Statistics (Theory and Methods)
The Master of Science in Statistics (Theory and Methods) at Imperial College London offers a comprehensive one-year, full-time program designed to provide students with an in-depth understanding of statistical theory and its applications across various fields. Students will delve into advanced topics such as probability theory, statistical inference, experimental design, and regression analysis. The curriculum emphasizes both the theoretical foundations of statistics and the practical implementation of statistical methods, providing students with the analytical tools needed to solve complex problems.
The program offers students hands-on experience with real-world data sets, enabling them to apply their statistical knowledge to diverse industries, including healthcare, finance, and scientific research. Graduates will be equipped to pursue careers as statisticians, data analysts, and researchers in academia or industry, with the ability to design experiments, analyze large data sets, and contribute to decision-making processes based on statistical insights. With a strong focus on rigorous statistical methodology, students will gain the expertise needed to tackle challenging data-driven problems in an increasingly quantitative world.
Key information
Key Facts
Program Title: Master of Science (MSc) in Statistics (Theory and Methods)
Degree Type: Master of Science (MSc)
Duration: 1 Year
Mode of Study: Full-time, On Campus
Application Deadline: 30th June 2026
Location: Imperial College London, United Kingdom
Field of Study: Mathematics
Language of Instruction: English
Program Structure
Semester 1 – Foundations of Statistics and Statistical Methods
- Introduction to Probability Theory
- Statistical Inference and Estimation
- Linear Models and Regression Analysis
- Computational Methods for Statistics
Semester 2 – Advanced Statistical Theory & Research Project
- Bayesian Statistics and Markov Chains
- Multivariate Analysis and Statistical Learning
- Time Series Analysis and Forecasting
- Research Project in Statistics (Theory and Methods)
Career Opportunities
Graduates of the MSc in Statistics (Theory and Methods) are well-prepared for careers in data science, statistical research, and quantitative analysis. Career opportunities include roles as statisticians, data analysts, biostatisticians, and quantitative researchers in industries such as finance, healthcare, government, and technology. The program provides students with the deep theoretical and practical knowledge necessary to analyze complex data, develop statistical models, and solve problems across a wide range of fields.
Why Choose This Program
The MSc in Statistics (Theory and Methods) at Imperial College London offers a comprehensive and rigorous foundation in statistical theory and methodology. The program emphasizes both the mathematical underpinnings and practical applications of statistics, preparing students to solve real-world problems in areas such as finance, healthcare, and scientific research. With access to leading experts and cutting-edge research, students are equipped to pursue advanced careers in statistics, research, and data science.
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
