We offer a range of Master of Science courses. Four of the five courses we offer (ACSE, EDMSL, GEMS and READY) are computational courses part of a new departmental initiative, the Ada Lovelace Academy.

ASCE and EDSML

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MSc Applied Computational Science and Engineering

The MSc in Applied Computational Science and Engineering (ACSE) inspires the future crop of experts in Computational Science and Engineering. Students will gain deep knowledge and skills in cutting-edge computational techniques for real world science and engineering applications to meet industry demand.

A student using a VR headset while smiling

MSc Environmental Data Science and Machine Learning

The MSc in Environmental Data Science and Machine Learning (EDSML) trains students in fundamental computational and data science skills for application across the environmental sciences, and is led by expert computational scientists in the Department of Earth Science and Engineering.

GEMS, RMMF, READY

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MSc Geo-energy with Machine Learning and Data Science

The MSc in Geo-energy with Machine Learning and Data Science (GEMS) is aimed at geoscientists and engineers who want to acquire advanced computational, data science, machine learning and numerical skills relevant to working on various aspects of the energy transition.

A person looking at a computer screen showing a simulation of wind turbine array

MSc Renewable Energy with AI and Data Science

The MSc in Renewable Energy with AI and Data Science: Geology and Geophysics (READY) equips students with the geology, near-surface geophysics and computational skills needed to characterise the shallow subsurface for a broad range of renewable energy applications.

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MSc Responsible Mining and Metals Finance

The MSc in Responsible Mining and Metals Finance educates future resource specialists in the multidisciplinary areas of mining geology, mining project evaluation, mining project management and quantitative finance, as well as the environmental and social aspects key to the mining sector.

Studying a Master's at Imperial

Thinking about studying a Master’s in the Department of Earth Science and Engineering at Imperial? Hear from Dr Rossella Arcucci, Associate Professor in Data Science and Machine Learning, as she shares more about our approach to learning Play video
Thinking about studying a Master’s in the Department of Earth Science and Engineering at Imperial? Hear from Dr Rossella Arcucci, Associate Professor in Data Science and Machine Learning, as she shares more about our approach to learning

We strive to increase and broaden inclusivity and support everyone, regardless of background, in breaking down any barriers to you applying to the Department. If you are unable to pay a course’s application fee, we encourage you to apply for a fee waiver. If you are interested in an MSc and wish to apply for a fee waiver, please contact the relevant course administrator prior to starting your application.

Applied Computational Science & Engineering Students looking at a laptop