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BSc Financial Mathematics
About this course
Financial mathematics is the application of rigorous mathematical and statistical techniques to the problems of finance, including the pricing of financial instruments, the management of risk, and the optimisation of investment portfolios. It draws on probability theory, stochastic calculus, differential equations, and numerical methods to build models that describe how asset prices evolve, how derivatives can be valued, and how financial risk can be measured and mitigated. The field sits at the intersection of pure mathematical research and high-stakes practical application, and the models developed by financial mathematicians underpin the global derivatives markets and the risk management systems of major financial institutions. At Cardiff University you will study this three-year full-time degree with a typical entry tariff of 120 points. You will build from a rigorous foundation in calculus, linear algebra, probability, and statistics towards the specialised content of financial mathematics, including option pricing theory, portfolio optimisation, interest rate models, and numerical methods for computing financial quantities. You will also develop the programming and computational skills needed to implement these models in practice, which are as important to the modern financial mathematician as the underlying theory. Cardiff's mathematics department has strong research connections and the programme is designed to give you both the theoretical depth and the practical preparation that the financial sector expects. Financial mathematics graduates are among the most sought-after in the labour market. Careers in quantitative finance, risk management, actuarial science, asset management, and financial technology are all natural destinations. The precision of mathematical reasoning and the ability to model uncertainty are skills that financial institutions value highly and compete for. Many graduates also pursue postgraduate study in financial mathematics, mathematical finance, or statistics, which can lead to more specialist research or senior practitioner roles in the industry. The analytical skills developed during this degree also open doors in data science, consulting, and economic analysis.
Syllabus & Modules
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