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The Computational Finance MSc will introduce students to the computational methods that are widely used by practitioners and financial institutions in today’s markets. This course 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 course
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2:1 undergraduate degree from a related quantitative or informatics discipline.
In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
Applicants should also provide evidence of studying calculus, linear algebra, programming and other related modules.
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King's College London is home to over 11,700 postgraduate students and attracts some of the best academic minds in the world. King’s is ranked a top 10 university in the world by the 2020 QS World University Rankings and we are recognised for the global influence of our research and innovation.Read more
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