Financial Mathematics
Financial Mathematics is a discipline that applies the rigour and precision of mathematical thinking to the modelling and analysis of financial systems. It sits at the intersection of pure mathematics, statistics and finance, developing the quantitative tools needed to price financial instruments, manage risk, optimise portfolios and understand the behaviour of markets. In an era when financial decisions of every scale, from household budgeting to the management of sovereign wealth funds, are increasingly supported by sophisticated mathematical models, the demand for graduates who combine genuine mathematical competence with financial understanding has grown substantially.
At Brunel University London, this full-time three-year programme includes an optional foundation year, providing a supported route into degree-level mathematical study for students who need to build their quantitative foundations before progressing to the main degree content. You will advance your problem-solving skills, develop your mathematical reasoning and build the analytical thinking that underpins careers across a wide range of commercial, industrial and technological fields. The financial mathematics content develops your understanding of how mathematical models are applied to the pricing of derivatives, the management of financial risk and the analysis of economic data.
Financial Mathematics graduates are consistently in demand in financial services, including investment banking, asset management, insurance and actuarial science. Quantitative analyst (quant) roles, which involve building and applying mathematical models in financial contexts, are a particularly prominent destination, as are roles in risk management, financial regulation, fintech and economic consultancy. Many graduates pursue professional qualifications in actuarial science, chartered accountancy or financial risk management, and postgraduate study in financial mathematics, mathematical finance or statistics provides the route to more specialist quantitative roles.