BSc Mathematics with Statistics

3 Years On Campus Bachelors Program

University of Southampton

Program Overview

The BSc Mathematics with Statistics at the University of Southampton combines rigorous mathematical training with a strong focus on statistical methods and data analysis. It’s ideal for students who want to develop analytical and quantitative skills for careers in data science, finance, 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 Foundations of Mathematics, alongside Introduction to Statistics. These modules develop your analytical reasoning, problem-solving skills, and understanding of how mathematics supports statistical analysis.

Year 2 – Developing applied skills
The second year introduces more advanced topics such as Probability, Regression and Statistical Modelling, and Differential Equations. You’ll learn how to analyse data, model uncertainty, and apply mathematical methods to practical problems.

Year 3 – Advanced statistics and mathematics
In your final year, you’ll study advanced modules like Stochastic Processes, Statistical Inference, and Applied Mathematics. A final-year project allows you to integrate your mathematical and statistical knowledge, tackling a research or data-driven problem.

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

Learning outcomes:
Strong analytical and statistical skills, ability to model and interpret data, advanced problem-solving and mathematical reasoning, preparation for careers in data-focused or quantitative roles

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting professional recognition and career progression in quantitative fields.

Reputation (employability & rankings):
The University of Southampton is recognised in the QS World University Rankings by Subject for Mathematics and Statistics and is noted for strong graduate employability and research-led teaching.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Southampton, the BSc Mathematics with Statistics degree is designed to give you a strong foundation in both mathematics and statistics, with a focus on practical, real-world applications. From your first year, you’ll gain hands-on experience with data analysis, modelling, and statistical computing, supported by research-active academics and modern teaching facilities. The programme blends theory with practice, helping you develop skills that are highly sought after in data-driven industries:

Specialist computing facilities within the School of Mathematical Sciences, supporting statistical analysis, modelling, and computational coursework
Extensive use of R, Python, MATLAB, and Excel, embedded into modules covering probability, statistical modelling, data analysis, and applied mathematics
Group-based problem-solving and coursework projects, encouraging teamwork and real-world application of mathematical and statistical methods
Research-led teaching, delivered by academics active in statistics, probability, and applied mathematics
Opportunities for individual projects, allowing you to explore statistical or mathematical topics in depth and gain research experience
Teaching and study spaces in the Zepler Building, providing lecture theatres, seminar rooms, and computing labs
Full access to the Hartley Library, offering textbooks, journals, databases, and resources for mathematics and statistics
Career-focused support embedded in the programme, helping prepare you for roles in data analysis, finance, research, and technology

This programme is ideal if you want a mathematics degree with a strong statistical component, combining theoretical knowledge with practical, data-driven skills.

Progression & Future Opportunities

Graduates from the BSc Mathematics with Statistics program are well-equipped for careers in data analysis, actuarial science, finance, and research roles:

University Services for Employment: The Careers and Employability Service offers one-to-one advice, workshops on CVs and interviews, internship opportunities, and access to employer networking events tailored for mathematics and statistics students.
Employment Stats and Salary Figures: Around 90% of graduates secure employment or further study within six months, with starting salaries typically ranging from £25,000–£40,000.
University–Industry Partnerships: The program collaborates with leading financial institutions, tech firms, and research organizations, offering practical projects, internships, and industry guest lectures.
Long-Term Accreditation Value: Accredited by the Institute of Mathematics and its Applications (IMA), enhancing professional recognition and eligibility for chartered mathematician status.
Graduation Outcomes: Graduates pursue careers in data science, actuarial work, financial analysis, risk management, and academic research, demonstrating strong quantitative and analytical skills.

Further Academic Progression:
Graduates can continue to postgraduate studies such as MSc or PhD programs in Mathematics, Statistics, Data Science, Financial Mathematics, or Applied Mathematics, preparing for advanced careers in research, academia, or specialized industries.