MSc Financial Mathematics


This masters programme is taught at the Streatham Campus in Exeter, UK.

Programme overview

Quantitative financial methods are one of the fastest growing areas of the present day banking and corporate environments. The solution by Black, Scholes and Merton of the option pricing problem set off a revolution in finance resulting in the introduction of sophisticated mathematical techniques in the financial markets and corporate planning.

To understand, apply and develop these sophisticated methods requires a good understanding of both advanced mathematics and advanced financial theory. By combining the financial expertise in the University of Exeter Business School with the College's expertise in mathematics, this intensive MSc programme, available over 9 or 12 months, will prepare you for careers in areas such as international banking or international business. For those with a strong mathematical background, and a wish to pursue a finance career, this programme is the ideal introduction to this exciting field.

The University of Exeter offers an excellent course in Financial Mathematics and is one of the few universities which provide an opportunity to choose modules from both Mathematics and Finance. Students are allowed to focus their research on mathematics or on business aspects according to their interest which I think is really good.

The facilities are world class, teaching is excellent and it is a joy to pursue my course.  Faculty members are highly qualified and really supportive. Exeter learning environment (ELE), the online learning system at Exeter is one of the best of its kind. There are loads of opportunities from the different societies and clubs in the University to keep you occupied. The sporting facilities in particular are top notch. 

I want a career in financial services and am preparing myself for the same. My finance and maths skills have developed through the programme. Although away from London, the opportunities at Exeter are no way inferior. The University attracts all major employers and I hope to build a successful career through these opportunities.

Raghuram Hosabettu Kamalesha
MSc Financial Mathematics

The MSc Financial Mathematics programme is fast paced. It is stimulating and intellectually demanding and you should be prepared to work on multiple projects/assignments at a time under tight deadlines.

I would recommend this programme to people with a strong mathematics background and who have an interest in the finance industry. My advice to prospective students is start learning Matlab now, if you are not already familiar with it, since it is the main programming language used for this MSc.

At Exeter, I not only received the finest training available, but I also studied in an environment that encouraged my best work.

Raphael Karikari, Ghana
MSc Financial Mathematics

This dynamic programme looks at one of the fastest growing areas of the financial and banking industries in the modern world.

The programme has been running for around 5 years and has gone from strength to strength, proving to be increasingly popular year on year providing an exciting, dynamic feel within the programme. It combines the expertise that is available through the University’s Business School with Mathematics experts in the College of Engineering, Mathematics and Physical Sciences.

This is an intensive programme, available to study over either 9 or 12 months. You can either do a 9-month option within the College of Engineering, Mathematics and Physical Sciences, a 12-month pathway also within the College, or a 9-month option that runs in conjunction with the Business School. All options have a range of compulsory modules that need to be adhered to, and there is also an assessment module which centres around a dissertation.

Above all, you will be taught by some of the very finest experts in their field anywhere in the world, who will bring their research and findings to the programme so that you can become fully involved as the field expands and develops.

Dr Mark Holland, programme lead.