Economics and Mathematics and Statistics
Economics, mathematics and statistics form a combination that sits at the rigorous, quantitative end of social science, equipping you with both the theoretical frameworks for understanding how economies function and the mathematical tools to analyse them with precision. Economists use mathematics to build models of market behaviour, monetary policy, trade and growth; statisticians provide the methods for extracting reliable conclusions from data. Together, the three disciplines develop a form of analytical intelligence that is among the most valued in the contemporary job market.
At the University of Strathclyde, this four-year full-time programme trains you to work at the intersection of all three, building the quantitative depth that employers in finance, government, consulting and research consistently seek.
You will study microeconomics and macroeconomics at a level that demands real mathematical competence, alongside probability theory, statistical inference, regression analysis, time series methods and econometrics. The programme develops your ability to formulate economic questions in mathematical terms, apply statistical techniques to real data and interpret the results with appropriate rigour. Strathclyde's economics and mathematics departments both have strong research profiles, and you will benefit from teaching rooted in active scholarship.
A typical entry tariff of around 200 points reflects the demanding nature of the programme.
Graduates from this combination are sought after by investment banks, asset managers, central banks, HM Treasury, the Office for National Statistics, economic consultancies and international organisations including the IMF and World Bank. Roles in quantitative analysis, economic modelling, financial risk management, data science and policy research are all well within reach. Many graduates also progress to postgraduate study, including MSc programmes in economics, finance, statistics or data science, and a significant number go on to doctoral research in economics or related quantitative fields.