BSc(Econ) Economics, Statistics and Mathematics
About this course
Economics, statistics, and mathematics is a combination built for anyone who wants to understand the world through data and quantitative reasoning. Economics provides the theoretical frameworks to analyse markets, resource allocation, inequality, and growth. Statistics gives you the tools to handle uncertainty, build models from real data, and draw reliable conclusions from evidence. Mathematics underpins both, developing the precision and logical rigour that quantitative analysis demands. Together they form a degree that is technically demanding and intellectually serious, oriented towards the kind of problems where clean thinking and careful analysis genuinely matter. At Queen Mary University of London this four-year full-time programme develops your ability to apply quantitative techniques to real-world challenges across economics and beyond. You will study economic theory at both micro and macro level, statistical inference and modelling, and the mathematical foundations that support both disciplines. The degree is designed for students who are genuinely fascinated by data and by what it can reveal about the world, and who want the technical toolkit to investigate those questions at a high level. The typical entry tariff of 168 points reflects the mathematical demands of the programme. You will develop strong quantitative skills alongside the economic reasoning needed to interpret what your analysis means in the real world. The ability to work rigorously with data and to communicate findings clearly is valuable across an exceptionally wide range of careers. Graduates go on to work in finance, investment management, economic consultancy, central banking, data science, actuarial roles, government economic analysis, and international organisations. The degree provides excellent preparation for postgraduate study in economics, econometrics, statistics, finance, or data science, and many graduates enter highly competitive analytical graduate programmes in the public and private sectors.
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