Mathematics with Finance and Economics BSc (Hons)

The Mathematics with Finance and Economics BSc (Hons) is a three-year undergraduate programme that combines rigorous mathematics training with finance and economics principles. It is designed for students who want to develop strong quantitative skills while understanding the economic and financial systems that drive modern markets.

This degree balances theoretical mathematics, practical modelling, and financial applications, providing a strong foundation for careers in finance, banking, investment, data analysis, or postgraduate study. You’ll develop the analytical tools to solve complex problems and interpret quantitative data in economic and financial contexts.

Experiential Learning – How You Gain Skills

Students gain practical and analytical experience through a combination of lectures, tutorials, workshops, projects, and computational exercises:

• Core Mathematical Training:

  • Calculus, linear algebra, and advanced analysis

  • Probability and statistics, including stochastic modelling

  • Differential equations and mathematical modelling techniques

• Finance and Economics Modules:

  • Principles of economics (microeconomics and macroeconomics)

  • Financial markets, investment theory, and banking systems

  • Applied quantitative finance and econometrics

  • Risk management and portfolio analysis

• Applied and Computational Tools:

  • Statistical and econometric software (R, Python, MATLAB)

  • Financial modelling and simulation

  • Data analysis and visualisation for economic and financial datasets

• Project Work and Research:

  • Final-year dissertation or applied project integrating mathematics with finance and economics

  • Independent analysis of real-world economic or financial problems

  • Development of research, presentation, and technical writing skills

• Workshops and Tutorials:

  • Small-group tutorials to develop problem-solving skills

  • Collaborative projects and case studies to simulate industry scenarios

This combination ensures that students graduate with strong mathematical reasoning, practical financial analysis skills, and real-world problem-solving experience.

Skills You Will Develop

Graduates gain:

• Advanced mathematical and statistical analysis abilities

• Quantitative finance and economic modelling expertise

• Competence in using computational tools for finance and economics

• Problem-solving and decision-making skills in quantitative contexts

• Research and project management experience

• Effective communication of complex technical ideas

Duration

3 years full-time

Who This Degree Suits

• Students who enjoy mathematics and want to apply it to finance and economics

• Individuals aiming for careers in banking, investment, data analysis, or risk management

• Those considering postgraduate study in mathematics, finance, economics, or related fields

• Learners who want a blend of theory, applied mathematics, and financial analysis

Career Prospects

Graduates can pursue careers such as:

• Quantitative analyst or financial modeller

• Investment analyst or banking professional

• Risk management consultant

• Data analyst or economic researcher

• Actuary (with professional exams)

• Postgraduate study in finance, economics, or mathematics

This programme equips students with both strong mathematical foundations and applied financial skills, making them highly adaptable and ready for diverse career paths in quantitative and financial industries.

Graduates from a BSc Mathematics with Finance and Economics would be strongly placed for careers that combine quantitative skills with financial and economic understanding. Typical roles could include: Financial Analyst, Investment Analyst, Risk Analyst, Economic/Financial Consultant, Data‑Analyst in Finance or Economics, Economic Research Assistant, Quantitative Finance Analyst, or roles in banking, asset management, policy analysis, economic advisory, and consultancy.

Because the degree combines strong mathematical training with knowledge of economics and finance, you gain both analytical depth and insight into financial/economic systems — a combination many employers in finance, consulting, government, and economics‑driven sectors value highly.

What the Degree Would Offer (Curriculum, Skills & Advantages)

• Solid mathematics foundation — Core mathematics (calculus, linear algebra, probability & statistics, mathematical modelling, possibly numerical methods), giving you strong quantitative and analytical skills.

• Core economics training — Fundamental economics: microeconomics, macroeconomics, economic theory — to understand economic behaviour, markets, policy dynamics, and economic modelling.

• Finance and financial‑economics modules — Courses in financial markets, corporate finance, investment theory, risk, asset pricing, banking, financial data analysis — connecting mathematical tools to real financial and economic contexts.

• Interdisciplinary and flexible skill set — Able to analyse data, build models, apply statistical methods; understand economic systems; evaluate financial products/investments; assess risks; forecast economic/market trends — giving versatility for finance, economics, data science or policy roles.

• Preparation for data‑driven financial/economic roles — Combining maths with finance and economics you’d be prepared for roles requiring modeling, quantitative analysis, economic forecasting, financial risk assessment, investment analysis, or economic consultancy.

• Fall‑back and breadth — Even if you decide not to work directly in finance or economics, you retain strong mathematical and analytical grounding — which remains valuable for data analytics, research, quantitative modelling, or scientific and technical roles.

Further Academic or Professional Progression

After finishing a degree like this, graduates could go on to:

• Master’s programmes — in finance, financial mathematics, economics, econometrics, data science, economic policy, financial engineering, business analytics, or related fields.

• Research or policy roles — Working in economic research institutions, think‑tanks, government economics departments, financial think‑tanks, or consultancy firms.

• Finance and investment careers — In banking, investment firms, asset management, risk management, financial consulting, or fintech.

• Data‑driven and analytics roles — Data analysis, quantitative modelling, business analytics, financial data analytics, economic forecasting, actuarial work, or market research.

• Graduate schemes or exams — Possibly preparing for professional qualifications (finance, risk, economics, or actuarial), using the strong quantitative and economic foundation as a basis.