Mathematics with Finance

Mathematics with finance is a degree that responds to the escalating need for graduates with a robust mathematical background and a keen understanding of the intricacies inherent in financial markets, financial modelling, and corporate finance. Modern finance is a mathematically demanding field, drawing on probability theory, stochastic calculus, optimisation, statistics, and numerical methods to price assets, manage risk, and make investment decisions. This programme combines a rigorous education in mathematical theory and practice, developing expertise across pure and applied mathematics, statistics, and computational mathematics, with courses in all the key areas of modern finance taught by discipline experts.

At Heriot-Watt University, this four-year full-time BSc is taught within Edinburgh Business School and the Department of Mathematics, two strong departments whose expertise is directly reflected in what you study. You will develop deep mathematical understanding of analysis, algebra, probability, statistics, and computational methods alongside finance content covering investments, corporate finance, financial markets, risk management, and financial modelling. Graduates will be able to contribute at the highest level to financial analysis and decision making.

As a major financial centre, Edinburgh offers excellent connections to the financial services industry, and Heriot-Watt's international reputation adds to the career advantages the degree provides.

With a typical entry tariff of 168 UCAS points, this is a competitive programme combining mathematical rigour with direct professional relevance. Graduates pursue careers in investment banking, asset management, quantitative analysis, risk management, actuarial work, financial technology, derivatives pricing, economic consultancy, and data science roles where mathematical and financial skills intersect. Professional qualifications through bodies such as the Institute and Faculty of Actuaries, the CFA Institute, or the Financial Risk Manager certification are also pursued by many graduates.

Others continue to postgraduate study in financial mathematics, mathematical finance, statistics, or data science.