Overview
Introduction
The business world is increasingly dominated by data. So, there’s a real demand for graduates with the right mathematical and statistical skills who can make sense of this data. This BSc in Financial Mathematics and Statistics meets that need.
Taught jointly by the departments of Mathematics and Statistics, this degree provides a solid grounding in financial mathematics and statistics as well as exploring the interrelationships between these two complementary disciplines.
You’ll develop your theoretical knowledge and learn about mathematical and statistical methods and techniques in finance. At the same time, you’ll explore financial risk management, financing and investment decisions alongside topics such as pricing, derivatives, hedging and optimisation.
Our graduates progress to careers in finance, accounting and other areas where quantitative analysis and data handling are critically important.
Preliminary readings
Mathematics as it is applied in economics and finance
- M Anthony and N Biggs Mathematics for Economics and Finance (Cambridge University Press, 1996)
Economics
- T Harford The Undercover Economist (Oxford University Press, 2006)
Mathematics
Much of university level mathematics is concerned with formal proofs and rigorous mathematical argument, and this is necessary for some of the advanced mathematics required in finance, economics, and other fields of application. For an introduction, we recommend:
- L Alcock How to Study for a Mathematics Degree (Oxford University Press, 2013)
- R Allenby Numbers and Proofs (Butterworth-Heinemann, 1997)
- A Dilnot The Tiger That Isn't: Seeing Through a World of Numbers (Profile books, 2007)
- P Eccles An Introduction to Mathematical Reasoning (Cambridge University Press, 1997)
- T Gowers Mathematics: a very short introduction (Oxford University Press, 2002)
- D Hand Statistics: a very short introduction (Oxford University Press, 2008)
- M Liebeck A Concise Introduction to Pure Mathematics (Chapman & Hall/CRC Mathematics, 2005)