- an undergraduate degree equivalent to a class 2:1 or higher UK degree in a mathematics-based subject (in a widely understood sense, including certain degrees in science) or
- an undergraduate degree equivalent to a class 2:2 or higher UK degree in a mathematics-based subject (in a widely understood sense, including certain degrees in science) and completing the online pre-sessional course Mathematical Foundations of Quantitative Finance with a final grade of at least 60%.
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.
Months of entry
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.
Qualification and course duration
Course contact details
- Graduate Administrator
- +44 1904 323097