Mathematics and Finance

Mathematics and finance is a combination that reflects the deep mathematical foundations on which modern financial theory is built. Probability theory underpins derivative pricing; optimisation theory underpins portfolio management; and statistical methods are at the heart of risk analysis. Finance without mathematical rigour can produce dangerously imprecise results; mathematics in this context has direct and consequential practical applications.

Students who develop both in parallel emerge with a genuinely powerful analytical toolkit.

At York you will study the core areas of mathematics, including calculus, algebra, probability, statistics, and numerical methods, alongside the theory and practice of finance. Financial study covers corporate finance, investment theory, financial markets, risk management, and the quantitative methods that modern financial analysis employs. The programme builds strong analytical, empirical, and interpretive skills, and it does so in a way that is grounded in the real questions that financial markets and institutions need to answer.

The three-year full-time programme includes a sandwich placement year with a work placement, giving you the opportunity to apply your mathematical and financial skills in a real professional environment before you graduate.

Graduates go on to careers in investment banking, asset management, risk management, insurance, financial analysis, consultancy, and quantitative finance more broadly. The combination of mathematical rigour and financial knowledge makes graduates from this programme particularly attractive to employers in the City and in financial institutions worldwide. Those who want to develop further can pursue postgraduate study in financial mathematics, quantitative finance, economics, or statistics, which provide the depth needed for the most technically demanding roles in the industry.