BSc Mathematics with Finance

3 Years On Campus Bachelors Program

University of Southampton

Program Overview

The BSc Mathematics with Finance at the University of Southampton combines rigorous mathematical study with financial theory and practice. It is ideal for students aiming for careers in banking, investment, risk management, or financial analytics, providing strong quantitative and analytical skills.


Curriculum structure

Year 1 – Core foundations in mathematics and finance
In your first year, you’ll study essential modules such as Calculus, Linear Algebra, and Foundations of Mathematics, alongside Introduction to Finance. This develops a solid mathematical base while introducing financial concepts and quantitative reasoning.

Year 2 – Developing applied mathematical and financial skills
The second year focuses on modules such as Probability and Statistics, Financial Mathematics, and Corporate Finance. You’ll learn to apply mathematical methods to model financial systems, analyse risk, and make data-driven financial decisions.

Year 3 – Advanced finance and mathematical applications
In your final year, you’ll study advanced modules like Derivatives and Risk Management, Stochastic Processes, and Applied Mathematics. A final-year project allows you to integrate mathematics and finance, applying your knowledge to a research or practical financial problem.


Focus areas:
Mathematics, finance, financial modelling, probability, statistics, risk analysis

Learning outcomes:
Ability to apply mathematical reasoning to financial problems, strong analytical and quantitative skills, understanding of financial markets and risk management, preparation for careers in finance and quantitative fields

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting professional recognition in mathematics; modules are designed to complement financial industry standards.

Reputation (employability & rankings):
The University of Southampton is ranked in the QS World University Rankings by Subject for Mathematics and Finance and is recognised for graduate employability in quantitative and finance-related careers.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Southampton, the BSc Mathematics with Finance degree integrates rigorous mathematical training with practical financial applications. From the first year, you’ll gain hands-on experience in modelling, data analysis, and quantitative finance, using professional software and tools. The programme combines research-led teaching with applied projects, giving you the skills to tackle real-world financial problems and prepare for careers in banking, investment, data analytics, and financial modelling:

  • Specialist computing laboratories in the School of Mathematical Sciences, supporting financial modelling, quantitative analysis, and computational coursework

  • Extensive use of MATLAB, Python, R, and Excel, embedded into modules covering probability, financial mathematics, risk modelling, and quantitative finance

  • Group-based projects and problem-solving workshops, designed to simulate real-world financial and mathematical challenges

  • Research-led teaching, delivered by academics active in applied mathematics, statistics, and financial modelling

  • Opportunities for individual projects, allowing students to explore topics in finance, quantitative analysis, or mathematical modelling in depth

  • Teaching and study spaces in the Zepler Building, including lecture theatres, seminar rooms, and computing labs for independent and collaborative work

  • Full access to the Hartley Library, offering mathematics, statistics, and finance resources, including textbooks, journals, databases, and study spaces

  • Career-focused support embedded in the programme, preparing students for roles in finance, banking, data analysis, and quantitative consultancy

This programme is ideal if you want a mathematics degree with a strong focus on finance, combining theoretical understanding with practical, data-driven, and computational skills that are highly valued by employers.

Progression & Future Opportunities

Graduates from the BSc Mathematics with Finance program are highly equipped for careers in financial analysis, investment banking, risk management, and data-driven finance roles:

  • University Services for Employment: Southampton’s Careers and Employability Service offers one-to-one career guidance, CV and interview workshops, finance-specific employer networking events, and internship placement support.

  • Employment Stats and Salary Figures: Around 90% of graduates secure employment or further study within six months, with starting salaries typically ranging from £28,000–£45,000 depending on the sector.

  • University–Industry Partnerships: The program works closely with financial institutions, investment firms, and tech companies, providing project work, guest lectures, and potential internship placements.

  • Long-Term Accreditation Value: Accredited by the Institute of Mathematics and its Applications (IMA), giving professional recognition and enhancing career progression opportunities in finance and analytics.

  • Graduation Outcomes: Graduates often pursue roles in financial analysis, investment banking, quantitative finance, risk management, and data-driven consulting.

Further Academic Progression:
Graduates can continue with MSc or PhD programs in Financial Mathematics, Data Science, Applied Mathematics, or related fields, providing advanced knowledge and research skills for specialized finance or analytics careers.

Program Key Stats

£24,800 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

AAA
3.4
36
75

1350
29
6.5
90
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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