BSc Statistics, Economics and Finance
About this course
Statistics, economics, and finance is a powerful triple combination designed for students who want to develop rigorous quantitative skills alongside deep understanding of economic behaviour and financial markets. Statistics provides the mathematical toolkit for extracting meaning from data and quantifying uncertainty. Economics furnishes the theoretical frameworks for understanding how markets, firms, and governments behave. Finance applies and extends both to the analysis of investments, asset pricing, risk, and the operation of financial systems. Together, these three disciplines produce graduates with an unusually strong and versatile set of analytical capabilities. At University College London, this three-year full-time programme takes you through probability theory, statistical inference, and data modelling alongside core microeconomics, macroeconomics, and econometrics, then extends into financial economics, asset pricing, derivatives, and the mathematics of financial markets. The curriculum is mathematically demanding, requiring facility with calculus, linear algebra, and probability, and it builds towards the kind of sophisticated quantitative analysis used by economists, financial analysts, and data scientists in professional settings. UCL's location in London and its connections to the financial and analytical sectors provide a rich professional context for this quantitative education. Graduates from this programme are highly sought after in finance, investment banking, asset management, insurance, economic consultancy, the civil service, central banking, and data-intensive roles across industry and the public sector. The combination of statistical and economic training makes graduates particularly effective as analysts, modellers, and researchers in environments where quantitative reasoning is central to the work. Many go on to postgraduate study in economics, finance, statistics, or related fields such as financial mathematics or machine learning, where the technical foundation provided by this degree is a significant advantage.
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