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BSc Mathematics and Finance
About this course
Mathematics and Finance at City St George's, University of London, is designed for students who want to combine a solid grounding in mathematical theory with the specialist expertise in finance and actuarial science that some of the most demanding professional roles require. Modern financial markets depend on mathematics: derivatives are priced using stochastic calculus, risk is managed through statistical models, portfolios are optimised using linear algebra, and insurance products are designed using probability theory. A degree that develops both mathematical rigour and financial application is consequently one of the most powerful combinations available to aspiring professionals in these fields. The three-year full-time BSc develops your mathematical skills in areas including calculus, probability, statistics and numerical methods, alongside the financial theory of investment, risk management, corporate finance and actuarial mathematics. You will learn to model financial problems mathematically, to interpret the outputs of those models and to communicate your analysis clearly. The degree includes a sandwich year and a work placement, giving you the opportunity to develop professional experience in the financial sector before graduation. City's location in London, one of the world's leading financial centres, is a significant asset: employers in investment banking, insurance, asset management and consultancy are close at hand. Graduates work in investment banking, actuarial practice, risk management, asset management, financial consulting, quantitative research and the technology sector. The degree provides a strong foundation for professional qualifications with bodies such as the Institute and Faculty of Actuaries or the Chartered Financial Analyst Institute. Postgraduate study in financial mathematics, actuarial science or economics is a natural continuation.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 60 respondents (62% response rate)
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