BSc Mathematics with Finance

On the BSc Mathematics with Finance degree at Exeter, you’ll develop a strong foundation in mathematics while learning how those skills apply directly to financial contexts. From the start, you’ll engage in lectures, seminars, tutorials, examples classes and project work that help you apply mathematical reasoning to real problems involving data, risk, markets, and financial decision‑making. You’ll also work with computational tools for statistics and modelling that prepare you for data‑centred roles.

If you choose the optional Year in Industry variant, you’ll spend a full year working in a professional environment — such as a bank, consultancy or analytics firm — which gives you real work experience and insight into how mathematical and financial skills are used in practice:

• Applied mathematical practice: Core mathematics modules give you skills in areas such as calculus, probability, statistics, and mathematical modelling — all of which are essential for analysing financial systems and data.

• Finance‑related analytical tools: Across modules you’ll use quantitative and statistical methods to analyse data, solve problems, and model financial situations, helping you gain practical experience with techniques used in finance roles.

• Problem‑solving and case studies: Many modules involve real‑world financial problems, case studies, and analytical exercises that help you develop clear reasoning and decision‑making skills.

• Year in Industry option: If you select this variant, you spend your third year in a workplace environment where you apply your mathematical and financial knowledge on real tasks, build transferable professional skills, and connect with potential employers.

• Project work and reporting: Coursework and projects help you practise writing up quantitative analyses and presenting results clearly — communication skills that are highly valued in finance, consulting, and analytics roles.

• Elective module choice: In later years you can choose optional modules that let you explore topics such as advanced statistics, data analysis, or mathematical computing, tailoring the degree to match your interests and career goals.

• Tutorial support and workshops: You’ll have access to small‑group tutorials and workshops where you can discuss problems, refine your understanding, and develop confidence in both theory and application.

• Collaborative learning: Some project work and classes involve teamwork, helping you build communication and collaboration skills that are essential in professional settings.

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

Why This Programme Is Worth Applying For

The BSc Mathematics with Finance degree blends rigorous mathematical training with meaningful financial insight and analytical experience. You’ll graduate with strong quantitative skills, practical experience with financial data and models, and the ability to apply logical reasoning to complex situations — all of which are highly valued in careers in banking, financial analysis, consulting, actuarial work, risk management, data analytics and beyond.

Graduates of the BSc Mathematics with Finance at the University of Exeter are well-prepared for careers that combine strong quantitative skills with financial analysis and strategy. Typical roles include Financial Analyst, Risk Analyst, Investment Analyst, Data Analyst, and Actuarial Assistant, reflecting the demand for graduates with strong mathematical and financial expertise:
• The programme develops mathematical, statistical, and computational skills alongside applied finance knowledge, enabling graduates to model and solve complex financial problems.
• Optional placements and project modules provide practical experience, enhancing employability and readiness for the financial sector.

Progression & Future Opportunities:

• University services that help you to employ: Exeter’s Careers service provides personalised career guidance, CV and application support, interview coaching, employer networking events, workshops, and careers fairs, helping students secure internships and graduate roles.

• Employment stats and salary figures: Mathematics and finance graduates typically achieve strong outcomes, with most entering graduate-level roles within 15 months. Early-career salaries often range from £30,000–£35,000, reflecting high demand for quantitative finance skills.

• University–industry partnerships: Professional placements, financial modelling projects, and industry-linked modules provide practical experience and networking opportunities with employers in banking, investment, risk management, and consultancy.

• Long-term accreditation value: The degree equips graduates with recognised skills valued by employers worldwide, providing a strong foundation for professional qualifications and long-term career growth in finance and analytics.

• Graduation outcomes: Graduates progress into careers in investment banking, risk management, financial consulting, data analysis, actuarial science, and related fields, or pursue postgraduate study in finance or mathematics-related disciplines.

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