MSc Statistics (Data Science and Machine Learning) at Imperial College London

Programme overview

Build familiarity with a wide range of data science techniques and their application in a variety of settings. Develop your appreciation of data science techniques and their application in statistics on this Master's course. You'll explore a wide range of statistical methods used in data science and machine learning and delve into current developments in the field.

What you will study

Core modules include Applied Statistics, Computational Statistics and Machine Learning, Fundamentals of Statistical Inference, Probability for Statistics, Data Science, Become familiar with.

Career pathways

Graduates of our Department go on to succeed in a wide range of sectors. These include finance, consultancy, data science, cyber security, government, energy, automotive, retail, healthcare, and pharmaceuticals. Typical roles include Quantitative Analyst, Quantitative Researcher, Commodities Trader, Data Scientist, Data Analyst, Business Intelligence Developer, Engineering Analyst, Credit Risk Analyst.

Official programme page

Application information

Entry requirements

2:1 in statistics, mathematics, engineering, physics or computer science. Please note that we receive many more applications than we can accommodate. Nearly all successful applicants hold a First Class degree in any of the eligible undergraduate degrees, and all successful applicants holding an undergraduate degree outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics. English language: Imperial's higher university requirement.

Domestic applicants: GBP 23,500 for the whole programme (2027/28). tuition fee for 2027 entry Source

International applicants: GBP 44,800 for the whole programme (2027/28). tuition fee for 2027 entry Source

Intake: October 2027

Duration: 1 year

Apply through the official page: https://myimperial.powerappsportals.com/

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