BSc Mathematics with Statistics for Finance

3 Years On Campus Bachelors Program

University of Bristol

Program Overview

The BSc Mathematics with Statistics for Finance at the University of Bristol blends rigorous mathematical theory with real-world statistical techniques tailored specifically toward financial applications. It’s ideal if you love problem-solving, probability, and modelling — and you’re excited about a career in finance, risk management, or actuarial science.

Curriculum Structure

Year 1
In your first year, you’ll build a strong and broad foundation in pure, applied, and statistical mathematics. Compulsory modules include Analysis, Linear Algebra, Ordinary Differential Equations, Probability & Statistics, and a “Mathematical Investigations” unit where you work in small groups to explore mathematical problems. These courses are taught through lectures, tutorials, and hands-on problem-solving, giving you both depth and variety.

Year 2
In year two, the focus shifts more towards statistics and probability with direct relevance to finance, though you still have flexibility to pick from more theoretical options. Here, you might study Financial Mathematics, Statistical Modelling, and Risk Theory, enabling you to analyse financial data, understand risk quantitatively, and begin to develop the statistical toolkit used in financial institutions.

Year 3
In your final year, you gain academic independence through a significant independent project (or “Mathematics project unit”) where you can dive into a topic of your choice under faculty supervision — often in finance or statistics. On top of that, you choose advanced optional modules. These could include Financial Risk Management, Time Series, Stochastic Processes, or even more theoretical areas like Quantum Mechanics or Number Theory depending on your interests.

Focus Areas

Applied mathematics, probability & statistics, financial mathematics, risk modelling, independent research project

Learning Outcomes

By graduation, you will be able to formulate and solve complex mathematical models, analyze financial data using statistical methods, assess and quantify risk, and carry out an independent research project demonstrating deep technical understanding and communication skills.

Professional Alignment (Accreditation)

This degree is accredited by the Institute and Faculty of Actuaries (IFoA), the Institute of Mathematics and its Applications (IMA), and the Royal Statistical Society (RSS).

Reputation & Employability

Bristol is ranked among the UK top five for Mathematics research.
The programme meets professional standards such that graduates can work toward Chartered Mathematician status via the IMA and gain Graduate Statistician status through the RSS.
Employers highly value Bristol maths graduates for their analytical, quantitative, and problem-solving skills.

Experiential Learning (Research, Projects, Internships etc.)

When you study this degree at Bristol, you don’t just sit through lectures — you work in a space designed to spark collaboration, deep thinking, and real mathematical exploration. The School of Mathematics is housed in the beautifully refurbished Fry Building, which offers quiet study zones, group collaboration areas, and even a garden courtyard for informal brainstorming. As you progress, you'll have the chance to apply statistical theory in real-world financial contexts, build models, and complete an individual project that draws on cutting-edge research.

Here’s how experiential learning plays out in the course:

World‑class learning and study spaces: The Fry Building’s 140-seat lecture theatre, board-equipped student spaces, and dedicated collaboration zones support both formal and informal learning.
Research‑informed teaching: Through links to research institutes — such as the Heilbronn Institute for Mathematical Research, based right in the Fry Building — students engage with active research communities and may get exposure to real research methodology.
Independent project: In your final year, you design and carry out a substantial individual project, which often involves financial statistics or risk modelling — a great way to demonstrate applied skills and deepen technical expertise.
Small‑group and team‑based learning: From year one, you’ll work in tutorials and “Mathematical Investigations” units, collaborating closely with peers on exploratory problems.
Computing infrastructure: While there’s no course‑specific software listed publicly for finance modules, the School of Mathematics is supported by a strong computing infrastructure, and students receive desktop computers (Windows, Mac or Linux) as standard.
High‑performance research computing: The Mathematics department is involved in high-performance computing, with research-level clusters for advanced computation.

Progression & Future Opportunities

Graduates of this degree go on to thrive in a variety of high-level roles — from quantitative analysts and risk managers to data scientists and actuaries. With strong mathematical and statistical foundations, typical job roles include: Quantitative Analyst, Risk Analyst, Actuary, and Data Scientist.

Here’s how the University of Bristol supports your career progression and the real-world value of your degree:

Dedicated Career Support: The School of Mathematics provides 1‑on‑1 career coaching, employer-led workshops, recruitment events, and regular alumni networking (including the annual Maths Alumni Evening).
Strong Graduate Outcomes: According to Graduate Outcomes data, around 92% of graduates from mathematical sciences go on to work or study within 15 months, with 88% in highly skilled roles.
Earnings Potential: Median earnings are approximately £33,000 after 15 months, rising to £35,000 after three years and £47,500 after five years.
University–Industry Partnerships: Through the School of Mathematics, students can engage in internships, summer placements, and project work with external partners.
Long-Term Accreditation Value: The degree is accredited by the Institute and Faculty of Actuaries (IFoA), the Institute of Mathematics and its Applications (IMA), and the Royal Statistical Society (RSS) — giving you a strong professional foundation.
Diverse Graduate Destinations: Bristol mathematics graduates move into top employers across financial services, data analytics, consulting, and more — including firms like Deloitte, KPMG, Mercer, and government bodies like the ONS.

Further Academic Progression:
You also have strong options if you want to continue studying after your BSc. Many graduates choose to do a master’s or even a PhD in mathematics, statistics, or financial mathematics — either at Bristol or at other top institutions. For example, you might pursue an MSc in Mathematical Finance, MSc in Data Science, or a research-focused degree in applied probability or actuarial science, further enhancing your technical and research skills.