For more information about Quantitative Finance at City, University of London, please visit the webpage using the button above.
Who is it for?
To successfully complete the Quantitative Finance course, you must have a good understanding of mathematics.
You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.
You should have a general interest in mathematics and statistics, including the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.
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.
If you have been studying in the UK for the last three years it is unlikely that you will have to take the test.
If you have studied a 2+2 degree with just two years in the UK you will be required to provide IELTS results and possibly to resit the tests to meet our requirements.
The required IELTS level is an average of 7.0 with a minimum of 6.5 in the writing section and no less than 6.0 in any other section.
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