Leeds University Business School

MSc Financial Mathematics

URLbusiness.leeds.ac.uk/masters/msc-financial-mathematics/
Description

Engineering and Physical Sciences Research Council (EPSRC) recognised.

Our MSc Financial Mathematics gives you access to highly qualified, experienced academic staff in quantitative finance and financial mathematics. You learn about advanced finance concepts while developing quantitative, mathematical, analytical and research skills – these can be directly applied to the professional environment and are valued by employers in financial markets across the globe.

This unique programme combines finance and mathematics modules to provide you with the best of both worlds. Topics covered include financial derivative pricing; discrete and continuous-time models; risk management; portfolio optimisation; statistical methods for finance, insurance, corporate finance; financial market microstructure; and computer programming. You are taught jointly by our School of Mathematics and Business School specialists researching in the field.

Careers

You have various opportunities open to you as a Financial Mathematics graduate, including: quantitative analysis, risk management, investment banking, financial consultancy, life/ non-life insurance, accounting and academia.

Graduates have gone on to secure employment with Allianz (London), AstraZeneca, Barclays, Cathay Life Insurance, CITIC Group, Commerzbank, Deloitte, First Direct, Gaz de France, HSBC, KPMG, Moody’s, PricewaterhouseCoopers, Royal Bank of Scotland, RSA and UKGovernment Actuary’s Department.

Teaching ModeFull Time
LanguageEnglish
Academic RequirementsNo academic background in business or economics required
Tuition Fees

UK/EU £9,000 International £18,000 (2013 fee)

There are numerous scholarships available for UK, EU and International students. Further details can be found on our website.

BeginSeptember
Length12 months
Application Procedure

You should have a good first degree (2:1 or higher) in a relevant subject e.g. accounting, finance, economics, mathematics, physics or computing.