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

Mathematics and Computer Science

University of Oxford Β· Oxford
Qualification
Degree
Length
4 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

Mathematics and computer science at the University of Oxford is one of the most intellectually demanding undergraduate programmes in the world. The two disciplines are deeply connected: computer science emerged from mathematics, and the most important advances in computation, from the theory of algorithms to machine learning and cryptography, rest on mathematical foundations. Studying them together at Oxford means engaging with both at their deepest level, in an environment where the tutorial system challenges you to think with rigour and independence from the very beginning.

This programme is available as either a three-year or four-year degree, the longer version offering the opportunity to go deeper into the material and to pursue a more extended project. You will study pure mathematics, including analysis, algebra, and discrete mathematics, alongside computer science topics such as algorithms, programming language theory, computer architecture, and artificial intelligence. The Oxford approach to both subjects is highly theoretical, emphasising mathematical proof, formal reasoning, and the conceptual foundations from which practical techniques derive their validity.

The typical tariff of 216 points reflects the exceptional level of academic preparation the programme demands.

Graduates from mathematics and computer science at Oxford are among the most sought-after in the world. Careers include software engineering, algorithm design, quantitative finance, cryptography, artificial intelligence research, academic research, and technology leadership. Many graduates go on to doctoral programmes at leading universities, including Oxford itself, or join the research laboratories of major technology companies.

The combination of mathematical depth and computational sophistication gives Oxford graduates a genuine advantage in roles that require not just technical skill but fundamental understanding of why things work.

Could you get in?
The grades students arrived with
48-63 pts5%
160-175 pts10%
176-191 pts5%
192-207 pts5%
208-223 pts25%
224-239 pts20%
240+ pts30%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
95%
Continue past first year
87%
Student satisfaction
What graduates earn over time
Β£40,000
After 15 months
Β£51,500
3 years on
Β£68,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled70%
Administrative occupations5%
Business and public service associate professionalsHighly skilled15%
Business, Research and Administrative ProfessionalsHighly skilled10%
What students say National Student Survey
87%
of students are satisfied with the course overall
Teaching91%
Assessment & feedback78%
Academic support81%
Well organised84%
Learning resources88%
Student community93%
In students' own words
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Genuinely worthwhile
The course has exceeded my expectations. The best part: the course strikes a good balance between theory and practical application. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” local cost of li…
Third year Β· Full-time
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Would do it again
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, first-year classes can be quite large. On the city β€” local cost of living is managea…
Third year Β· Part-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 Oxford'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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