BSc Mathematics with Finance and Investment Banking with International Foundation Year

4 Years On Campus Bachelors Program

University of Reading

Program Overview

This four-year undergraduate degree begins with an international foundation year and progresses into a specialised mathematics and finance programme. It’s ideal for students aiming to develop strong analytical and quantitative skills alongside practical knowledge of financial markets, investment banking, and data-driven finance roles.

Curriculum Structure

Year 0 – International Foundation Year

The foundation year prepares students for undergraduate study in mathematics and finance. You develop core academic skills, including mathematics fundamentals, statistics basics, study and research skills, and an introduction to finance and business concepts. This year ensures that all students, regardless of prior qualifications, are ready to tackle degree-level material confidently.

Year 1 – Core Mathematics and Finance Principles

The first year of the degree introduces fundamental mathematics and finance concepts. You study modules such as Calculus, Linear Algebra, Probability & Statistics, and Mathematical Modelling, building the analytical and problem-solving skills necessary for more advanced study. Alongside this, you begin exploring financial principles, including the basics of markets, investment concepts, and introductory financial mathematics. This combination provides a strong foundation in both disciplines.

Year 2 – Developing Depth and Analytical Skills

The second year focuses on broadening and deepening your knowledge in both mathematics and finance. You take advanced mathematics modules such as Vector Calculus, Differential Equations, Numerical Methods, and Operational Research, strengthening your computational and modelling abilities. On the finance side, you explore intermediate topics in investment theory, risk management, financial analysis, and financial modelling. The year equips you with the skills to analyse and solve more complex problems in both areas.

Year 3 – Specialisation and Project Work

In the third year, you begin to specialise in areas of interest within mathematics and finance. You select optional modules such as FinTech, Private Equity & Venture Capital, Applied Stochastic Processes, Number Theory & Cryptography, or Partial Differential Equations. You also undertake project work, applying mathematical and statistical tools to real-world financial problems. This combination of specialisation and applied work strengthens your employability and prepares you for professional or academic opportunities.

Year 4 – Advanced Topics and Independent Research

The final year consolidates your advanced knowledge and allows you to demonstrate independent learning. You study high-level mathematics and finance modules, such as Advanced Probability, Financial Modelling, Applied Mathematics, and Quantitative Methods for Finance. You also complete a significant independent project or dissertation, applying mathematical, statistical, and financial techniques to a complex problem. This final year ensures you graduate with both in-depth academic knowledge and practical experience relevant to your future career.

Focus Areas

Mathematics (calculus, algebra, statistics, numerical analysis, mathematical modelling) | Finance & Investment Banking (financial theory, investment principles, markets, risk management) | Computational and quantitative methods | Applied interdisciplinary skills connecting mathematics with finance.

Learning Outcomes

Graduates will have strong quantitative, analytical, and problem-solving skills; the ability to apply mathematical techniques to financial and investment scenarios; experience in independent project work; and readiness for careers in finance, banking, investment, actuarial work, data analysis, or further study.

Professional Alignment (Accreditation)

The programme aligns with the educational standards of the Institute of Mathematics and its Applications (IMA), providing a recognised mathematics foundation alongside finance expertise.

Reputation & Employability

Graduates benefit from a strong mathematics department and practical finance exposure, including simulations and real-world tools. Career opportunities include investment banking, financial analysis, risk management, quantitative finance, data analytics, actuarial work, and postgraduate study.

Experiential Learning (Research, Projects, Internships etc.)

This is a four-year full-time undergraduate degree. The first year is an International Foundation Year, designed for students who do not meet the standard entry requirements. It provides the academic grounding and study skills needed to succeed in the main BSc program.

After the foundation year, students progress into the BSc Mathematics with Finance and Investment Banking, which combines rigorous mathematical training with modules in finance, investment banking, and financial markets. Graduates leave with strong analytical, quantitative, and financial skills, as well as a qualification recognized internationally.

Experiential Learning — How You Learn and Gain Skills

Students develop both academic and practical skills through structured teaching, tutorials, and project work:

Foundation Year (Year 0): Focuses on academic skills, mathematics, and introductory finance concepts, helping students transition smoothly to undergraduate-level study.
Core mathematics and finance modules: Once in the main BSc, students study calculus, linear algebra, probability and statistics, differential equations, mathematical modelling, and finance-related modules.
Optional advanced modules: In later years, students can tailor their studies by selecting modules such as fintech and cryptocurrencies, private equity and venture capital, applied stochastic processes, number theory and cryptography, or partial differential equations.
Project and dissertation work: Students undertake mathematical or statistical projects, developing independent research, analysis, and presentation skills.
Supportive learning environment: Weekly tutorials and departmental support help students engage with complex material and build confidence in applying mathematical concepts to financial contexts.

Skill Development & Career Readiness

Graduates develop:

Strong mathematical expertise combined with finance and investment banking knowledge.
Practical analytical and problem-solving skills, applicable to real-world financial and quantitative contexts.
Research and project experience, including independent analysis and technical reporting.
Transferable professional skills, including communication, teamwork, and time management.
Preparation for careers or postgraduate study in finance, investment banking, data analysis, quantitative research, or mathematics-related industries.

Who This Programme Is Best For

Students who want to combine mathematics with finance and investment banking.
Those who need an International Foundation Year to transition to undergraduate study.
Students aiming for careers in finance, banking, trading, risk analysis, data science, or quantitative analysis.
Those who want flexibility to choose modules and tailor their degree toward mathematics, finance, or a combination of both.
Individuals planning to pursue postgraduate study or technical roles requiring strong mathematics and financial knowledge.

Progression & Future Opportunities

This type of degree gives you a strong mathematical foundation, combined with finance and investment banking knowledge, plus a foundation year to build up prerequisites if needed. Graduates would be well-prepared for roles such as Financial Analyst, Investment Banker, Risk Analyst, Quantitative Finance Analyst, Banking Consultant, Data‑Driven Finance Specialist, or roles in investment management, corporate finance, financial modelling, or fintech.

Because of the combination — mathematics + finance knowledge + an initial foundation to ensure you start on equal footing — you’d have both technical skills and financial market awareness, giving you an advantage if you aim for finance-sector careers.

What the Degree Would Offer (Support, Curriculum & Opportunities)

Foundation Year to build prerequisites — The first year helps students lacking in certain academic prerequisites to get up to speed in mathematics, statistics, and foundational quantitative skills before beginning the full finance‑mathematics track.
Blended mathematics + finance curriculum — Core mathematics (calculus, algebra, probability, statistics) plus dedicated modules in finance, corporate finance, investment banking, financial markets, risk, financial modelling, asset pricing, perhaps derivatives, banking law/regulation, and financial data analysis.
Development of both quantitative and financial/market skills — You’d learn mathematical modelling, data analysis, statistical reasoning — while also understanding financial systems, markets, investment strategies, risk assessment, and banking operations.
Strong employability appeal in finance/ banking / investment sectors — Employers in banks, investment firms, asset management, insurance, fintech — in roles requiring both strong quantitative and finance knowledge — would find this profile valuable.
Flexibility of mathematics degree — Even if you decide not to work in finance, you still retain robust mathematics training, opening doors to data science, analytics, modelling, actuarial science, research, or postgraduate study.

Further Academic Progression:

After such a degree, you could:

Pursue a master’s or postgraduate qualification in finance, financial mathematics, quantitative finance, data science, risk management, or economics.
Enter specialist finance roles — investment banking, asset management, financial analysis, trading, risk, consulting, or fintech.
Transition into analytics, data science, actuarial science, or research roles that value strong mathematics and modelling skills.