MSc Computational Financial Technology at Durham University

Using the latest scientific computing and data analysis techniques, explore the mathematical principles behind modern financial markets, stochastic modelling, and the computational opportunities for these systems. Developments in fields such as finance, physics and engineering are increasingly driven by experts in computational techniques. The financial services sector has always been at the forefront of data analytics, and those with the skills to write code for the most powerful computers in the world and to process the biggest data sets can give a company a competitive edge.

Faculty: Faculty of Science  |  Department: Computer Science  |  Duration: 1 year full-time  |  Study mode: full-time  |  Intake: September 2027  |  Location: Durham, England, United Kingdom

What you will study

The specialist qualification in Financial Technology introduces you to the mathematical principles behind modern financial markets and elements of programming and communication in the context of the financial industry. Financial technology draws on tools from probability theory, statistics and mathematical modelling, and is widely used in investment banks, hedge funds, insurance companies, corporate treasuries and regulatory agencies to solve such problems as derivative pricing, portfolio selection and risk management. Compulsory modules include Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, Professional Skills, Project, Advanced Financial Technologies, Financial Mathematics.

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