Financial Mathematics Bachelor of Science (with Honours) - BSc (Hons)

Why choose this course\
Our Financial Mathematics degrees provide you with the ideal preparation for a career in finance around pricing, risk and markets or in other dynamic, exciting fields including data science and machine learning, tech and software engineering, modelling and research.

* We'll lay the foundations with compulsory modules including introductory economics, calculus and probability and statistics. You'll then develop and enhance your financial mathematics understanding through a range of further modules on stochastic processes, differential equations, derivatives and more.

* Get industry-ready with our award-winning [Professional Training placements](https://www.surrey.ac.uk/professional-training-placements).

* You'll develop skills such as creative problem-solving and logical reasoning, which are in great demand in a wide range of sectors.

* As a mathematics undergraduate at Surrey, you’ll be part of a vibrant and friendly community including the [Maths Society](https://surreyunion.org/your-activity/clubs-and-societies-a-z/maths-society) and [Maths and Statistics Advice](https://my.surrey.ac.uk/study/study-support/maths-and-statistics-advice-masa) (MASA) team. You’ll benefit from a personal tutor, small group teaching, and a lively, research-active learning environment.

* You can get involved in research through a summer internship within our School of Mathematics and Physics.

We’re preparing you for the future by integrating AI into every course, building digital skills, confidence and creativity that employers value in tomorrow’s workplace.

What you will study\
Our unique course is approximately one-third core statistics, one-third mathematics, and one-third economics and finance.

You’ll study topics such as analysis of shares, equities, cash flows and interest rates, and the principles of microeconomics and macroeconomics, while gaining a strong foundation across the fundamentals of mathematics. In Year 1, you will also develop mathematical programming skills using Python, which will be further developed in Year 2, and gain experience with R programming.

In Year 3, you can choose from a broad range of optional modules in topics such as derivatives markets, game theory, mathematical theory of data science and Bayesian statistics.

Since our world-leading research directly informs our teaching, you’ll also learn from academics who are leading their way in their fields.