About Quantitative Finance, MSc - at City St George's, University of London

You'll study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives.

From there you'll progress to specialist learning in econometrics, and cover a large amount of stochastics and numerical methods.

You'll cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data.

You will also have the opportunity to work with a number of different estimation techniques, including OLS, Maximum Likelihood and GMM.

You'll work extensively with the Matlab programming language in the core modules alongside other languages such as VBA, Python or C as optional modules.

You'll choose five from around 40 optional modules in your final term. You can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter 'applied research project', which is the equivalent of two optional modules.

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Entry requirements for this course

Contact City St George's, University of London to find course entry requirements.

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