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

Mathematics/Mathematics and Statistics

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 at Oxford is one of the most intellectually demanding and rewarding degrees available anywhere in the world. The discipline is the language in which the laws of nature are written, the foundation of modern technology and economics, and a body of abstract thought of remarkable beauty and depth. At the level that Oxford reaches, mathematics is not a collection of techniques to be applied but a creative discipline in which imagination, rigour and the capacity for sustained abstract reasoning are all essential.

The Oxford course allows students to take either the pure Mathematics degree or the Mathematics and Statistics degree, with the choice made during the programme.

Across four full-time years you will work across pure mathematics, including analysis, algebra, topology and number theory, alongside applied and computational mathematics, and, if you choose the statistics pathway, probability theory, statistical inference and their applications. The tutorial system at Oxford means you will work in very small groups with some of the leading mathematicians in the world, receiving close attention to your mathematical thinking and argument that no lecture course can replicate. The breadth and depth of the curriculum, and the speed at which it advances, places substantial demands on students, and those who meet those demands emerge with mathematical abilities that are among the most versatile and valued of any degree subject.

Oxford mathematics graduates go on to careers in finance and investment banking, management consulting, technology and software engineering, the civil service, academic research, data science and a wide range of other fields where the capacity for rigorous quantitative reasoning is valued. Many continue to doctoral study in mathematics or related disciplines. The statistics pathway opens additional doors in actuarial work, biostatistics, data science and statistical research.

Few degrees are as consistently recognised by employers as a marker of exceptional analytical ability.

Could you get in?
The grades students arrived with
<48 pts2%
48-63 pts3%
112-127 pts1%
144-159 pts1%
160-175 pts10%
176-191 pts4%
192-207 pts3%
208-223 pts21%
224-239 pts31%
240+ pts22%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
78%
In work or further study after
96%
Continue past first year
87%
Student satisfaction
What graduates earn over time
Β£43,000
3 years on
Β£60,000
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled35%
Leisure, travel and related personal service occupations5%
Administrative occupations5%
Information Technology ProfessionalsHighly skilled25%
Teaching ProfessionalsHighly skilled10%
Engineering professionalsHighly skilled5%
Business and public service associate professionalsHighly skilled5%
Managers, directors and senior officialsHighly skilled5%
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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A great decision
Coming here has changed how I think. The best part: small-group tutorials really push your thinking. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” local cost of living is manageable if you share a ho…
Class of 2022 Β· Full-time
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Genuinely worthwhile
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: small-group tutorials really push your thinking. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” local cost of livi…
Class of 2024 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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