MRes Machine Learning and Big Data in the Physical Sciences at Imperial College London

Deepen your understanding of the methodologies used in research involving large data sets. Further your understanding of the methodologies and toolkits used in research involving large data sets on this Master's course. This course is excellent preparation for a PhD place, or for a role in the expanding data science industry.

Faculty: Faculty of Natural Sciences  |  Department: Department of Physics  |  Duration: 1 year  |  Study mode: full-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include Statistical Methods for Experimental Physics, Applied Machine Learning.

Career pathways

Graduates of our Department go on to succeed in a wide range of sectors. These include technology, research and development, academic research, healthcare and medical physics, space and defence, data science (including machine learning and deep learning), banking and finance, and government and public services. Typical roles include Software Developer, Quantum Software Engineer, Data Scientist, Quantitative Analyst, Research Engineer, Medical Physicist, Optical Engineer, Project Manager.

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