BSc Hons Financial Mathematics

3 Years On Campus Bachelors Program

Nottingham Trent University

Program Overview

The BSc (Hons) Financial Mathematics at Nottingham Trent University blends advanced mathematical skills with real-world financial knowledge, giving you the tools to model markets, analyse risk, and understand how financial systems operate. It’s ideal for mathematically driven students who want to apply quantitative thinking to careers in banking, finance, insurance, or investment analysis.

Curriculum Structure

Year 1

Your first year builds a strong foundation in mathematical methods while introducing core financial concepts. You’ll study modules such as Calculus, Data Analysis, Introduction to Linear Algebra and Computation, and Introduction to Discrete Mathematics and its Applications, which develop your analytical toolkit. Alongside this, Introduction to Economics and Finance and Accounting and Finance for Managers help you understand how mathematical logic supports financial decision-making.

Year 2

In the second year, you explore the deeper mathematical structures that underpin modern finance. You’ll take modules like Differential Equations, Probability and Statistical Inference, Mathematical Enterprise, and Discrete-Time Financial Mathematics, where you begin applying mathematical models to financial processes. Optional modules such as Linear Algebra and its Applications or Cryptography and Computational Complexity let you tailor your learning toward pure mathematics, data-driven analysis, or financial computation.

Placement Year (Optional Sandwich Year)

If you choose the four-year sandwich route, your placement year gives you the chance to work in a real financial or analytical environment. It allows you to apply the mathematical and statistical techniques you’ve learned while building valuable industry experience and boosting your employability.

Final Year

In your final year, you move into advanced financial modelling and complete a substantial project supervised by academic staff. Core modules include Project and Professional Skills and Continuous-Time Financial Mathematics, where you explore concepts such as derivative pricing and stochastic processes in financial markets. Optional modules may include Experimental Design and Machine Learning, Stochastic Processes, Linear Systems, or Optimisation, allowing you to specialise based on your career goals in finance, data, or quantitative analysis.

Focus Areas:
Financial modelling; probability and statistics; discrete-time and continuous-time finance; optimisation; stochastic processes; mathematical computation.

Learning Outcomes:
Ability to model financial systems mathematically, analyse and interpret quantitative data, apply statistical and computational methods to real financial problems, and communicate complex mathematical ideas clearly and professionally.

Professional Alignment (Accreditation):
This course is accredited by the Institute of Mathematics and its Applications (IMA) and contributes toward the educational requirements for achieving Chartered Mathematician status.

Reputation (Employability Rankings):
NTU is recognised for strong teaching quality, industry-focused learning, and high employability in mathematics and finance-related courses. Graduates progress into banking, actuarial science, investment analysis, data science, risk assessment, and broader financial services roles.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Financial Mathematics at NTU is designed to help you apply mathematical ideas directly to financial markets, risk management, and modelling. Throughout the course, you’ll work with real quantitative methods used across banking and finance. Computer-based workshops help you practise statistical analysis, build mathematical models, and run financial simulations. As your skills grow, the course becomes more applied — you explore option pricing, portfolio optimisation, and stochastic modelling using modern digital tools. In your final year, you complete an individual project supervised by a specialist, giving you hands-on experience researching a real financial mathematics topic.

Here’s how that hands-on learning experience takes shape:

Optional industry placement year: After your second year, you can complete a full year in industry, gaining professional experience in roles such as financial analysis, actuarial support, data science, or risk modelling.
Project & Professional Skills module: This module develops workplace-ready skills such as team collaboration, project planning, communication, and technical reporting.
Final-year research project: You work independently on a topic such as derivatives, option pricing, stochastic processes, actuarial modelling, or optimisation — guided by an academic supervisor.
Mathematical and statistical software: You use specialist software during computer-workshop sessions to build models, analyse data, and test financial theories through simulations.
Undergraduate research opportunities: Through NTU’s Mathematics Undergraduate Researchers Studentship, you can take part in short research placements with academic staff during the summer.
Diverse assessments: Your progress is measured through a mix of exams, coursework, presentations, lab reports, and group assessments — mirroring the variety of skills needed in quantitative finance.
Modern computing facilities: Teaching takes place in purpose-designed computer labs with strong computational resources for modelling, data analysis, and coding.
Campus-based specialist spaces: You study at Clifton Campus in buildings like the Erasmus Darwin Building and the Teaching and Learning Building, with access to study areas, computing suites, and innovation-focused spaces like VR labs and 3D printing facilities used for mathematical visualisation.
Academic and career guidance: Personal tutors and employability teams help you prepare for placements, internships, and quantitative finance careers.
Entrepreneurial support: NTU Enterprise offers guidance if you want to develop financial-modelling tools or business ideas based on mathematical concepts.

Progression & Future Opportunities

This degree blends advanced mathematics with finance, economics, and data-driven modelling — giving you the skills that global financial institutions actively seek. With this combination, you become well-prepared for careers such as risk analyst, actuarial analyst, quantitative modeller, or investment analyst.

Typical roles graduates secure:

Risk or Quantitative Analyst
Actuarial Analyst
Investment Analyst
Financial Modeller / Pricing Analyst
Data or Business Analyst in Finance
Financial Consultant
Academic or Researcher

What Makes This Degree Valuable for Your Career:

University Services & Employability Support
- You benefit from strong placement support, including a dedicated placements team that helps you secure a year-long work placement between Year 2 and Year 3.
- Students can apply for Mathematics Undergraduate Research Studentships (MURS), giving you hands-on research experience during the summer.
- NTU Enterprise supports students who want to explore entrepreneurship, helping you develop ideas related to finance, modelling, or tech.
Employment Statistics & Graduate Outcomes
- Around 97% of mathematics graduates at NTU are in employment or further study within 15 months of graduating.
- NTU has a consistently strong graduate employment record, showing the university’s commitment to preparing students for the job market.
- Graduates go into banking, investment firms, insurance, consultancy, and government roles, often entering technical and analytical positions.
Industry Engagement & Real-World Experience
- The optional placement year allows you to work within major finance or insurance companies, gaining experience in modelling, pricing, forecasting, and data analytics.
- Visiting tutors maintain close contact during your placement, ensuring your academic and professional development stays on track.
- The program is shaped around real financial mathematics applications, including derivative pricing, risk modelling, and statistical forecasting — skills employers rely on.
Accreditation & Long-Term Value
- The degree is accredited by the Institute of Mathematics and its Applications (IMA), supporting your progress toward Chartered Mathematician (CMath) status.
- You gain a deep mathematical foundation — calculus, algebra, probability, statistics — combined with finance modules, giving you long-term career flexibility.
- A mix of exams, coursework, team assessments, and a final-year project helps you build technical knowledge, communication skills, and analytical confidence.
Graduate Outcomes
- Many graduates progress into financial institutions, actuarial firms, risk management teams, or data-driven roles.
- Others choose postgraduate study in financial mathematics, quantitative finance, actuarial science, or applied mathematics.
- The placement year gives you a competitive advantage, improving confidence, experience, and employability.

Further Academic Progression:

After completing this BSc, you have several strong academic pathways:

Master’s Degrees: MSc in Financial Mathematics, Actuarial Science, Quantitative Finance, Data Science, or Applied Mathematics.
PhD / Research Pathway: You can advance into doctoral research in areas such as stochastic modelling, financial engineering, or statistical analysis.
Professional Qualifications: Many graduates pursue actuarial exams, quantitative finance certifications, or further training in financial modelling and risk management.
Fintech & Entrepreneurship: With strong quantitative and financial skills, you’re well positioned to enter fintech, start a venture, or build analytical tools for the finance sector.