Mathematics with Statistics
The Bachelor of Science in Mathematics with Statistics at Imperial College London is a three-year, full-time program that combines advanced mathematical theory with statistical analysis techniques. Students will study core areas of mathematics, including algebra, calculus, and probability, while also gaining expertise in statistical modeling, hypothesis testing, and data analysis. The program provides a solid foundation in both pure mathematics and applied statistics, preparing students for a wide range of careers in data-driven fields.
Graduates will be equipped for careers in statistics, data analysis, actuarial science, and finance, where they can apply their skills to solve complex problems involving large datasets and statistical inference. The program’s emphasis on both mathematical theory and practical statistics ensures that students are prepared for roles in research, finance, healthcare, and technology, where data analysis and statistical modeling are essential.
Key information
Key Facts
Program Title: Bachelor of Science in Mathematics with Statistics
Degree Type: Bachelor of Science (BSc)
Duration: 3 years
Mode of Study: Full-time, On Campus
Application Deadline: January 14, 2026
Location: Imperial College London, United Kingdom
Field of Study: Mathematics
Language of Instruction: English
Program Structure
Year 1 – Foundations in Mathematics and Statistics
- Introduction to Mathematical Proofs
- Calculus and Linear Algebra
- Probability and Statistics
- Discrete Mathematics and Logic
- Mathematical Methods for Engineers
Year 2 – Advanced Mathematics and Statistical Methods
- Real Analysis
- Statistical Inference and Estimation
- Regression Analysis and Time Series
- Probability Theory
- Numerical Methods and Computational Mathematics
Year 3 – Specialization in Mathematics and Statistics
- Advanced Probability and Stochastic Processes
- Bayesian Statistics and Data Analysis
- Multivariate Analysis and Statistical Modeling
- Final Year Research Project / Thesis
- Elective Modules in Statistical Computing, Machine Learning, or Mathematical Finance
Career Opportunities
Graduates of the Mathematics with Statistics program are well-equipped for careers in data analysis, statistical modeling, finance, and research. Career paths include roles such as Statistician, Data Scientist, Quantitative Analyst, Risk Analyst, Operations Research Analyst, or Statistical Consultant. The program provides a strong foundation for careers in sectors such as finance, healthcare, technology, marketing, and public policy. Graduates can also pursue further studies in statistical analysis, data science, or applied mathematics.
Why Choose This Program
This program combines mathematics with a focus on statistical techniques, preparing students to analyze and model complex data in a wide range of industries. The curriculum emphasizes both theoretical mathematics and practical statistical methods, ensuring graduates can apply their knowledge to real-world problems. With a focus on statistical inference, data analysis, and computational techniques, students are well-prepared for roles in data-driven industries. The final year research project allows students to specialize in areas such as statistical modeling or machine learning, making them highly competitive for careers in data science and quantitative analysis.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
