Financial Mathematics

Queen Mary University of London · London

Qualification

Degree

Length

4 yrs

UK fees / yr

£9,535

Study

Full-time

Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.

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 pts25%

144-159 pts25%

160-175 pts10%

176-191 pts15%

192-207 pts15%

208-223 pts10%

240+ pts10%

How they qualified

85% got in with alevel. The rest came in a mix of ways:

alevel85%