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

Finance & Mathematics

University of Glasgow Β· Glasgow
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

Finance and mathematics together address two disciplines that have become inseparable in modern financial practice. Finance is the study of how decisions are made about money and capital, how financial assets are priced, how risk is measured and managed, and how financial institutions and markets operate. Mathematics provides the formal language in which these questions are formulated and the tools through which they are answered: calculus, linear algebra, probability, statistics, and the mathematical techniques that underpin quantitative finance.

At Glasgow, this four-year full-time programme combines finance, which examines the theory and practice of financial decision-making, with mathematics, which incorporates the successful exploration of numerical, geometrical, and logical relationships. You will develop a genuine command of both disciplines, building the quantitative rigour and financial understanding that careers in financial services, asset management, and quantitative research demand. The programme includes a year abroad, giving you the opportunity to study at a partner institution and to experience these disciplines in a different academic and cultural environment.

The typical entry tariff is 232 points.

Graduates of finance and mathematics programmes are among the most sought-after in the financial sector. Quantitative roles in investment banking, asset management, risk management, financial technology, and academic finance are natural directions, as are roles in economic consultancy, actuarial science, and data science. The depth of mathematical training combined with finance knowledge makes graduates particularly well suited to roles that involve financial modelling, derivatives pricing, portfolio optimisation, and algorithmic trading.

Many go on to postgraduate study in mathematical finance, financial economics, or statistics.

Could you get in?
The grades students arrived with
128-143 pts10%
192-207 pts15%
208-223 pts10%
224-239 pts15%
240+ pts30%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
an Access course5%
the IB5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
95%
In work or further study after
95%
Continue past first year
75%
Student satisfaction
What graduates earn over time
Β£27,000
After 15 months
Β£31,000
3 years on
Β£41,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations15%
Finance ProfessionalsHighly skilled60%
Business and public service associate professionalsHighly skilled10%
Leisure, travel and related personal service occupations5%
Business, Research and Administrative ProfessionalsHighly skilled15%
Elementary occupations10%
Sales occupations5%
Skilled trades occupations5%
What students say National Student Survey
75%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback67%
Academic support70%
Well organised70%
Learning resources78%
Student community81%
In students' own words
β˜…β˜…β˜…β˜…β˜…
Genuinely worthwhile
I've grown so much academically and personally here. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” good…
Postgraduate Β· Part-time
β˜…β˜…β˜…β˜…β˜…
Genuinely worthwhile
I've grown so much academically and personally here. The best part: small-group tutorials really push your thinking. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good transport links make it easy …
Final year 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 Glasgow'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.

Β© 2026 Careermash. A concept for secondary schools.