BSc (Hons) Mathematics with Finance

3 Years On Campus Bachelors Program

University of East Anglia

Program Overview

The BSc (Hons) Mathematics with Finance at the University of East Anglia (UEA) is an exciting degree that combines the deep analytical power of mathematics with practical applications in finance, economics, and data analysis — perfect if you love numbers and want to make sense of financial markets and real‑world economic systems. It’s ideal for students who enjoy rigorous mathematical thinking and aspire to careers in finance, banking, actuarial science, risk analysis, or quantitative consultancy.

Curriculum structure

Year 1
Your first year lays the essential groundwork in core mathematics topics — such as calculus, algebra, and probability — while introducing you to key financial concepts that show how mathematical tools operate in economic and financial contexts. You’ll also begin exploring introductory modules in data analysis and modelling, giving you a strong base for both advanced mathematical theory and its real‑world applications.

Year 2
In the second year you advance your mathematical understanding with deeper studies in topics like real analysis, further probability, and applied mathematics, while beginning specialised finance‑related modules such as financial mathematics and corporate finance concepts. Optional choices allow you to tailor your studies further, perhaps in areas such as statistics for finance, financial econometrics, or mathematical modelling, strengthening both your quantitative and sector‑specific expertise.

Year 3
Your final year brings advanced mathematical and financial topics together, including modules focused on financial mathematics and risk modelling, letting you refine your analytical skills in contexts such as investment analysis and financial markets. You’ll often get the chance to complete an independent project or dissertation that lets you explore a topic you’re passionate about — be that in mathematical theory, finance, or interdisciplinary quantitative research — showcasing your capabilities to future employers or postgraduate programmes.

Focus areas:
Mathematical theory and methods, financial mathematics and modelling, quantitative finance, probability and statistics, data analysis, and optional modules linking economics and finance.

Learning outcomes:
Develop strong analytical and problem‑solving skills with a deep understanding of both pure mathematics and its application in finance; gain confidence in quantitative reasoning, financial modelling, and data interpretation; become ready for careers in finance, banking, actuarial and analytical roles or for study at the postgraduate level.

Professional alignment (accreditation):
The mathematics portfolio at UEA aligns with professional standards valued by employers in quantitative finance and analytical careers, ensuring your degree equips you with skills recognised across industry sectors.

Reputation (employability rankings):
UEA is well‑regarded in the UK for quality teaching in mathematical sciences and strong research impact, with graduates frequently progressing into analytical and financial careers or further study with excellent support for employability outcomes.

Experiential Learning (Research, Projects, Internships etc.)

Choosing BSc (Hons) Mathematics with Finance at the University of East Anglia means you won’t just learn mathematics — you’ll see how it drives real financial decision‑making and quantitative analysis right in the heart of the financial world. Throughout your studies, you’ll combine core mathematical theory with financial concepts like corporate finance, financial markets, economics and data analysis. Learning takes place with lectures supported by workshops and computer‑based modelling sessions, giving you hands‑on exposure to the tools and ways of thinking used by professionals. You’ll be taught by research‑active academic staff whose current work in mathematics and applied quantitative disciplines feeds directly into your curriculum and deepens your understanding of both theory and practice.

Here’s what your learning and professional preparation will look like in practice:

Practical Skills & Digital Tools:

Regular workshop and computer lab sessions, helping you apply mathematical ideas to finance‑related problems and real data sets.
Training in quantitative analysis and mathematical modelling that supports financial decision thinking and economic reasoning.

Applied Learning & Group Work:

Collaborative problem‑solving in tutorials and group sessions that prepare you for team‑based roles in industry.
Opportunities to tailor your degree by choosing optional modules that reflect your interests in finance, economics or data analysis.

Professional Orientation & Career Readiness:

Built‑in career‑focused content linking mathematics with finance, banking, consultancy, analytics and related sectors.
Strong foundations for roles such as financial analyst, quantitative modeler or data specialist, or for further study in finance or financial economics.
Support from UEA’s Careers Services to help you explore internships, part‑time work and graduate opportunities aligned with your skills and goals.

Supportive Academic Environment:

Small group tutorials and personalised feedback from experienced lecturers, ensuring you grow your understanding step by step.
A flexible degree structure that lets you blend mathematical depth with financial insight according to your interests and career focus.

This degree is perfect if you’re passionate about both mathematics and finance and want a programme that prepares you for analytic, financial and quantitative careers in sectors where numbers matter and insight counts.

Progression & Future Opportunities

Graduates combine strong mathematical skills with financial expertise, making them highly attractive to employers in banking, finance, and analytics: typical roles include Financial Analyst, Risk Analyst, Actuary, and Investment Analyst.

Career Support & Employment Opportunities:

UEA Careers Service: Offers one-to-one career guidance, CV and interview support, access to employer events, and targeted workshops for finance and analytics sectors.
Employment Stats & Salaries: Around 90% of graduates are employed or in further study within six months, with starting salaries typically between £28,000–£38,000 in finance and analytics roles.
University–Industry Partnerships: Collaborations with leading firms such as Aviva, KPMG, Deloitte, PwC, and local financial institutions, providing networking, internships, and live projects.
Accreditation & Long-Term Value: The program is recognized by professional bodies such as the Institute and Faculty of Actuaries (IFoA), supporting professional progression in actuarial and finance careers.
Graduation Outcomes: Alumni work in finance, insurance, investment banking, consultancy, and analytics, and some continue to postgraduate study in quantitative finance or risk management.

Further Academic Progression:
Graduates may continue their studies with Master’s programs in Finance, Financial Mathematics, Risk Management, or Data Analytics, or pursue PhDs in Finance or Quantitative Economics, providing strong foundations for research, teaching, or specialized finance careers.