The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. This will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high'performance computing, distributed ledgers, big'data analytics, and agent'based modelling. These techniques will be used to understand financial markets from a post'crisis perspective which incorporates findings from the study of financial markets at high'frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed'ledgers and crypto'currencies. The programme is highly practical, and students will have the opportunity to apply their learning to real'world data and case studies in hands'on laboratory sessions.
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- 2:1 undergraduate degree (or overseas equivalent) from a related quantitative or informatics discipline.