MSci Mathematics with Finance

At the University of Exeter, the MSci Mathematics with Finance programme helps students develop practical skills by combining advanced mathematical methods with real-world financial applications. Students gain experience in quantitative analysis, financial modelling, data interpretation, and research through practical coursework, project-based learning, computer-based analysis, and independent investigation. By bringing together expertise from the Mathematics department and the triple-accredited Business School, the programme allows students to understand how mathematical approaches are used to solve challenges in finance, investment, and risk management.

Students develop practical knowledge through applied financial learning, research projects, computing tools, and professional experience opportunities:

• Complete the Mathematics, Business and Finance Project in the final year, where you investigate a specialist topic related to mathematics and finance under academic supervision, developing research, analytical, and communication skills.

• Develop advanced financial modelling skills through modules such as Analysis and Computation for Finance and Mathematical Theory of Option Pricing, applying mathematical methods to areas including derivatives, risk analysis, and financial decision-making.

• Use digital tools and computing resources for data analysis, programming, mathematical modelling, symbolic calculations, presentations, and research activities that support financial and mathematical problem-solving.

• Gain professional workplace experience through the optional Year in Industry, where students complete a placement during the third year of the five-year programme and apply their mathematical and financial knowledge in a professional environment.

• Receive support for placement opportunities through employability preparation activities and workshops that help students develop confidence and professional skills before entering industry.

• Build practical understanding of areas such as financial markets, derivatives pricing, portfolio management, risk management, and quantitative modelling through specialist modules and applied learning.

• Develop teamwork and communication skills through project work, presentations, and written reports, learning how to explain complex mathematical and financial concepts clearly.

• Learn from academics involved in research across mathematics, statistics, and applied mathematical fields, gaining insight into current developments and research approaches.

• Access academic support through personal tutors, mathematics support sessions, peer mentoring opportunities, and student support activities throughout the programme.

• Make use of university learning resources, libraries, digital platforms, and research materials to support coursework, independent study, and project development.

• Benefit from Exeter’s connections with industry organisations, gaining insight into professional applications of mathematics and finance and exploring potential career pathways.

Graduates of the MSci Mathematics with Finance at the University of Exeter are equipped for high-demand careers at the intersection of quantitative analysis and financial strategy. Typical roles include Financial Analyst, Risk Analyst, Investment Analyst, Actuarial Assistant, and Data Analyst, reflecting the strong demand for graduates with advanced mathematical and financial expertise:
• The programme develops advanced mathematical, statistical, and computational skills alongside applied finance knowledge, enabling graduates to model and solve complex financial problems.
• Optional professional 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: Students have access to Exeter’s Careers service, which provides 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: Mathematics and finance graduates from Exeter typically achieve strong outcomes, with most entering graduate-level employment within 15 months. Early-career salaries often range from £30,000–£35,000, reflecting the high demand for quantitative finance expertise.

• 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 programme 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, specialising further 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.