MSci Mathematics with Finance

4 Years On Campus Bachelors Program

University of Exeter

Program Overview

The MSci Mathematics with Finance at the University of Exeter is a four‑year integrated master’s that combines advanced mathematical training with deep understanding of financial theory and practice. It’s ideal for students who love solving complex problems and want to pursue careers at the intersection of mathematics, quantitative finance, risk analysis, and financial modelling.

Curriculum structure

Year One

In your first year, you’ll establish a solid foundation in core mathematics through modules such as Mathematical Structures and Mathematical Methods, while also exploring finance and economics with Introduction to Finance and Economics I & II. You’ll gain an understanding of how financial markets operate and the role of economics in business and decision‑making, setting you up for higher‑level study in both disciplines.

Year Two

In year two, you’ll deepen your understanding of financial systems with Financial Markets and Decisions I and Microeconomics II, while continuing your mathematical development with modules like Differential Equations. You’ll also have the flexibility to choose optional mathematics modules such as Vector Calculus, Real Analysis, or Linear Algebra, allowing you to tailor your studies toward your strengths and interests.

Year Three

In your third year, you’ll combine compulsory study in financial decision theory with broad choices across advanced mathematics. Core study includes Financial Markets and Decisions 2 and Research in Mathematical Sciences, while optional modules let you explore areas such as Fluid Dynamics, Graphs, Networks and Algorithms, Cryptography, and Mathematics of Climate Change. There’s also the option to gain real commercial experience through the Commercial and Industrial Experience module.

Final Year

In your final year, you’ll focus on master’s‑level finance and mathematics with compulsory modules like Analysis and Computation for Finance and Mathematical Theory of Option Pricing, alongside a substantial Mathematics, Business and Finance Project. This major project allows you to work independently on a research or applied topic that reflects your interests and career goals, drawing together your mathematical and financial expertise.

Focus areas (in a string):

Advanced quantitative reasoning · Financial markets and decisions · Mathematical modelling · Probability and risk · Risk pricing theory · Independent research

Learning outcomes (in a string):

Develop the ability to apply high‑level mathematical and statistical methods to financial problems, understand complex financial instruments and risk models, conduct independent research, and communicate quantitative and strategic insights clearly and professionally.

Professional alignment (accreditation):

This programme is delivered in partnership with Exeter’s Business School, giving you grounding in both mathematics and finance that aligns with professional standards in quantitative finance, analytics, risk management, and financial services. You also gain access to industry-related resources and membership benefits that enhance your professional development.

Reputation (employability rankings):

The University of Exeter is widely recognised for research‑led teaching and strong graduate outcomes. Mathematics with Finance graduates are well‑placed for careers in investment analysis, risk management, actuarial work, data analytics, consulting, and other quantitative roles, thanks to their blend of analytical and financial skills. Exeter also ranks highly in national guides for Mathematics.

Experiential Learning (Research, Projects, Internships etc.)

The MSci Mathematics with Finance degree at Exeter blends advanced mathematics with deep financial insight, giving you both analytical power and practical financial understanding. You won’t just learn theory — you’ll apply mathematical and statistical methods to real financial problems through a mix of lectures, seminars, workshops, and project work. Throughout your degree, you’ll work with real data, use mathematical computing tools, and gain experience that’s directly relevant to careers in finance, risk analysis, and quantitative roles.

In later years, you’ll have the opportunity to undertake an independent research project exploring a topic at the interface of mathematics and finance, and the optional Year in Industry variant lets you gain professional experience in a workplace relevant to your degree:

Mathematical and financial modelling: Core modules combine mathematical theory with financial applications — you’ll analyse markets, model risk, and use statistical tools to tackle problems in investment and financial decision-making.
Computational tools and data work: You’ll gain hands‑on experience with computing and data analysis tools used for financial modelling and statistics, helping you translate mathematical ideas into practical outcomes.
Independent finance project: In your final year, you’ll complete a supervised individual project that lets you investigate a topic you’re passionate about — such as quantitative finance, stochastic processes, or risk modelling — and produce a substantial piece of research or applied analysis.
Optional Year in Industry: If you choose the Year in Industry variant, you’ll spend an additional year working in a professional setting, using your mathematical and financial skills in real business contexts such as banking, consulting, analytics or investment.
Problem‑solving and case studies: Many modules involve real financial data, case studies, and problem‑solving exercises that build both independent analytical ability and decision‑making skills.
Project work and reporting: You’ll develop important communication skills as you write analytical reports, present quantitative results, and explain complex ideas clearly — all of which are highly valued in finance and tech industries.
Interdisciplinary options: You can choose elective modules that let you explore areas like economics, data science, or computational finance, broadening your understanding of real‑world financial systems.
Supportive academic environment: You’ll benefit from small group tutorials, workshops, and academic support that help you deepen your mathematical understanding and build confidence in applying these skills to financial problems.

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

Why This Programme Is a Great Choice

The MSci Mathematics with Finance degree gives you a powerful combination of advanced mathematical reasoning and practical financial understanding. You’ll graduate not just with strong theoretical knowledge, but with experience in quantitative analysis, financial modelling, data interpretation, and applied problem solving — skills that are in high demand in finance, consulting, technology, risk analytics, and data‑driven industries.

With the option to gain professional experience through a Year in Industry and to carry out a substantial final‑year research project, this programme prepares you for competitive graduate roles and gives you the confidence to tackle real financial challenges from day one in your career.

Progression & Future Opportunities

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.