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This programme is designed to equip students with the skills needed for a successful career in the more quantitative areas of banking and financial markets, or in financial mathematics research.
You will gain a clear understanding of the financial industry, together with a range of mathematical computational techniques that form an important part of the toolkit of a typical practitioner.
The programme structure is set up to allow students to specialise in a specific area (or stream), depending on your background, interests and future plans.
Investment Management and Data Analytics StreamFinancial services companies, such as investment managers, investment banks, alternative asset managers, family offices, wealth managers, trading firms and fintech start-ups, are seeking finance experts who can use mathematical and statistical techniques and the latest technologies to extract clear insights from financial markets and for other strategic operations.
Investment Banking and Risk Management StreamInvestment banks, investment managers and financial consulting firms, are continuously seeking finance experts who can use mathematical, statistical, and computational skills to assess, model, and hedge risk. In this stream, you will learn the core mathematical, statistical and computational skills of the typical risk practitioner.
Quantitative Pricing, Development and Research StreamThis stream is for you if you are planning a career in the more quantitative areas of banking and financial markets, financial computing, fintech or if you hope to undertake academic research in financial mathematics.
In Semester A, you will take four compulsory modules.
In Semester B, you can choose four modules from a wide number of elective modules.
In Semester C, you will work on your dissertation.
Learn more about our modules
We offer all students the opportunity to take the prestigious Microsoft Office Specialist qualification
You will have the option to take the Bloomberg Market Concepts qualification, and will have access to Bloomberg terminals in our Computing Lab