This programme focuses on the mathematical and statistical methods relevant to financial markets, and the skills and knowledge needed to apply them in practice.
You will gain knowledge of advanced finance concepts while developing quantitative, mathematical and research skills. The programme covers key topics including financial derivative pricing, discrete and continuous time models, risk management and portfolio optimisation, as well as statistical methods for finance.
This Masters is ideal if you have previously studied accounting and finance, economics, mathematics, physics or computing, and are interested in gaining an understanding of how your skills can be applied to financial markets.
It is also an excellent qualification if you are seeking to pursue further postgraduate study, and is recognised by the Engineering and Physical Sciences Research Council (EPSRC).
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.
We help you to achieve your career ambitions by providing professional development support as part of the Masters programme.
The deadline for UK/EU applications is 31 August 2016.
The deadline for International applications has now closed for 2016 entry.
For further guidance on how to apply, visit: http://business.leeds.ac.uk/masters/how-to-apply/
Our Masters Open Days for this academic year have now finished and the next schedule of events will be announced later on in the year. If you would like to receive email updates on upcoming events please sign up to our newsletter: http://business.leeds.ac.uk/newsletter/
You should have a good first degree (2:1 or higher) in a relevant subject e.g. accounting, finance, economics, mathematics, physics or computing.