MSc Financial Mathematics

• A UK upper second class degree or above, or the equivalent from an overseas institution.
• Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus.
• Work experience is not a requirement of this course.

Course Syllabus

You may be requested to provide a syllabus of specific modules undertaken during your studies as part of the assessment process. This is not required at the point of submitting an application and will be requested directly by the admissions team only if required as part of the assessment.

See our website for fees

Recent graduates have taken up positions in:

• Analyst – Sales and Trading – J.P. Morgan
• Analyst – Equity capital markets – Citi Bank
• Analyst – Equity capital markets – Birch Faraday Capital
• Quantitative Analyst – Validus Risk Management
• ETF/ETP Data Analyst – ETFGI

What will you learn

• You will gain a very good understanding of the technical aspects used in financial markets, including wide ranging financial theory and different financial assets.
• You will gain a sound knowledge of stochastic modelling and mathematical finance, and also a good understanding of econometrics and programming, in particular Python and Matlab.
• From the MSc Financial Mathematics you will also understand how the theory is being applied in the financial industry and what practical issues are.
• In the third term you have three different options how you can complete your MSc, including a project or choosing only electives. Popular electives include Modelling and Data Analysis, Advanced Financial Engineering and Credit Derivatives, Credit Risk Management, Quantitative Risk Management. Introduction to Python.

See our website for current modules