BSc in Mathematics with Finance and Investment Banking

The BSc Mathematics with Finance and Investment Banking is a three-year full-time undergraduate degree that combines a solid foundation in mathematics with modules in finance, investment, and financial markets. The programme is designed for students who want to pursue careers in finance, banking, data analytics, or other quantitative fields while developing strong analytical and problem-solving skills.

Unlike the placement year variant, this degree focuses on academic and technical knowledge but still integrates practical learning through projects, simulations, and applied modules.

Experiential Learning — How You Learn and Develop Skills

Students gain both theoretical and applied experience through a combination of lectures, tutorials, and projects:

• Core mathematical modules: Calculus, linear algebra, probability, statistics, differential equations, and mathematical modelling, providing a strong quantitative foundation.

• Finance and investment modules: Introduction to finance, securities, trading simulations, financial markets, and applied financial mathematics.

• Optional advanced modules: In later years, students can select modules in applied mathematics, stochastic processes, number theory, computational mathematics, or finance-focused topics to tailor their degree.

• Research and project work: Students complete project assignments and a final-year dissertation to develop analytical thinking, independent research skills, and effective communication of complex mathematical and financial concepts.

• Small-group tutorials and workshops: Regular tutorials foster collaborative problem-solving and personalised guidance.

• Software and digital tools: Training in mathematical and statistical software for modelling, simulation, and data analysis, preparing students for practical applications in finance and analytics.

Skill Development & Career Readiness

Graduates gain:

• Strong mathematical and analytical skills applicable in finance, data science, and quantitative research.

• Knowledge of financial systems, investment banking, and financial markets.

• Experience with data modelling, computational tools, and financial simulations.

• Independent project and research skills, enhancing problem-solving and communication abilities.

• Preparation for careers in finance, banking, investment analysis, consulting, data analytics, or postgraduate study.

Who This Programme Is Best For

• Students aiming to combine strong mathematics skills with finance and investment knowledge.

• Those who want a quantitative foundation for careers in finance, banking, or analytics, without taking a placement year.

• Students who value a flexible degree structure with opportunities to specialise in applied mathematics or finance topics.

• Individuals seeking preparation for postgraduate study or professional finance qualifications.

Graduates from a BSc Mathematics with Finance and Investment Banking would be well-prepared for careers such as:

• Financial Analyst / Investment Analyst

• Risk Analyst (banking or insurance)

• Quantitative Finance Analyst or Financial Modeller

• Portfolio/Asset Management Analyst

• Banking Consultant / Corporate Finance Analyst

• Data‑Driven Finance Specialist

Because the degree combines rigorous mathematical training with financial and market knowledge, you’d have both strong analytical capabilities and understanding of finance — a combination valued in banking, investment, asset management, fintech, and consulting firms.

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

• Foundational mathematics training — Core mathematics topics (calculus, algebra, statistics, probability, mathematical modelling, differential equations, possibly numerical methods), giving you strong analytical and quantitative grounding.

• Finance and investment banking coursework — Dedicated modules in financial markets, corporate finance, investment theory, risk management, asset pricing, financial data analysis, maybe derivatives, portfolio theory, banking operations, and investment banking fundamentals.

• Integration of maths and finance — Training that allows you to use mathematical modelling, statistics, and quantitative methods to analyse financial data, assess risk, model assets, or price instruments.

• Preparation for finance‑sector work — Skills useful for roles in banking, investment firms, asset management, risk analysis, fintech, financial consulting, or corporate finance.

• Flexibility to pivot — Even if you later decide not to work in banking, the strong mathematics base keeps options open: data science, analytics, actuarial work, research, or other quantitative fields.

Further Academic or Professional Progression

After completing the degree, possible paths include:

• A master’s in finance, financial mathematics, quantitative finance, data science, economics, or related fields.

• Entry into graduate trainee / entry-level finance roles within banks, investment firms, asset management firms, insurance companies, fintech companies, or financial consultancies.

• Pursuing professional certifications — for example, CFA (Chartered Financial Analyst), FRM (Financial Risk Manager), or actuarial exams — with the mathematics background giving you a strong foundation for the quantitative components.

• Transition into data science, financial analytics, econometrics, or risk modelling roles — especially where quantitative finance intersects with data-driven decision making and technology.