BSc Mathematics and Economics
About this course
Mathematics and economics is one of the most powerful combinations available at degree level. Economics is the discipline concerned with how individuals, firms, and governments make decisions in conditions of scarcity, and how markets and other institutions coordinate those decisions to produce outcomes. Mathematics is the natural language in which those processes can be modelled with precision, and modern economics is increasingly quantitative, relying on sophisticated mathematical tools to understand the complex, often non-linear dynamics of real economic systems. Studying the two together means you develop genuine fluency in both, producing a graduate who can build and interpret economic models with mathematical rigour. At the University of Dundee, this four-year full-time programme develops your mathematical and economic knowledge in an integrated way. You will study the tools of mathematical analysis, linear algebra, statistics, and econometrics alongside the core content of economic theory, from microeconomics and game theory to macroeconomics and international trade. The programme includes a year abroad, broadening your academic perspective and your understanding of how economics is studied and applied in different national and institutional contexts. The typical entry tariff of 200 points reflects the quantitative demands of the combined degree. You will develop rigorous analytical thinking, the ability to model complex systems and extract insight from them, and the quantitative skills that make graduates in this combination highly attractive to a wide range of employers. Graduates are in demand in finance, banking, economic consultancy, actuarial work, data analysis, government economic services, international organisations, and management consultancy. The combination of mathematical rigour and economic understanding is particularly valued in roles involving financial modelling, risk management, and policy analysis. Postgraduate study in economics, finance, data science, or related quantitative disciplines is also a common and natural route.
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