Financial Mathematics is a multidisciplinary field that involves the application of economic theory, mathematics, statistics and computer programming skills, to analyse and manage financial opportunities. Our MSc Financial Mathematics will help you develop your understanding of mathematical models and their application in the financial sector, whilst providing the opportunity to develop skills that are highly valued by employers in the financial services sector.
WHY CHOOSE OUR PROGRAMME?
- This programme will support you to achieve advanced knowledge in mathematical finance, including developing essential computational and programming techniques. It will allow you to advance quickly in a field where there is a growing global shortage of highly qualified people
- You will develop your ability to apply mathematical and scientific knowledge to financial analysis, identifying, critically analysing and evaluating scenarios within the sector
- You will learn to use software packages to analyse financial data and to implement numerical models
- We will train you to develop skills in independent study, research, and knowledge application. These are skills which are essential for future roles as a financial or quantitative analyst
HOW WILL YOU BE TAUGHT?
You will take 60 taught credits of Masters-level courses in each of Semester 1 and Semester 2. Core modules will develop your understanding of scientific programming, and skills in advanced mathematical modelling within finance. You will take 60 credits of optional modules across economic, mathematical and financial topics to allow you to shape your degree to meet your career aims.
You will also undertake a 60-credit summer dissertation, working with research leaders in mathematics. This will provide directly relevant training for a future career in academia or as a quantitative analyst within the financial services sector.
GRADUATE CAREER DESTINATIONS:
- Metrocombank
- Ernst & Young
- BDO Limited
- University of Birmingham
Financial Mathematics MSc – 1 year full-time
What will you study?
This programme aims to provide students who possess a strong existing undergraduate background in mathematics with a specialisation in financial mathematics. Students pursuing it as a terminal MSc degree will gain the technical skills to work in quantitative financial analysis. Those intending to pursue further research in financial mathematics will gain the technical and research skills to do so.
Financial mathematics is a highly specialised and rapidly growing area requiring a strong mathematical background alongside appropriate training in finance and computer programming. This MSc degree in Financial Mathematics is both technical and practical.
Taught modules covered will include: Stochastic Processes, Machine Learning and Intelligent Data Analysis, Advanced Mathematical Finance, and Risk Analysis and Management. You will also have the chance to choose optional modules such as: Mathematical Finance, Nonlinear Programming, Numerical Methods and Numerical Linear Algebra, and Statistical Methods in Finance and Economics.