Mathematics, Statistics and Business

Mathematics, statistics, and business may seem like an unusual combination, but they represent a natural union for anyone who wants to understand the world of commerce and organisations through rigorous quantitative methods. Pure mathematical thinking develops logic, abstraction, and problem-solving capacity. Statistics provides the tools to make sense of data, to model uncertainty, and to draw reliable conclusions from evidence.

Business applies these capabilities in the context of real markets, organisations, and economic decisions. Together they form a degree oriented towards genuine analytical depth in practical settings.

At the London School of Economics and Political Science this three-year full-time programme provides a thorough grounding in the practical application of mathematical and statistical theory in the business world. LSE is one of the world's leading institutions for the social sciences and is particularly strong in economics, statistics, and finance, so the environment you will study in is shaped by serious scholarly engagement with these fields. The course includes a year abroad, broadening your international perspective and giving you the opportunity to study alongside students and faculty from other leading institutions.

The typical entry tariff of 168 points reflects the highly competitive nature of entry to this programme.

You will develop quantitative rigour, the ability to build and interpret statistical models, and the analytical thinking needed to address complex business problems, alongside the broader critical awareness needed to place quantitative findings in their proper economic and organisational context.

Graduates go on to work in finance, investment banking, management consulting, actuarial science, data analytics, economic research, and risk management. The degree is also an excellent foundation for postgraduate study in statistics, econometrics, finance, management, or economics, and many graduates move into highly competitive graduate programmes in industry and the public sector.