Finance & Statistics

Finance and statistics is a combination of two disciplines that have become increasingly intertwined in modern financial practice. Finance, as the current description notes, is the study of the theory and practice of financial decision-making: how capital is raised and allocated, how risk is valued and managed, how investments are appraised, and how financial institutions and markets function. Statistics is concerned with drawing objective conclusions from data where outcomes are subject to uncertainty or variability, a description that captures exactly why it is so important to finance, where almost every decision involves forecasting under uncertainty and evaluating evidence from noisy data.

At the University of Glasgow, this four-year full-time programme develops genuine depth in both subjects, allowing you to engage seriously with financial theory, quantitative methods, and the statistical tools that are central to modern finance and investment analysis. In your finance studies, you will cover corporate finance, investment theory, portfolio management, derivative pricing, risk management, and financial markets. In statistics, you will develop expertise in probability theory, statistical inference, linear and multivariate models, time series analysis, and computational statistics.

The combination allows you to approach financial questions with an unusually strong quantitative foundation, and to apply statistical methods with genuine understanding of the underlying theory rather than as black-box tools.

The programme includes a year abroad, giving you the opportunity to study at a partner university and engage with finance and statistics in a different academic environment. Glasgow's reputation in both finance and mathematics supports strong connections with financial services and research communities.

Graduates from finance and statistics programmes are exceptionally well positioned for quantitative careers in financial services. Roles in quantitative analysis, risk management, actuarial science, financial modelling, investment management, data science in financial contexts, and financial research are all natural directions. Postgraduate study in statistics, financial mathematics, quantitative finance, or data science supports those seeking highly specialist careers or research roles.