Economics and Mathematics MA (Hons) with Study Abroad

5 Years On Campus Bachelors Program

University of Edinburgh

Program Overview

The MA Economics and Mathematics at the University of Edinburgh combines rigorous mathematical training with modern economic theory, giving students a powerful toolkit for analysing real-world markets, policies, and quantitative problems. It is ideal for students who enjoy logical thinking, data-driven reasoning, and exploring how mathematical structures underpin economic behaviour.

Curriculum Structure

Year 1

In the first year, students develop core foundations in both subjects. They study Introduction to Economics, covering microeconomic behaviour and macroeconomic systems, alongside foundational mathematics modules such as Calculus and Applications, Proofs and Problem Solving, and Linear Algebra. These courses strengthen analytical thinking and build the mathematical discipline essential for advanced economic modelling.

Year 2

Year two deepens the theoretical base with modules such as Microeconomics 2, Macroeconomics 2, and Statistical Methods for Economics. Mathematics becomes more advanced through courses like Several Variable Calculus, Probability, and Statistics. Students learn how theoretical tools can be used to study markets, optimise decisions, and understand economic data.

Year 3

In year three, students progress into more specialised areas of economic and mathematical analysis. Core modules include Microeconomic Analysis, Macroeconomic Analysis, and Econometrics, which train students to build and evaluate economic models using real data. Mathematics options such as Honours Algebra, Honours Analysis, Ordinary Differential Equations, or Applied Linear Algebra allow students to tailor their learning based on their strengths and career goals.

Year 4

The final year offers a mix of advanced economics options—such as Behavioural Economics, International Economics, Industrial Organisation, or Public Economics—alongside higher-level mathematics modules. Students also complete an independent research project or dissertation, giving them experience in applying mathematical reasoning or economic analysis to a specialised topic of interest.

Year 5:

The School of Economics exchange programme offers opportunities to study in the USA, Europe

Focus Areas (string)

Microeconomic theory, macroeconomic policy, econometrics, probability and statistics, mathematical analysis, optimisation, algebra, applied mathematics, economic modelling.

Learning Outcomes (string)

Graduates will be able to apply mathematical reasoning to economic problems, analyse quantitative data, construct economic models, interpret empirical results, and communicate complex analytical ideas with clarity and precision.

Professional Alignment (Accreditation)

Aligned with expectations for analytical careers in economics, finance, consulting, and quantitative research, and provides a strong academic foundation for postgraduate study in economics, mathematics, or related disciplines.

Reputation (Employability / Rankings)

The University of Edinburgh is widely recognised for excellence in both economics and mathematics, offering strong graduate employment outcomes in sectors such as finance, banking, consulting, technology, public policy, and further academic research.

Experiential Learning (Research, Projects, Internships etc.)

This joint degree brings together two powerful analytical disciplines, giving students a strong foundation in both economic theory and advanced mathematics. The program suits individuals who enjoy logical reasoning, quantitative problem-solving, and exploring how mathematical models explain real-world economic behaviour. It offers a balanced mix of conceptual understanding and rigorous technical skills, preparing graduates for a wide range of analytical and professional paths.

Experiential Learning

Throughout the degree, students engage with problem-based tutorials, data-driven projects, and mathematical modelling exercises that mirror real professional tasks. They interact closely with academic staff through workshops, group activities, and guided coursework, ensuring continuous development of their analytical and quantitative abilities. Optional research-focused components allow students to investigate topics such as economic forecasting, optimisation, or statistical modelling.

Progression & Future Opportunities

Graduates emerge with a highly versatile skill set valued across industries. Many progress into fields such as finance, consulting, data analytics, policy research, actuarial science, and economic analysis. The program also provides a strong academic platform for pursuing postgraduate study in economics, applied mathematics, statistics, finance, or related quantitative disciplines.

Progression & Future Opportunities

Graduates from the MA Economics and Mathematics programme are highly sought after in finance, consulting, data analytics, policy analysis, and research. Common roles include economic analyst, data analyst, financial consultant, and research officer. The combination of economic theory and mathematical proficiency prepares graduates for careers that require sharp analytical thinking and quantitative decision-making:

  • University Services: Students benefit from the University’s Careers Service, which offers personalised guidance, internship opportunities, CV and interview coaching, employer events, and networking with alumni across business, finance, and public policy.

  • Employment Stats & Salaries: Graduates with combined strengths in mathematics and economics typically start in roles with salaries around £28,000–£35,000, with strong progression potential in finance and consulting sectors.

  • University–Industry Partnerships: The School of Economics and the School of Mathematics both maintain links with banks, consulting firms, government agencies, and research organisations, offering opportunities for applied coursework and industry-aligned projects.

  • Long-term Accreditation Value: This joint degree provides a powerful quantitative foundation valued by employers and supports progression towards professional qualifications in economics, finance, and analytics.

  • Graduation Outcomes: Students graduate with strong quantitative modelling capabilities, advanced problem-solving skills, and experience in applied economic analysis and mathematical reasoning.

Further Academic Progression:

  • Graduates can progress into MSc programmes such as Economics, Econometrics, Financial Economics, Data Science, or Applied Mathematics.

  • Those interested in research careers may pursue a PhD in Economics, Mathematics, Econometrics, or interdisciplinary fields combining computation, data, and economic theory.

Program Key Stats

£29,600 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


10 %
No
Yes

Eligibility Criteria

A*AA
3.3
43
80

1290
27
6.5
92
No

Additional Information & Requirements

Career Options

  • Actuary
  • Data Analyst
  • Statistician
  • Quantitative Analyst
  • Operations Research Analyst
  • Financial Analyst
  • Risk Analyst
  • Economist
  • Cryptographer
  • Mathematician
  • Data Scientist
  • Market Research Analyst
  • Biostatistician
  • Machine Learning Engineer
  • Algorithm Developer
  • Research Scientist
  • Investment Analyst
  • Statistician Consultant
  • Software Engineer (Mathematical Modeling)
  • Computational Scientist

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