BSc Mathematics with Economics

3 Years On Campus Bachelors Program

University of Exeter

Program Overview

BSc Mathematics with Economics at the University of Exeter is designed for students who want to combine strong mathematical skills with an understanding of economic theory and real-world economic applications. The programme explores how mathematical techniques can be used to analyse economic challenges, interpret financial data and understand markets, preparing students for careers in finance, economics, data analysis and related sectors, with the option to complete a Year in Industry for valuable professional experience.

Curriculum Structure

Year 1
Your first year introduces the key principles of mathematics and economics, building the foundation needed for more advanced study. You will explore modules such as Economics I, Economics II, Mathematical Structures, Mathematical Methods, and Probability, Statistics and Data, developing essential skills in economic analysis, mathematical reasoning and statistical problem-solving.

Year 2
In your second year, you will develop a deeper understanding of economic concepts while expanding your mathematical knowledge through specialist topics. You will study Microeconomics II and explore areas such as Differential Equations, Vector Calculus and Applications, Statistical Modelling and Inference, Real Analysis, and Mathematics of Machine Learning and AI, allowing you to develop advanced analytical and quantitative skills.

Year 3
Your final year focuses on applying mathematical and economic methods to complex real-world issues, particularly in areas such as finance and economic decision-making. You will study modules including Econometric Analysis, Futures and Options, Financial Markets and Decisions 2, International Economics, and Public Economics 1, while also having the flexibility to select additional mathematics modules based on your interests.

Year in Industry (Optional)
You can extend your degree to four years by choosing the Year in Industry option, where you complete a professional placement during your third year. This opportunity allows you to apply your mathematical and economic knowledge in a workplace setting, gain practical experience and develop skills that strengthen your career prospects after graduation.

Focus Areas

Mathematical Analysis, Economic Theory, Microeconomics, Econometrics, Financial Markets, Statistical Modelling, Probability, Data Analysis, Mathematical Modelling, Financial Instruments, Applied Mathematics, Quantitative Methods, Economic Decision-Making, Machine Learning Applications

Learning Outcomes

Develop advanced mathematical and economic knowledge, apply quantitative methods to economic problems, analyse financial and economic data, understand microeconomic principles, use statistical and econometric techniques, evaluate financial markets and instruments, develop mathematical modelling skills, strengthen analytical thinking, improve problem-solving abilities, apply research methods to real-world economic challenges

Professional Alignment (Accreditation)

The programme provides a strong foundation for careers that require quantitative, analytical and economic expertise. It also supports progression towards the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications (IMA), when combined with appropriate professional training and experience.

Reputation (Employability Rankings)

The programme combines mathematics and economics to develop highly transferable analytical skills valued by employers in finance, consulting, government, technology and research sectors.
Students benefit from Exeter’s focus on practical learning, problem-solving, teamwork and digital skills, helping them prepare for a wide range of career opportunities.

Experiential Learning (Research, Projects, Internships etc.)

BSc Mathematics with Economics at the University of Exeter helps students develop practical skills by applying mathematical concepts and economic theories to real-world challenges. Through project work, research activities, data analysis and the use of modern digital tools, students learn how to approach complex problems, interpret information and communicate analytical insights effectively. The programme also offers the option of a Year in Industry, allowing students to gain valuable professional experience and apply their knowledge in a workplace environment.

Students gain practical experience through a combination of academic projects, digital tools, research activities and industry engagement opportunities:

Project work and research activities: Students complete project-based assignments and research tasks throughout the degree, including independent work in later years where they investigate mathematical and economic topics with support from academic supervisors.
Programming and digital tools: Students develop skills in using computer-based tools for data analysis, programming, mathematical modelling, symbolic algebra, typesetting and professional presentations.
Mathematical and statistical applications: Students apply quantitative techniques, statistical methods and mathematical models to analyse economic problems and interpret financial and market-related data.
Team-based learning: Collaborative activities and group projects help students strengthen teamwork, communication and the ability to present complex mathematical and economic ideas clearly.
Year in Industry option: Students can choose an additional industrial placement year to gain professional experience with organisations such as Lloyds Banking Group, Coca-Cola, the Met Office and PwC, applying their academic knowledge in real workplace settings.
Industry engagement: Connections with leading organisations provide students with insights into how mathematics and economics are used in areas such as finance, business, technology and data analysis.
Career preparation support: Students receive guidance through employability activities, placement preparation sessions and career support to help them build professional skills and prepare for future opportunities.
Research-led learning: Students learn from academics involved in research across mathematics, statistics and economics, gaining exposure to current developments and research approaches within these fields.
Learning facilities: Students have access to the University of Exeter’s Streatham Campus facilities, including study spaces, computing facilities, libraries and academic support services that support mathematical and economic learning.

Progression & Future Opportunities

Graduates of the BSc Mathematics with Economics at the University of Exeter are prepared for careers that combine strong quantitative skills with economic analysis. Typical roles include Economic Analyst, Data Analyst, Financial Consultant, Policy Advisor, and Actuarial Analyst, reflecting the demand for graduates who can apply advanced mathematical techniques to economic and financial contexts:
• The programme develops mathematical, statistical, and computational skills alongside applied economics knowledge, enabling graduates to analyse complex economic systems and financial data.
• Optional placements and project modules provide practical experience, enhancing employability and understanding of real-world economic and financial challenges.

Progression & Future Opportunities:

University services that help you to employ: Students are supported by Exeter’s Careers service, offering personalised career guidance, CV and application support, interview coaching, employer networking events, workshops, and careers fairs to help secure internships and graduate roles.
Employment stats and salary figures: Graduates combining mathematics and economics typically achieve strong outcomes, with most entering graduate-level employment or further study within 15 months. Early-career salaries often range from £30,000–£35,000, reflecting high demand for analytical and economic skills.
University–industry partnerships: Placement opportunities, consultancy projects, and applied modules provide practical experience and connections with employers in finance, consulting, policy, and economic research sectors.
Long-term accreditation value: The programme equips graduates with transferable skills recognised by employers worldwide, enhancing career credibility and long-term professional development in finance, economics, or analytics.
Graduation outcomes: Graduates progress into roles in economic consultancy, financial analysis, data analytics, policy advisory, actuarial work, or continue into postgraduate study in mathematics, economics, or finance-related disciplines.

Further Academic Progression:
• Students may continue to master’s programmes in Economics, Financial Economics, Data Science, Quantitative Finance, Applied Mathematics, or Research-led Economics degrees, further specialising in their chosen field.
• The degree also supports progression toward professional qualifications (e.g., CFA, actuarial exams) or research-focused postgraduate study, offering flexible pathways into finance, consultancy, economic research, or academia.