highly valued by employers in technology-intensive industries.

Could you get in?
The grades students arrived with
<48 pts2%
96-111 pts1%
112-127 pts1%
128-143 pts2%
144-159 pts5%
160-175 pts13%
176-191 pts9%
192-207 pts14%
208-223 pts14%
224-239 pts14%
240+ pts22%
How they qualified
97% got in with A-levels. The rest came in a mix of ways:
A-levels97%
Other3%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
88%
In work or further study after
97%
Continue past first year
91%
Student satisfaction
What graduates earn over time
Β£35,000
3 years on
Β£44,000
5 years on
What graduates actually go on to do % of leavers
Elementary occupations4%
Information Technology ProfessionalsHighly skilled21%
Finance ProfessionalsHighly skilled13%
Business and public service associate professionalsHighly skilled13%
Business, Research and Administrative ProfessionalsHighly skilled10%
Natural and social science professionalsHighly skilled7%
Managers, directors and senior officialsHighly skilled3%
Artistic, literary and media occupationsHighly skilled3%
What students say National Student Survey
91%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback85%
Academic support82%
Well organised92%
Learning resources92%
Student community92%
In students' own words
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Genuinely worthwhile
This is the perfect place to study this subject. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good trans…
Third year Β· Part-time
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A great decision
Honestly, one of the best decisions I've made. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transp…
Class of 2022 Β· Full-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Durham's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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