Economics Statistics and Mathematics
Economics, statistics, and mathematics is a degree that equips you with some of the most powerful quantitative tools available for understanding the world. Economics provides the conceptual frameworks for analysing how individuals, firms, and governments make decisions under conditions of scarcity and incentive, and how those decisions aggregate into market outcomes, growth, inequality, and policy challenges. Statistics gives you the methods to collect, analyse, and draw reliable conclusions from data.
Mathematics provides the rigorous foundation on which both disciplines rest, developing the logical and analytical thinking that underpins serious quantitative work.
At Queen Mary University of London this three-year programme combines all three disciplines, preparing you for roles where quantitative techniques are applied to real-world challenges. You will develop skills in econometrics, probability, statistical inference, mathematical modelling, and data analysis, learning to use these tools to address questions drawn from economic, social, and policy contexts. The emphasis on applying quantitative techniques to genuine problems means you graduate with practical competence as well as theoretical depth, and the rigour of the mathematical training ensures you understand what your analyses are actually doing.
Graduates from programmes combining economics, statistics, and mathematics are in high demand across finance, consulting, data science, public policy, economic research, and technology. The combination is particularly valued in roles that require quantitative modelling and careful interpretation of data, including economic analysis, financial risk management, statistical consultancy, and academic research. Many graduates pursue professional qualifications in finance, accounting, or data science alongside or after their degree, while others go on to postgraduate study in economics, statistics, data science, or related fields.
The breadth of the skill set makes graduates genuinely versatile across a wide range of analytical and decision-making roles.