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

Financial Mathematics

Queen Mary University of London · London
Qualification
Degree
Length
5 yrs
UK fees / yr
£9,535
Study
Full-time
Robin · 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

Explore Queen Mary’s MSci Financial Mathematics degree, focusing on data interpretation and financial modelling. Build advanced skills for careers in banking, risk or FinTech. Unlock some of the most in-demand careers as you explore data interpretation and decision making in financial markets.

Interpreting data. Drawing conclusions. Making good decisions.

Since the 2008 global financial market crash, the expertise of financial mathematicians has captured our attention and become vital to the success of many businesses in the face of uncertainty. Discover analytical models, procedures, and computational techniques as you build your toolkit of skills ready to jump right into an in-demand career. Risk management, investment banking, FinTech, hedge funds, data analysis – the graduate employment options are varied.

Learn from mathematical and financial experts with a huge amount of experience – from investment banking to being chief editor of JPhys Complexity. You can even gain new mathematical insights from our four research centres including the impact of statistics and data science in the world today, and much more.

Could you get in?
The grades students arrived with
128-143 pts30%
144-159 pts25%
160-175 pts25%
192-207 pts25%
How they qualified
100% got in with alevel.
alevel100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
100%
Continue past first year
What graduates earn over time
£32,000
3 years on
£39,500
5 years on
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 Queen Mary University of London's own site.
Apply on uni site
Careermash · 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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