Economics and Mathematical Sciences

Economics and mathematical sciences together form a natural intellectual pairing, since modern economics is built on mathematical foundations and the most rigorous economic thinking relies heavily on formal modelling, statistical analysis and quantitative reasoning. Studying both together develops the ability to engage with economics at a level of analytical precision that a less mathematically grounded programme cannot reach, while the economic applications give purpose and context to the mathematical tools you are learning.

The Open University offers this programme in a part-time and distance learning format, making it accessible to students who cannot attend a residential university and who need to fit higher education around existing work and personal commitments. The Open University has a long and well-established track record in mathematics and economics education through distance learning, and its materials and pedagogical approaches are designed to support effective independent study. The curriculum covers the core areas of economic theory, including microeconomics, macroeconomics and econometrics, alongside the mathematical content in calculus, linear algebra, probability and statistics that economic modelling requires.

Part-time distance study demands considerable self-discipline and the ability to sustain focused work without the rhythms of a traditional university timetable, but it also gives you a flexibility that is uniquely suited to mature or working students.

The combination develops rigorous quantitative reasoning, the ability to build and interpret economic models, statistical competence and the capacity to evaluate economic evidence critically. These are capabilities that transfer well into finance, research, policy and data-intensive roles of all kinds.

Graduates pursue careers in economic research and analysis, financial services, government and public sector analysis, consultancy, data science and the broad range of roles that value quantitative analytical skills. The degree also provides a strong foundation for postgraduate study in economics, finance, statistics or data science.