Mathematics and Statistics BSc

3 Years On Campus Bachelors Program

University of Leeds

Program Overview

The Mathematics and Statistics BSc at the University of Leeds combines rigorous mathematical theory with practical statistical techniques, equipping students to analyse data and solve complex problems. It’s ideal for students aiming for careers in data science, finance, research, or for progression to postgraduate study.

Curriculum structure

Year 1 – Core mathematical and statistical foundations
In your first year, you’ll study modules such as Calculus, Linear Algebra, Probability, and Introduction to Statistics, building a strong analytical and quantitative foundation. These modules introduce the key concepts used in both mathematics and statistics.

Year 2 – Developing depth and applied skills
The second year deepens your knowledge with modules such as Statistical Inference, Regression and Modelling, and Real Analysis. You’ll start applying mathematical and statistical methods to practical and theoretical problems.

Year 3 – Advanced mathematics and statistics
In your final year, you’ll study advanced modules such as Stochastic Processes, Time Series Analysis, and Multivariate Statistics. Many students also complete a final-year project, integrating mathematical and statistical knowledge to tackle a substantial data-driven or theoretical problem.

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

Learning outcomes:
Strong analytical and statistical reasoning, ability to model 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):
The University of Leeds is consistently ranked highly in the QS World University Rankings by Subject for Mathematics and Statistics, and is recognised for excellent graduate employability.

Experiential Learning (Research, Projects, Internships etc.)

At Durham University, the Mathematics and Statistics BSc degree is designed to equip you with strong analytical, computational, and statistical skills, blending rigorous mathematical theory with practical data-handling experience. From your first year, you’ll engage in hands-on learning through statistical modelling, programming, and applied problem-solving, supported by research-led teaching and specialist facilities. The programme prepares you for careers in data analysis, finance, actuarial science, or further study:

Dedicated computing facilities within the Department of Mathematical Sciences, used for statistical computing, mathematical modelling, and data analysis coursework
Regular use of R, Python, MATLAB, and statistical software, integrated into modules covering probability, statistical inference, stochastic processes, and applied mathematics
Problem-solving tutorials and group-based coursework, promoting collaboration and real-world application of mathematical and statistical methods
Research-led teaching, delivered by academics actively working in statistics, probability, applied mathematics, and data science
Opportunities for individual projects, allowing you to explore mathematical or statistical topics in depth and gain research experience
Teaching and study spaces across Durham’s mathematics facilities, including lecture theatres, seminar rooms, and quiet study areas
Full access to the Durham University Library, providing extensive mathematics and statistics textbooks, journals, online databases, and study resources
Embedded career and academic support, preparing students for roles in data analytics, finance, actuarial work, quantitative research, and postgraduate study

This programme is ideal if you want a mathematics degree with a strong statistical component, combining theoretical understanding with practical computational skills and real-world data applications.

Progression & Future Opportunities

Graduates from the Mathematics and Statistics program are highly employable in careers such as data science, actuarial work, financial analysis, and research:

University Services for Employment: Leeds Careers Centre offers one-to-one career guidance, CV and interview workshops, internship support, and access to networking events and employer connections tailored for mathematics and statistics students.
Employment Stats and Salary Figures: Over 90% of graduates secure employment or further study within six months, with starting salaries typically ranging from £25,000–£42,000.
University–Industry Partnerships: The program collaborates with financial institutions, tech companies, and research organizations, providing internship placements, live projects, and guest lectures.
Long-Term Accreditation Value: Accredited by the Institute of Mathematics and its Applications (IMA), supporting professional recognition and eligibility for chartered mathematician status.
Graduation Outcomes: Graduates often move into roles in data analysis, actuarial science, financial modelling, quantitative research, and academic or industrial research.

Further Academic Progression:
Graduates can pursue MSc or PhD programs in Mathematics, Statistics, Financial Mathematics, Data Science, or Applied Mathematics, preparing them for advanced research or specialist industry careers.