BSc Mathematics with Statistics

3 Years On Campus Bachelors Program

University of Bristol

Program Overview

The BSc Mathematics with Statistics at Bristol is a three‑year degree that combines rigorous mathematical theory with strong statistical training, giving you a powerful toolkit for analysing uncertainty, modelling risk, and working with data. It’s ideal for students who love logical reasoning and are fascinated by probability, inference, and real-world statistical applications.

Curriculum Structure

Year 1:
In your first year, you’ll study a broad foundation in pure, applied, and statistical mathematics. You’ll take core modules in calculus, algebra, and introductory statistics, while small‑group tutorials and lectures help you build a strong mathematical base. This year also provides early exposure to statistical computing, giving you hands‑on experience with data analysis from the very start.

Year 2:
In the second year, you begin to specialise more heavily in statistics and probability, while still having the option to study other areas of mathematics. You’ll take core units like Calculus and Mathematical Programming, but with increased focus on probabilistic models and statistical methods.

Year 3:
In your final year, you’ll choose from a wide range of options to tailor your degree to your interests. Optional units include topics such as Complex Networks, Probability, Financial Risk Management, and Mathematics in Schools. You will also complete an independent final-year project, supervised by expert faculty, which allows you to explore a statistical or mathematical problem in depth.

Focus Areas

Probability theory, statistical inference, risk modelling, data analysis with R, mathematical modelling.

Learning Outcomes

You will graduate with strong quantitative reasoning, the ability to model uncertainty and data-driven systems, practical experience in statistical computing, and the capacity to conduct independent research via your final-year project.

Professional Alignment (Accreditation)

This degree is accredited by the Institute of Mathematics & its Applications (IMA), the Royal Statistical Society (RSS), and the Institute and Faculty of Actuaries (IFoA). Graduates who achieve at least a second-class honours degree are entitled to Graduate Statistician status with the RSS.

Reputation (Employability / Rankings)

The University of Bristol is ranked in the UK top 5 for mathematics research.
Bristol’s teaching quality in mathematics is strong and respected, giving you a competitive edge for careers in data science, finance, analytics, actuarial work, and more.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics with Statistics degree at Bristol combines rigorous mathematics with practical statistical techniques, preparing you to analyse data, model uncertainty, and solve real-world problems. From the first year, you’ll engage in problem-solving, computational exercises, and statistical analysis, building skills that are directly applicable in research, industry, and finance. By the final year, you’ll complete an independent project, applying statistical and mathematical methods to a dataset or theoretical problem of your choice.

Here’s how experiential learning is embedded in this programme:

Mathematics & Statistics Problem Classes: Small-group tutorials where you work through problems collaboratively with peers and tutors, building analytical and logical reasoning.
Computational Tools & Statistical Software: Use of R, Python, and MATLAB to perform statistical analysis, modelling, and simulations.
Final Year Independent Project: Conduct a substantial research project applying statistical or mathematical techniques to a real or simulated dataset, under the guidance of an academic supervisor.
Research-Led Teaching: Modules are taught by staff active in statistical and mathematical research, ensuring your learning is connected to current developments in the field.
Tutorials & Academic Mentoring: One-to-one support from personal tutors, combined with drop-in sessions for advice on coursework, problem-solving, and data analysis.
Applied Group Projects: Collaborative modules where students analyse data, interpret results, and present findings, mirroring professional practice.
Flexible Module Choices: Later years allow you to select optional units in pure mathematics, applied mathematics, probability, and statistics to tailor your degree.
Library & Study Resources: Access to extensive mathematics and statistics texts, journals, and online databases for independent study and research.
Seminars & Workshops: Participation in departmental seminars and workshops provides exposure to current research and practical applications of mathematics and statistics.

Progression & Future Opportunities

Graduates from Bristol’s BSc Mathematics with Statistics are equipped with strong analytical, quantitative, and statistical skills, making them highly employable in data science, finance, research, and technology. Typical roles include Data Analyst, Statistician, Quantitative Analyst, and Research Assistant. Bristol ensures students are career-ready through professional support, industry links, and academic excellence:

University Career Services: Students have access to one-to-one career mentoring, CV and interview workshops, employer networking events, and alumni connections, helping them secure roles in analytics, finance, research, and consultancy.
Employment stats and salary figures: Around 85% of graduates in mathematics and statistics enter graduate-level work or further study within 15 months of graduation, with typical early-career salaries of £30,000–£32,000.
University–industry partnerships: Bristol maintains strong links with employers in finance, consulting, government, and data-driven industries, offering internships, industry projects, and graduate recruitment opportunities.
Long-term accreditation value: The Mathematics component is accredited by the Institute of Mathematics and its Applications (IMA), and the statistical training aligns with professional standards, supporting pathways to chartered status or professional qualifications.
Graduation outcomes: Graduates leave with excellent analytical, computational, and statistical skills, making them competitive for roles in data science, finance, research, technology, and consultancy.

Further Academic Progression:
Graduates can continue to postgraduate study such as MSc Data Science, MSc Statistics, MSc Financial Mathematics, or a PhD in Mathematics or Statistics. The program also provides a strong foundation for professional qualifications, research roles, or specialized analytics positions in industry and government.