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

Mathematics with Finance

University of Exeter Β· Exeter
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

Mathematics with finance is a degree for students who want the intellectual depth of a mathematics education alongside the analytical tools to engage seriously with financial markets, instruments and institutions. Mathematics provides rigorous training in proof, analysis, modelling and quantitative reasoning, while finance introduces the theory and practice of how capital is allocated, risk is assessed and financial systems function. The combination is particularly powerful in a world where financial markets are driven by increasingly sophisticated mathematical models.

At the University of Exeter, this three-year full-time programme includes a sandwich year and a work placement, giving you structured professional experience in finance, banking, asset management or a related field before you graduate. Exeter is a partner of the CQF Institute, a globally recognised body supporting education in quantitative finance, and students benefit from membership that connects them to a professional community in the field.

You will study pure and applied mathematics, including real analysis, linear algebra, differential equations, probability and statistics, alongside financial mathematics, stochastic processes, derivatives pricing, portfolio theory and risk management. The mathematical depth of the programme distinguishes it from business finance degrees, equipping you with the formal tools to understand and contribute to quantitative finance at a serious level.

Graduates go on to careers in investment banking, asset management, quantitative analysis, actuarial science, risk management, financial technology, derivatives trading and financial modelling. The combination of mathematical rigour and financial knowledge is among the most valued in financial services. Postgraduate study in mathematical finance, financial mathematics, statistics or actuarial science is a common route for those who want to specialise further.

Could you get in?
The grades students arrived with
112-127 pts5%
128-143 pts30%
144-159 pts25%
160-175 pts20%
176-191 pts10%
208-223 pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
87%
In work or further study after
90%
Continue past first year
93%
Student satisfaction
What graduates earn over time
Β£35,000
After 15 months
Β£40,000
3 years on
Β£59,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations5%
Information Technology ProfessionalsHighly skilled30%
Finance ProfessionalsHighly skilled33%
Business, Research and Administrative ProfessionalsHighly skilled23%
Sales occupations5%
Elementary occupations2%
Business and public service associate professionalsHighly skilled16%
Natural and social science professionalsHighly skilled10%
What students say National Student Survey
93%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback88%
Academic support74%
Well organised93%
Learning resources88%
Student community88%
In students' own words
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Exceeded expectations
Coming here has changed how I think. The best part: small-group tutorials really push your thinking. If I'm honest, first-year classes can be quite large. On the city β€” good transport links make it easy to visit other UK cities at weekends.…
Third year Β· Full-time
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Highly recommend
This is the perfect place to study this subject. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” goo…
Class of 2022 Β· Part-time
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Exeter'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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