Economics and Statistics

Economics and statistics is a powerful combination for those who want to understand not just economic theory but the empirical methods needed to test it. Economics provides the conceptual frameworks for analysing how individuals, firms, and governments make decisions and how markets and macroeconomies function. Statistics provides the mathematical tools to collect, analyse, and draw inferences from data, allowing economists to examine real-world evidence and evaluate whether theories hold up in practice.

As economic policy-making, financial decision-making, and business strategy have all become increasingly data-driven, the ability to combine economic reasoning with statistical rigour is exceptionally valuable.

At University College London, this three-year full-time programme is taught within one of the world's leading economics and statistics departments. You will study both microeconomics and macroeconomics at a rigorous mathematical level, alongside probability theory, statistical inference, regression analysis, and econometric methods that are the standard tools of applied economic research. The programme develops your capacity to formulate economic questions, design appropriate empirical approaches, and interpret results with appropriate caution and precision.

UCL's location in London provides excellent connections to the financial, governmental, and international organisations where economics and statistics graduates are most sought.

Graduates pursue careers in economic consultancy, financial services, investment management, central banking and government economic departments, international organisations such as the IMF and World Bank, and data science roles in the technology sector. Academic research and postgraduate study in economics, statistics, or financial mathematics are common for those who wish to develop specialised expertise. The combination of economic understanding and quantitative skill is among the most highly valued in the graduate labour market, and UCL graduates in this subject are recruited actively by competitive employers across multiple sectors.