BSc Mathematics with Economics

The BSc Mathematics with Economics degree at Exeter gives you a strong foundation in both mathematics and economics, with lots of opportunities to apply what you learn to real problems. You’ll engage through lectures, seminars, tutorials, examples classes, and project work where you use mathematical modelling, data analysis, and economic reasoning to tackle real issues — like interpreting data on markets, analysing consumer behaviour, or evaluating policy impact.

You’ll develop practical quantitative skills, including statistical methods and computational tools that apply directly to economic data. In upper years, you’ll have the chance to undertake an independent project, letting you explore a topic that interests you in depth and build research experience that’s useful for careers or further study. Choosing the optional Year in Industry route also lets you spend a year working in a business, economic research setting, government agency, or other professional environment where you apply your mathematical and economic learning in practice:

• Applied mathematical and statistical tools: Core mathematics modules give you experience with methods such as calculus, probability, modelling, and data analysis — all of which you’ll apply directly to economic questions.

• Economic reasoning and real-world application: Economics modules help you understand how markets work, how policy can affect outcomes, and how to analyse real economic data and problems — developing analytical thinking employers value.

• Independent project: In later years you’ll complete an advanced piece of work on a topic you choose, supervised by academic staff. This builds valuable research, writing, and analytical skills that deepen your understanding and strengthen your academic profile.

• Year in Industry option: If you choose this route, you spend a full year working in a business, research institute, government department, or another professional setting, applying your mathematical and economic skills to real tasks and gaining workplace experience that boosts your CV.

• Problem solving and case studies: Many modules involve problem sets, case studies, and data‑driven exercises that help you practise analysing real situations and communicating your findings clearly.

• Elective choices: Later in the degree you can choose optional modules that let you specialise or broaden your skill set in areas like statistical modelling, financial mathematics, or data analytics.

• Small‑group support and tutorials: You’ll have access to tutorials and workshop sessions where you can discuss ideas, refine your understanding, and build confidence in both economic and mathematical reasoning.

• Collaborative work: Some modules involve group projects, helping you develop teamwork and communication skills that are valuable in professional environments.

Facilities list available on the University of Exeter campus facilities webpage.

Why This Programme Is a Great Choice

The BSc Mathematics with Economics degree gives you a powerful combination of analytical and economic insight that prepares you for a range of careers where data interpretation, modelling, and economic thinking matter. Graduates go on to work in sectors such as economic research, finance, public policy, consulting, data analysis, business strategy, and more.

With the optional Year in Industry, you gain real workplace experience before you graduate — strengthening your practical skills and helping you make industry connections that give you an edge in the job market.

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.