BSc Mathematics and Statistics

3 Years On Campus Bachelors Program

Durham University

Program Overview

The BSc Mathematics and Statistics at Durham University combines rigorous mathematical theory with practical statistical analysis, making it ideal for students who enjoy working with data and solving complex problems. The programme prepares you for careers in data science, finance, actuarial work, research, or further postgraduate study.

Curriculum structure

Year 1 – Core mathematical and statistical foundations
In your first year, you’ll study essential modules such as Calculus, Linear Algebra, and Probability, alongside Introduction to Statistics. These modules build strong analytical skills and introduce the key statistical ideas used to analyse real-world data.

Year 2 – Developing depth and application
The second year deepens your understanding through modules like Statistical Inference, Regression Analysis, and Real Analysis. You’ll begin applying mathematical theory to practical statistical problems while strengthening your ability to reason abstractly.

Year 3 – Advanced mathematics and statistics
In your final year, you’ll choose from advanced modules such as Stochastic Processes, Time Series Analysis, and Advanced Statistical Modelling. Many students also complete a final-year project, allowing you to apply mathematical and statistical techniques to a substantial research or data-driven problem.

Focus areas:
Pure mathematics, applied mathematics, probability, statistics, data analysis, stochastic modelling

Learning outcomes:
Strong mathematical and statistical reasoning, ability to analyse and interpret data, advanced problem-solving skills, preparation for quantitative careers or postgraduate study

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting progression towards professional mathematical recognition.

Reputation (employability & rankings):
Durham University is consistently ranked highly in the QS World University Rankings and Complete University Guide for Mathematics and is known for excellent graduate employability and academic reputation.

Experiential Learning (Research, Projects, Internships etc.)

At Durham University, the BSc Mathematics and Statistics degree is designed to develop strong analytical, computational, and data-handling skills through hands-on learning and research-led teaching. From your first year, you’ll apply mathematical and statistical theory to real problems, working with data, models, and modern computational tools in a highly academic yet practical environment. Teaching is closely linked to ongoing research, and students benefit from excellent facilities that support both collaborative and independent study:

Dedicated computing laboratories within Durham’s Department of Mathematical Sciences, used for statistical computing, data analysis, and mathematical modelling
Regular use of R, Python, MATLAB, and statistical software, embedded into modules covering probability, statistical inference, data analysis, and applied mathematics
Problem-solving classes and group-based coursework, encouraging collaborative learning and practical application of mathematical and statistical methods
Research-led teaching, delivered by academics active in statistics, probability, applied mathematics, and data science
Opportunities for individual projects in later years, allowing you to explore mathematical or statistical topics in depth and gain research experience
Teaching and study spaces across Durham’s mathematics facilities, providing lecture theatres, seminar rooms, and computing access
Full use of the Durham University Library, offering extensive mathematics and statistics textbooks, specialist journals, online databases, and quiet study areas
Academic and employability support integrated into the degree, helping prepare you for careers in data analysis, finance, actuarial work, research, or postgraduate study

This programme is ideal if you want a rigorous mathematics degree with a strong statistical focus, combining theory, computation, and real-world application.

Progression & Future Opportunities

Graduates from the BSc Mathematics and Statistics program are highly competitive for analytical and data-driven careers, particularly in finance, actuarial science, data science, and research:

University Services for Employment: Durham’s Careers & Enterprise Centre provides personalised career coaching, CV and interview preparation, employer presentations, internship support, and access to exclusive graduate schemes targeting quantitative disciplines.
Employment Stats and Salary Figures: Around 90% of Durham mathematics graduates progress into employment or further study shortly after graduation, with typical starting salaries ranging from £28,000–£45,000 depending on sector.
University–Industry Partnerships: Durham maintains strong links with major employers such as PwC, Deloitte, EY, KPMG, and leading financial and consulting firms through employer talks, recruitment events, and alumni networks.
Long-Term Accreditation Value: The degree is accredited by the Institute of Mathematics and its Applications (IMA), supporting professional recognition and progression toward Chartered Mathematician status.
Graduation Outcomes: Graduates commonly move into roles including data analyst, actuarial analyst, quantitative finance associate, statistical consultant, or continue into academic research.

Further Academic Progression:
Graduates can progress to MSc or PhD study in Mathematics, Statistics, Data Science, Financial Mathematics, or related quantitative disciplines. The strong theoretical and statistical foundation also supports pathways into interdisciplinary research and specialist professional qualifications.