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Financial Mathematics at City (City St George's, University of London) - UCAS

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Course summary

Interested in learning more about financial market and some of the mathematical techniques which are applied, in particular stochastic modelling? In our MSc in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, learn about different financial securities and how they are used in risk management or asset management. Consequently, emphasis is given to stochastic modelling and simulation techniques. You will also acquire a sound knowledge of econometrics, asset pricing, risk management and key financial securities such as equities, fixed income securities and derivatives. Finally, you will master advance programming skills in Python, Matlab and VBA.


Entry requirements

Upper second class honours degree Your academic background should be in a highly quantitative subject such as mathematics, statistics, physics, engineering, finance, economics or computer science and having covered areas such as statistics, linear algebra and calculus


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Financial Mathematics at City (City St George's, University of London) - UCAS