Economics, Finance and Data Science

Economics, finance, and data science is a degree for students who want to understand not just how economies and financial systems work but how to extract rigorous insights from the large and complex datasets that now characterise both fields. Economics provides the theoretical framework for understanding markets, policy, and the allocation of resources. Finance develops the tools for analysing investment decisions, pricing risk, and understanding the behaviour of financial markets.

Data science adds the computational and statistical methods needed to work with the scale and complexity of modern economic and financial data.

At Imperial College London, this three-year, full-time BSc is described as a first-of-its-kind degree, reflecting the novelty of integrating all three disciplines at a serious level in a single programme. You will study economic theory, financial economics, statistics, programming, and machine learning alongside their applications to real economic and financial problems. Imperial is one of the world's leading science and technology universities, and the programme reflects that rigorous quantitative environment.

The typical entry tariff of 200 points reflects the high academic standards required for a demanding programme at a prestigious institution.

Graduates of economics, finance, and data science are among the most sought-after in the labour market. Financial institutions, economic research organisations, technology companies, government economic departments, and consulting firms all need graduates who can combine economic reasoning, financial analysis, and data science capability. Roles include quantitative analyst, financial economist, data scientist, risk modeller, and economic policy analyst.

Many graduates also go on to postgraduate study or doctoral research in economics, financial mathematics, or data science, developing specialist expertise for research or advanced professional roles where the combination of all three disciplines is particularly powerful.