Econometrics and Mathematical Economics

Econometrics and mathematical economics is one of the most technically demanding and professionally rewarding degrees available in the social sciences. Econometrics is the application of statistical and mathematical methods to economic data, allowing economists to test theoretical models against real-world evidence, estimate the effects of policies, forecast future trends and answer causal questions about how economic phenomena are related. Mathematical economics uses formal mathematics to develop rigorous theories of how economies and markets function.

At the London School of Economics, the three-year full-time BSc develops your expertise in both disciplines to a high standard, with particular emphasis on preparing you for professional and research careers where quantitative economic analysis is central. You will study advanced probability and statistics, regression analysis, time series methods, panel data techniques and the mathematical foundations of economic theory. The degree is demanding, and the LSE context means you will be studying alongside some of the most able students in economics anywhere in the world.

A year abroad is available, reflecting the international character of the discipline.

LSE's position as one of the world's leading institutions in economics and the social sciences, its location in London and its alumni network provide exceptional professional connections and career opportunities.

Graduates of econometrics and mathematical economics are among the most sought-after in the labour market. Central banks, investment banks, hedge funds, economic consultancies, government analytical departments, international organisations and technology companies all compete for graduates with this combination of skills. Postgraduate study in economics, financial mathematics or statistics is a natural route for those who want to pursue research or highly specialist technical careers.