Statistics (Applied Statistics)
The Master of Science in Statistics (Applied Statistics) at Imperial College London is a one-year, full-time program that focuses on the practical application of statistical techniques to real-world problems. Students will study areas such as regression analysis, statistical modeling, data visualization, and experimental design. The program is designed for students who want to apply statistical methods to fields like healthcare, economics, engineering, and social sciences, and it emphasizes the use of statistical software for data analysis.
Graduates will be prepared for careers as statisticians, data analysts, or researchers in a wide range of industries, where they can apply their statistical knowledge to analyze data and inform decision-making. The program’s strong practical focus ensures that students are ready to contribute to data-driven problem-solving in both academic and applied settings.
Key information
Key Facts
Program Title: Master of Science in Statistics (Applied Statistics)
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 – Core Applied Statistics
- Probability Theory and Statistical Inference
- Regression Analysis and Modeling
- Statistical Computing and Programming
- Research Methods in Applied Statistics
Semester 2 – Advanced Applications and Research Project
- Multivariate and Time Series Analysis
- Bayesian Statistics and Computational Methods
- Independent Research Project
- Elective Modules in Data Science, Machine Learning, or Biostatistics
Career Opportunities
Graduates from this program are prepared for careers in data analysis, statistical modeling, and decision-making roles. They can work in financial institutions, healthcare analytics, government agencies, technology firms, and research organizations, applying statistical techniques to solve real-world problems. The program equips students with analytical, computational, and problem-solving skills, enabling them to interpret complex datasets, build predictive models, and support evidence-based decision-making. Graduates can also pursue roles in data consultancy, risk analysis, biostatistics, research, or academic positions, and they are well-prepared for doctoral studies in statistics, applied mathematics, or data science.
Why Choose This Program
This program provides a one-year intensive pathway into applied statistics, combining theoretical foundations with practical data analysis skills. It emphasizes statistical modeling, computational methods, and research techniques, allowing students to develop expertise in analyzing and interpreting complex datasets. The independent research project provides hands-on experience in designing studies, applying advanced statistical methods, and communicating results effectively. Graduates leave the program with the skills and knowledge to make an immediate impact in data-driven decision-making, analytics, and research, or to pursue advanced doctoral studies in statistics, applied mathematics, and related fields.
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
