This exciting and intensive one-year taught postgraduate programme has been established for over a decade. It is taught by a team of dedicated academic staff who are leaders in their field, publishing definitive textbooks with Cambridge University Press and Springer, ranging from introductions to stochastic processes and mathematical finance to crucial modern concerns such as credit risk. In a typical year the class consists of around 15-20 students, from a number of different countries, with many classes taught in our dedicated new lakeside Master's Study Centre.
Our programme features on Risk.Net
The Department of Mathematics, the University of York, and the historic City of York provide a uniquely attractive environment in which to live and study.
On this MSc programme you will develop skills and competence in Mathematical Finance which are of direct relevance in the field of work. For details of the modules currently offered please see Programme Structure. If you are unable to commit yourself to full-time campus-based study and would prefer to study by online distance learning then please visit the MSc in Mathematical Finance by Online Distance Learning.
The MSc in Mathematical Finance opens up fantastic employment opportunities to successful graduates in:
Graduates can embark on careers in trading and pricing derivative financial securities (options, futures, forwards, and the like), fund management, risk management, research and development, or pursue further study to PhD level. Here is more information about career opportunities and alumni.
If your undergraduate degree is in business, finance or economics with sufficiently strong mathematics background (equivalent to at least two years of university level mathematics courses), then we encourage you to apply also. We welcome students with recent degrees as well as those with work experience in related disciplines and professions.
International students will also need to demonstrate a good command of English by meeting the criteria under Language Requirements.