BSc in Mathematics with Finance and Investment Banking with Placement Year

4 Years On Campus Bachelors Program

University of Reading

Program Overview

This four-year undergraduate programme combines a strong mathematics education with a full-year professional placement in finance or investment banking. It’s ideal for students who want both rigorous analytical skills and practical industry experience, preparing them for high-demand careers in banking, investment, data analytics, and quantitative finance.

Curriculum Structure

Year 1 – Core Foundations

The first year introduces fundamental mathematical and finance topics. Modules include Calculus, Linear Algebra, Probability & Statistics, Differential Equations, and Mathematical Modelling. Alongside this, you begin exploring financial principles such as introductory financial mathematics, markets, and investment theory. This year provides the essential skills needed for advanced study and industry application.

Year 2 – Building Depth and Analytical Skills

In the second year, you deepen both mathematics and finance knowledge. You study advanced mathematical topics such as Vector Calculus, Numerical Methods, Operational Research, and Advanced Probability. On the finance side, you learn intermediate investment theory, financial analysis, risk management, and financial modelling. This combination equips you with strong analytical and quantitative skills, bridging theory and practical applications.

Year 3 – Placement Year

The third year is a full-time professional placement in finance, investment banking, or a related quantitative field. The university supports you in finding roles, preparing your CV, and building workplace skills. This year provides practical experience, professional insight, and enhances employability, allowing you to apply your mathematical and financial knowledge in real-world scenarios.

Year 4 – Advanced Study & Project

Returning from placement, you complete advanced mathematics and finance modules, choosing optional areas such as FinTech, Private Equity & Venture Capital, Applied Stochastic Processes, Partial Differential Equations, or Cryptography. You also undertake a substantial independent project, applying mathematical, statistical, and financial techniques to a complex problem. This final year consolidates your expertise and prepares you for graduate-level work or professional roles.

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 linking mathematics with finance.

Learning Outcomes

Graduates will have strong analytical, quantitative, and problem-solving skills; a solid foundation in both mathematics and finance; practical industry experience; and the ability to apply mathematical tools to financial and investment challenges.

Professional Alignment (Accreditation)

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

Reputation & Employability

Graduates benefit from the strong reputation of the Mathematics and Statistics Department and practical exposure to finance tools and industry practices. Career paths 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 degree because it includes a full, compulsory placement year between your second and final year.

The programme combines rigorous mathematics study with finance and investment banking modules, equipping you for quantitative roles in finance, banking, data analysis, or further study. The mathematics component is accredited by the Institute of Mathematics and its Applications, providing strong academic credentials alongside professional skills.

Curriculum & Learning Structure

Early years (1–2): Core mathematics modules such as calculus, linear algebra, probability, statistics, and foundational mathematics. Simultaneously, students begin finance and investment banking modules like introductory finance, securities, and trading simulations.
Later years (after placement): Optional modules allow specialisation in applied mathematics, advanced mathematics, or finance-related topics.
Teaching methods: Combination of lectures, small-group tutorials, project work, and supervised classes for both mathematics and finance.

Placement Year — Real Industry Experience

Year 3: A full year working in industry (finance, banking, analytics, or related sectors), applying classroom knowledge to real-world challenges.
Develop practical skills such as data handling, modelling, professional communication, teamwork, time management, and understanding business/finance workflows.
Gain a competitive advantage for employment, as you graduate with concrete industry experience and professional references.

Programme Benefits & Career Readiness

Graduates gain a combination of mathematics, finance knowledge, and practical industry experience.
Prepares you for careers in quantitative finance, analytics, risk management, trading, banking, or data science, as well as further study or research.
Finance teaching includes practical simulations, giving insight into real market operations while still studying.
The placement year enhances your CV and employability, providing hands-on experience in professional settings.
Accredited mathematics modules ensure strong academic grounding for postgraduate study or professional certification.

Who This Programme Is Best For

Students aiming to combine strong mathematical ability with finance and investment skills.
Those who want industry experience before graduating.
Students interested in quantitative careers, analytics, or postgraduate study.
Individuals who want a degree that balances theory, applied mathematics, and professional practice.

Progression & Future Opportunities

Graduates from a BSc Mathematics with Finance & Investment Banking with Placement Year would be well-suited for roles such as:

Financial Analyst / Investment Analyst
Risk Analyst in banking or insurance
Quantitative Finance / Quantitative Analyst
Asset Management / Portfolio Management Associate
Banking Consultant / Corporate Finance Analyst
Data-Driven Finance Specialist or Financial Modeller

Because the degree combines deep mathematical training, financial and investment knowledge, and a year of practical work experience, it would prepare you for both graduate-entry finance roles and more technically demanding quantitative finance positions.

What a University Would Offer Through This Degree

Strong foundational mathematics training — Core modules in calculus, algebra, probability, statistics, differential equations, mathematical modelling, and numerical methods.
Specialised finance & investment banking coursework — Dedicated modules in financial markets, corporate finance, investment theory, risk and portfolio management, banking operations, financial data analysis, derivatives pricing, and possibly banking regulation or sustainable finance.
Placement Year in industry — A full-year placement in banking, investment firms, financial institutions, asset management, insurance, or fintech, giving practical experience, professional contacts, and enhanced employability.
Development of quantitative finance skills — Combining mathematical rigour with finance, risk assessment, modelling, and data-driven decision-making.
Professional and analytical skill development — Emphasis on communication, quantitative analysis, financial modelling, data interpretation, and ethical/regulatory awareness, preparing students for finance industry demands.
Flexibility and fallback options — The strong mathematics component allows entry into data science, analytics, actuarial work, research, or other industries that value quantitative skills, even if banking or finance is not pursued.

Further Academic or Professional Progression

After completing such a degree, graduates could:

Pursue a master’s in finance, quantitative finance, financial mathematics, risk management, or economics.
Apply for graduate trainee roles in banks, investment firms, financial consultancies, asset management firms, fintech startups, or insurance companies.
Work toward professional certifications (e.g., CFA, FRM, actuarial exams), leveraging strong mathematical training.
Transition into data science, financial engineering, econometrics, or analytics-based roles, where modelling, risk analysis, or quantitative finance intersects with technology and data.