BSc (Hons) Mathematics with Finance with a Placement Year

4 Years On Campus Bachelors Program

University of East Anglia

Program Overview

Graduates gain both strong mathematical and financial expertise plus real-world work experience, giving them a significant advantage in competitive finance and analytics careers: typical roles include Financial Analyst, Risk Analyst, Investment Analyst, and Actuary.

Career Support & Employment Opportunities:

  • UEA Careers Service: Provides targeted support for placement preparation, including CV reviews, interview coaching, employer networking, and workshops specific to finance and analytics sectors.

  • Placement Advantage: Students complete a 12-month professional placement, often with leading financial institutions such as Aviva, Deloitte, PwC, KPMG, and local investment firms, enhancing employability and practical skills.

  • Employment Stats & Salaries: Graduates with placement experience report higher employment rates and starting salaries, typically in the range of £30,000–£40,000, depending on sector and role.

  • Accreditation & Long-Term Value: Accredited by the Institute and Faculty of Actuaries (IFoA), providing professional recognition and supporting future career advancement in actuarial and finance roles.

  • Graduation Outcomes: Alumni progress into banking, investment, insurance, consultancy, and analytics, with many securing positions with their placement employers or moving into postgraduate study.

Further Academic Progression:
Graduates can pursue Master’s degrees in Financial Mathematics, Risk Management, Quantitative Finance, or Data Analytics, or continue to PhD research in Finance, Economics, or Applied Mathematics, leveraging their placement experience for advanced study or research-focused careers.

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 gain both strong mathematical and financial expertise plus real-world work experience, giving them a significant advantage in competitive finance and analytics careers: typical roles include Financial Analyst, Risk Analyst, Investment Analyst, and Actuary.

Career Support & Employment Opportunities:

  • UEA Careers Service: Provides targeted support for placement preparation, including CV reviews, interview coaching, employer networking, and workshops specific to finance and analytics sectors.

  • Placement Advantage: Students complete a 12-month professional placement, often with leading financial institutions such as Aviva, Deloitte, PwC, KPMG, and local investment firms, enhancing employability and practical skills.

  • Employment Stats & Salaries: Graduates with placement experience report higher employment rates and starting salaries, typically in the range of £30,000–£40,000, depending on sector and role.

  • Accreditation & Long-Term Value: Accredited by the Institute and Faculty of Actuaries (IFoA), providing professional recognition and supporting future career advancement in actuarial and finance roles.

  • Graduation Outcomes: Alumni progress into banking, investment, insurance, consultancy, and analytics, with many securing positions with their placement employers or moving into postgraduate study.

Further Academic Progression:
Graduates can pursue Master’s degrees in Financial Mathematics, Risk Management, Quantitative Finance, or Data Analytics, or continue to PhD research in Finance, Economics, or Applied Mathematics, leveraging their placement experience for advanced study or research-focused careers.

Program Key Stats

£23,100 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


79 %
No
Yes

Eligibility Criteria

BBB
3.5
31
70

1280
27
6.0
79
No

Additional Information & Requirements

Country Requirements

Career Options

  • Data Analyst
  • Statistician
  • Actuary
  • Financial Analyst
  • Investment Analyst
  • Quantitative Researcher
  • Operations Research Analyst
  • Risk Analyst
  • Economist
  • Market Research Analyst
  • Business Analyst
  • Data Scientist
  • Cryptographer
  • Software Developer
  • Machine Learning Engineer
  • Accountant
  • Auditor
  • Teacher
  • Research Scientist
  • Meteorologist
  • Biostatistician
  • Financial Planner
  • Mathematical Modeler
  • Academic Researcher
  • Artificial Intelligence Specialist

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