BSc Mathematics with Statistics

3 Years On Campus Bachelors Program

Imperial College London

Program Overview

This three-year undergraduate degree combines rigorous mathematical theory with a strong focus on statistics and probability, equipping you for careers in data science, analytics, finance, and research. It is ideal for students who enjoy both abstract mathematics and applied quantitative work, offering a balance between theoretical depth and practical application.

Curriculum Structure

Year 1:
The first year lays a solid foundation in both mathematics and introductory statistics. Core modules include Analysis 1, Linear Algebra and Groups, Calculus and Applications, Probability and Statistics, Introduction to Computation, An Introduction to Applied Mathematics, and an Individual Research Project. These courses establish essential problem-solving, logical reasoning, and computational skills.

Year 2:
The second year deepens your understanding of mathematics and statistics through core modules such as Probability for Statistics, Statistical Modelling 1, Analysis 2, Linear Algebra and Numerical Analysis, Multivariable Calculus and Differential Equations, and a Group Research Project. Optional modules, such as Groups and Rings, Network Science, or Partial Differential Equations in Action, allow you to begin specialising and tailoring your degree.

Year 3:
In the final year, you focus on advanced statistical techniques and applications. You select at least five modules from the statistics group — for example Applied Probability, Stochastic Simulation, Statistical Theory, Time Series Analysis, or Survival Models — along with additional modules from a broader mathematical selection, such as Functional Analysis or Methods for Data Science. A major research project may also be undertaken, enabling you to apply your skills to a substantial, practical problem.

Focus areas: Probability and statistics, statistical modelling, stochastic simulation, applied mathematics, multivariable calculus, numerical methods

Learning outcomes: Develop rigorous mathematical reasoning, apply statistical inference and modelling techniques to real-world problems, integrate computational methods with mathematical theory, and prepare for careers or further study in analytics, finance, research, or data-driven industries

Professional alignment (accreditation): While not linked to a professional engineering accreditation, the programme is delivered by Imperial’s world-renowned Department of Mathematics, ensuring high academic standards and strong recognition among employers

Reputation (employability rankings): Imperial College London is globally recognised for mathematics and statistics. Graduates are highly employable, with the majority entering careers in analytics, finance, research, technology, or pursuing postgraduate study in mathematics, statistics, or related fields.

Experiential Learning (Research, Projects, Internships etc.)

The BSc Mathematics with Statistics at Imperial College London combines rigorous mathematical theory with applied statistical skills, giving you a strong foundation in both abstract reasoning and real-world data analysis. The programme is designed to develop your analytical thinking, problem-solving abilities, and statistical modelling expertise through a mix of lectures, tutorials, projects, and computational exercises.

Here’s how experiential learning is integrated into this programme:

Statistical Modelling and Simulation – Apply mathematical and statistical theory to simulate real-world scenarios, analyse data, and build predictive models.
Individual and Group Research Projects – Undertake early research projects and larger final-year investigations, allowing you to explore topics such as time-series analysis, stochastic processes, or applied probability.
Problem-Solving Tutorials and Teamwork – Participate in small-group problem classes and collaborative assignments that enhance analytical reasoning, communication, and collaborative skills.
Optional Modules for Specialisation – Choose from a wide range of advanced modules in statistics, probability, stochastic simulation, and pure mathematics to tailor your degree to your interests.
Computational and Digital Tools – Use industry-standard software and programming languages for statistical analysis, modelling, and simulations, developing practical skills alongside theoretical knowledge.
Dedicated Study and Support Spaces – Access computing labs, mathematics support centres, and collaborative learning areas to enhance independent study and group-based learning.
Exposure to Research and Seminars – Attend departmental workshops and seminars, connecting your coursework with current developments in mathematics and statistics research.

This combination of theoretical depth, statistical application, project-based investigation, and computational practice equips you to tackle challenges in data science, finance, quantitative research, analytics, risk modelling, and more, while also preparing you for advanced postgraduate study.

Progression & Future Opportunities

The BSc Mathematics with Statistics at Imperial College London is designed for students who want to combine the depth of mathematical theory with the analytical power of statistics. This degree equips you with the skills to interpret complex data, build predictive models, and solve quantitative problems that drive decision-making across industries. Graduates are well-prepared for roles such as Data Scientist, Statistician, Quantitative Analyst, and Risk Modeller in sectors ranging from finance and technology to healthcare and research.

Progression & Future Opportunities:

University services: Imperial’s Careers Service provides mathematics and statistics students with tailored one-on-one guidance, internship placements, and networking events with global employers. Specialist support is available for students targeting analytical and data-focused careers, including exclusive access to career fairs and alumni mentorship.
Employment stats & salary figures: About 89% of Imperial mathematics graduates are in work or further study within 15 months after graduation. Typical graduate salaries range between £40,000 and £52,000, reflecting the strong market demand for analytical and statistical expertise from Imperial graduates.
University–industry partnerships: The Department of Mathematics collaborates with key employers in data analytics, finance, technology, and consultancy. Students gain exposure to real-world data challenges through workshops, industry-led projects, and summer internships with leading global firms.
Long-term accreditation value: While the programme is not formally accredited, Imperial’s academic excellence and international reputation give graduates a strong professional edge. The combination of mathematical rigour and applied statistical training provides lifelong career versatility and professional credibility.
Graduation outcomes: Graduates emerge with exceptional data-handling, problem-solving, and computational skills. They are highly sought after in industries such as quantitative finance, machine learning, health analytics, and consulting, or continue into advanced study and research in data-driven disciplines.

Further Academic Progression:
After completing the BSc, students can continue to a Master’s or PhD in Statistics, Data Science, Artificial Intelligence, Financial Mathematics, or Applied Mathematics. The degree also provides a strong foundation for professional certification in areas such as data analytics, actuarial science, or statistical modelling, supporting long-term career progression in both industry and research.