Financial Mathematics BSc (Hons)

3 Years On Campus Bachelors Program

University of Nottingham

Program Overview

The Financial Mathematics BSc (Hons) at the University of Nottingham combines advanced mathematical training with essential finance and risk management principles so you learn both how financial markets function and how to use mathematical tools to analyse them. It’s perfect for students who enjoy strong quantitative thinking and want to apply rigorous mathematics to real‑world problems in finance, insurance, and economics.

Curriculum structure

Year 1
Your first year builds a rock‑solid base in mathematics alongside key financial concepts. You’ll progress through Core Mathematics 1 and Core Mathematics 2 for foundational analytical skills, while modules like Introduction to Finance, Fundamentals of Financial and Management Accounting, Insurance in a Risky World, and Probability and Statistics introduce you to essential finance, risk, and statistical reasoning.

Year 2
In the second year, you deepen your mathematical expertise and begin to see how it drives financial decision making. You’ll study subjects such as Real Analysis, Complex Analysis, Differential Equations, Markov Chains, Methods for Probability and Statistics, and Scientific Computation, with options like Corporate Finance or Economic Principles letting you tailor your focus towards either finance or applied maths interests.

Final Year
In your final year you bring your skills together with core financial mathematics and research experience. Mathematical Finance gives you the tools to tackle high‑level quantitative problems in markets and risk, and the Mathematics Group Project builds your ability to work collaboratively, solve open‑ended problems, and communicate findings clearly. A range of optional modules — such as Financial Markets: Theory and Computation, International Finance, Risk Management Decisions, or Stochastic Models — lets you customise your degree for careers in finance or further study.

Focus areas:
Quantitative analysis and modelling, probability and statistics, financial theory and markets, computational techniques, risk assessment, and applied mathematics.

Learning outcomes:
Graduates will be able to apply mathematical and statistical tools to complex financial problems, think critically about risk and markets, use computational approaches for real‑world modelling, and communicate analytical insights effectively in professional contexts.

Professional alignment (accreditation):
This degree is part of the School of Mathematical Sciences’ suite of accredited programmes recognised by the Institute of Mathematics and its Applications (IMA), signalling that it meets professional standards valued by employers.

Reputation (employability rankings):
The University of Nottingham is widely respected across the UK and internationally, known for strong student satisfaction and graduate outcomes in mathematical sciences; its graduates are regularly recruited into prestigious roles in finance, consulting, analytics, and beyond.

Experiential Learning (Research, Projects, Internships etc.)

Students on the Financial Mathematics BSc (Hons) at the University of Nottingham engage in a programme where mathematical theory meets real financial applications. From early modules in probability, statistics, and financial principles to advanced topics in mathematical finance and computation, students participate in hands-on problem solving, group projects, and workshops that mirror the analytical challenges faced in industry. The course is delivered jointly with the Nottingham University Business School, giving learners direct insight into how finance and business principles connect with mathematical modelling and risk analysis. Throughout the degree, students benefit from interactive learning sessions, computing workshops, small group tutorials, and a significant third-year Mathematics Group Project, where they work collaboratively to investigate applied problems and develop report-writing and teamwork skills—preparing them for careers in finance, analytics, and risk management. Teaching also includes personalised feedback, weekly tutorials with personal tutors, and opportunities to explore optional modules tailored to individual interests.

Key experiential learning elements of the programme include:

Collaborative group project work: In the final year, students undertake a compulsory Mathematics Group Project, working in teams to solve complex, real-world financial mathematics problems and build communication and analytical skills.
Workshops and computing sessions: Regular workshops and sessions using mathematical and statistical software help students apply theoretical learning to practical scenarios.
Small group tutorials and personalised support: Weekly tutorials with personal tutors and small group problem sessions support deeper understanding and peer collaboration.
Interactive learning environments: A blend of lectures, workshops, problem classes, and interactive sessions ensures students learn actively and apply skills in multiple contexts.
Optional modules for specialisation: Students can tailor their learning with optional modules in areas such as financial markets, risk management, and computational techniques, helping them build niche expertise.
Interdisciplinary exposure: Joint teaching with the Nottingham University Business School enriches understanding of finance alongside core mathematics, giving a broader perspective on how quantitative skills are used in industry.
Assessment variety: Assessment includes group projects, presentations, and computing assignments that reflect the kinds of analytical and teamwork tasks professionals undertake.

Progression & Future Opportunities

Graduates from the University of Nottingham’s BSc (Hons) Financial Mathematics degree move into analytical and finance‑focused careers such as Quantitative Analyst, Financial Analyst, Risk Analyst, and Data Analyst: you’ll blend deep mathematical insight with practical financial understanding that’s highly sought after in banking, investment, insurance, and technology. The course equips you with both theoretical knowledge and real‑world skills, helping you step confidently into industry or further study after graduation.

Progression & Future Opportunities:

Career Support & Services: Nottingham’s Careers and Employability Service supports you throughout your degree with tailored guidance on CVs, interview preparation, work experience placement help, and access to employer networking events that bring you directly to recruiters.
Employment Stats & Salaries: Around 86 % of undergraduates from the School of Mathematical Sciences secure employment or further study within 15 months of graduating, with the average starting salary approximately £27,490 per year.
University–Industry Relevance: The programme is delivered in partnership with the Nottingham University Business School and blends mathematics with finance and economics, preparing you for roles that require strong analytical and financial modelling skills.
Accreditation & Long‑Term Value: This degree is accredited by the Institute of Mathematics and its Applications (IMA), enhancing the professional recognition of your qualification and supporting long‑term career credibility in fields like financial risk management and quantitative finance.
Graduation Outcomes: Graduates are ready for careers in finance sectors (banks, investment firms, insurance), quantitative risk and analytics teams, consultancies, and tech companies that value high‑level mathematical thinking applied to real financial problems.

Further Academic Progression:
You could continue your studies after this degree by pursuing postgraduate qualifications such as a Master’s in Financial Mathematics, Quantitative Finance, Data Science, Actuarial Mathematics, or Economics, or even PhD research. These advanced studies build specialised expertise that can open doors to senior analytical roles, quantitative research positions, or academic careers.