MSc Environmental Data Science and Machine Learning at Imperial College London

Apply computing techniques and machine learning to real-world environmental problems. Advance your understanding of data science, machine learning and associated computational technologies on this 1-year Master's course. Designed to prepare you for a career in environmental science or engineering, you'll learn how to apply your knowledge to a broad range of environmentally motivated applications.

Faculty: Faculty of Engineering  |  Department: Department of Earth Science and Engineering  |  Duration: 1 year  |  Study mode: full-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include Applied Computational/Data Science Project, Applying Computational/Data Science, Big Data Analytics, Computational Mathematics, Data Science and Machine Learning, Deep Learning, Environmental Data.

Career pathways

Graduates from our Department go on to succeed in a wide range of sectors. These include sustainable energy, technology, research and development, data science, finance, consulting, project management, civil service and government. Typical roles include Project Engineer, Trainee Well Site Engineer, Reservoir Geologist, Quantitative Analyst, Petroleum Geoscientist, Analyst, Data Engineer, Business Intelligence Associate.

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