2:1 (upper second class honours degree or international equivalent) in mathematics, physics or engineering. A strong mathematics background is essential.
Months of entry
Financial mathematics is a branch of mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace.
Effective computational methods are crucial for the successful use of mathematical modelling in finance. The MSc in Financial and Computational Mathematics is designed to reflect this combination of knowledge and skills so that its graduates are well equipped to enter the competitive job markets of quantitative finance and related fields.
The course is focused on computational techniques and mathematical modelling used in the financial industry and on the required background in finance. Optional modules also equip graduates with foundations of data analytics. The course is provided by the School of Mathematical Sciences with valuable input from the School of Economics. To ensure that the degree keeps pace with changes in employer expectations and employment opportunities, the course has its own advisory board which consists of leading experts from the financial industry and academia.
Applicants should have a solid background in mathematics including calculus, linear algebra, ordinary differential equations and basic techniques used in probability and statistics.
Qualification and course duration
Course contact details
- Postgraduate Enquiries
- +44 (0)115 951 5559