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Data science
Discover hidden patterns in data and apply your knowledge to real-world problems
Data scientists use tools, algorithms and machine learning principles to uncover data patterns and gain insights
What is data science?
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From blocking cyber-attacks to detecting fraud Data science seamlessly improves technology and quality of life
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As our dependency on data increases, so does our reliance on data science
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1st in the UK Computer Science and Informatics Research Excellence Framework (REF) 2021 – based on the proportion of world-leading research
Why Imperial?
Learn from and alongside leading experts in their field
Gain access to facilities like our data observatory, the largest of its kind in Europe
Courses
Our courses cover a wide range of data science related topics, so you can explore the area that interests you
Computing (Artificial Intelligence and Machine Learning)
Focus your study of computing on artificial intelligence in this integrated Master’s degree.
Start date
- 2025
Economics, Finance and Data Science
A first-of-its-kind degree combining economics, finance, and data science and its applications
Start date
- 2025
Applied Machine Learning
Learn how to design, implement and evaluate machine learning systems.
Start date
- 2025
Artificial Intelligence
Receive intensive training in programming and the fundamentals of artificial intelligence.
Start date
- 2025
Artificial Intelligence and Machine Learning
Develop advanced artificial intelligence and machine learning skills and apply these to real-world problems.
Start date
- 2025
Artificial Intelligence Applications and Innovation
Learn AI fundamentals, explore real-world AI applications, and acquire expertise needed to become a leader in AI technologies and business
Start date
- 2025
Biomedical Research (Data Science)
Interdisciplinary training in 'big data' analysis, building skills towards a career in biomedical research.
Start date
- 2025
Communications and Signal Processing
Develop an in-depth knowledge of modern information engineering problems and their solutions.
Start date
- 2025
Computing (Artificial Intelligence and Machine Learning)
Deepen your knowledge and understanding of artificial intelligence and machine learning to prepare for a career in the computing industry.
Start date
- 2025
Computing (Software Engineering)
Specialise in the application of engineering to the design, development, and maintenance of software.
Start date
- 2025
Digital Chemistry with AI and Automation (MSc)
Discover how advances in automation, artificial intelligence, and big data are revolutionising the study of chemistry.
Start date
- 2025
Which option would you like to add to compare? (Select up to 3)
Environmental Data Science and Machine Learning
Apply computing techniques and machine learning to real-world environmental problems.
Start date
- 2025
Epidemiology (MSc)
Apply statistical and mathematical methods to epidemiological investigations, to inform public health practice.
Start date
- 2025
Geo-Energy with Machine Learning and Data Science
Develop the essential data science and machine learning skills needed to embark on a career as a geoscientist or engineer.
Start date
- 2025
Health Data Analytics and Machine Learning (MSc)
Develop skills in using cutting-edge quantitative methods to fully exploit complex data.
Start date
- 2025
Machine Learning and Data Science (Online)
Develop an in-depth understanding of machine learning models and learn to apply them to real-world problems.
Start date
- 2025
Nanomedicine and Nanodiagnostics MRes
Investigate the unique properties of nanoscale materials for the treatment, detection, visualisation and prevention of diseases.
Start date
- 2025
Renewable Energy with AI and Data Science: Geology and Geophysics
Apply computational techniques to geological and geophysical data to characterise sites for renewable energy.
Start date
- 2025
Statistics
Discover a diverse range of statistical tools, applications and methods.
Start date
- 2025
Statistics (Applied Statistics)
Advance your understanding of theoretical and applied statistics and explore the use of stats in a variety of settings.
Start date
- 2025
Statistics (Biostatistics)
Develop your appreciation of statistical theory and methods and its relevance to biology and medicine.
Start date
- 2025
Statistics (Data Science)
Build familiarity with a wide range of data science techniques and their application in a variety of settings.
Start date
- 2025
Statistics (Statistical Finance)
Develop and apply statistical theory and methods in a wide range of situations relevant to commerce and finance.
Start date
- 2025
Statistics (Theory and Methods)
Advance your understanding of statistical methods and their underlying theory.
Start date
- 2025
Transport with Data Science
Specialise in analysing large volumes of transport data and in developing models for efficient, sustainable, and resilient transport systems.
Start date
- 2025
Machine Learning and Data Science (Online)
Develop an in-depth understanding of machine learning models and learn to apply them to real-world problems.
Start date
- 2025
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