

The Master of Science in Statistics (Data Science) is a one-year, full-time program that provides students with the advanced statistical and computational skills needed to work in data science. With a focus on large-scale data analysis, machine learning, and statistical modeling, this program prepares students to extract meaningful insights from complex datasets. Students will explore topics such as data mining, predictive modeling, and data visualization to tackle challenges across various industries, including finance, healthcare, and technology.
Graduates will be equipped with the tools to analyze and interpret data, make data-driven decisions, and create predictive models for solving real-world problems. The program’s strong emphasis on statistical theory and practical applications ensures that students are well-prepared for careers as data scientists, statisticians, or analysts in an increasingly data-driven world.
Semester 1 – Core Foundations
. Probability Theory and Statistical Inference
. Linear Algebra and Calculus for Data Science
. Introduction to Programming for Statistics (Python/R)
. Data Visualization and Exploratory Data Analysis
Semester 2 – Advanced Methods & Applications
. Machine Learning and Predictive Modeling
. Bayesian Statistics and Computational Methods
. Big Data Analytics and Data Engineering
. Capstone Project in Data Science
Graduates can pursue roles such as data scientist, statistical analyst, or machine learning engineer across industries including finance, healthcare, and technology. The program equips students with strong computational and analytical skills that are highly valued in research institutions, government agencies, and private sector companies focused on data-driven decision making.
This program provides a rigorous foundation in both statistical theory and practical data science techniques within a compact one-year curriculum. Students gain hands-on experience with modern tools and methods, preparing them for high-demand roles in the rapidly evolving field of data science, while benefiting from an on-campus learning environment that fosters collaboration and professional networking.
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