Economics and Mathematics

Economics and mathematics is one of the most rigorous and versatile degree combinations available, developing both the formal mathematical skills needed to handle complex quantitative problems and the economic theory needed to understand how markets, incentives, and institutions shape outcomes for individuals and societies. Mathematics provides the language of modern economics: without calculus, linear algebra, probability, and statistics, the most important models and methods in economics are simply inaccessible. Together, the two disciplines equip you with the tools to address some of the most significant questions facing governments, businesses, and societies in a data-driven world.

At Durham University, this BSc develops your knowledge of core economic theory and high-level mathematics and statistics, while also engaging with the challenges of real-world data. You will study microeconomics, macroeconomics, econometrics, and a range of applied topics alongside pure and applied mathematics, developing the rigour and versatility to work at the intersection of both fields. The programme emphasises the development of practical decision-making tools alongside the theoretical understanding that underpins them.

The degree includes a sandwich year, a year abroad, and a work placement, giving you substantial professional and international experience alongside your academic studies. The sandwich placement allows you to apply your skills in a professional setting, while the year abroad deepens your comparative perspective and builds the international adaptability that careers in economics and finance increasingly require.

Graduates from economics and mathematics degrees are among the most sought-after by employers across many sectors. Common career paths include financial analysis, investment banking, economic consultancy, actuarial work, data science, government economic analysis, and quantitative research in asset management and trading. Many graduates also pursue postgraduate study in economics, financial mathematics, statistics, or data science.

The combination of economic and mathematical rigour is particularly powerful in any context where large datasets and complex modelling are central to decision-making.