Our exciting and intensive MSc in Mathematical Finance will give you the skills you need to work in the financial sector and adapt quickly to new developments in the field.

Join an established course which has been serving students for over a decade. Our team of dedicated academic staff are leaders in their field. They publish definitive textbooks with Cambridge University Press and Springer, introducing stochastic processes and mathematical finance to crucial modern concerns such as credit risk.

Our course features on RiskNet.

If you'd like to study this course but feel the need to revise and consolidate your mathematics background before starting, we offer an online pre-sessional course: Mathematical Foundations of Quantitative Finance.

Assessment and feedback

All taught modules are assessed by a combination of the following types of assessment:

• Closed book written exam
• Coursework
• Projects
• Presentations

The closed book written exam assesses your subject-specific knowledge through theoretical and practical questions, in an array of targeted and broad, open-ended problems. These require topic knowledge and the ability to recognise, compare and critically evaluate different knowledge areas.

The coursework and projects consist of problems and practical tasks that might require the use of software. You'll develop your subject knowledge and analytical skills as well as your ability to apply, implement and interpret theory.

Presentations are specifically designed to enhance your communication skills for a range of audiences, from subject experts to the public.

In the independent study module, you'll conduct a piece of applied research. You'll continue to develop your critical reasoning and digital literacy skills, including programming. As this module is assessed with a dissertation, your training is rounded off by consistently working on your written communication skills.

Careers and skills

Upon successful completion of this course, you 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.

Career opportunities

• Financial analyst
• Accountant
• Credit risk manager
• Investment manager
• Risk analyst
• Statistician