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.

Our MSc courses

MSc Applied Computational Science & Engineering (ACSE)

The MSc in Applied Computational Science and Engineering (ACSE) at Imperial College London 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.  

This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. Graduates of this course will fill the market demand for those with applied, hands-on computational experience who can solve real world problems. 

Find out more about the MSc in Applied Computational Science and Engineering.

MSc Environmental Data Science and Machine Learning (EDSML)

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

The programme offers a focus on environmental big data in addition to established modules in machine learning, computational science and modern programming skills that run in the Applied Computational Science and Engineering MSc. 

Find out more about MSc in Environmental Data Science and Machine Learning.

MSc in Geo-Energy with Machine Learning and Data Science (GEMS)

The MSc in Geo-energy with Machine Learning and Data Science (GEMS) at Imperial College London 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.

Students will study subsurface geoscience and engineering, with a focus on data science and machine learning, and develop skills that can be applied to carbon dioxide storage, water management, hydrocarbon recovery, geothermal energy and other subsurface processes.

Find out more about MSc in Geo-Energy with Machine Learning and Data Science.

MSc in Renewable Energy with AI and Data Science: Geology and Geophysics (READY)

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. 

To meet the global green energy targets, the number of offshore renewables projects must increase dramatically over the next two to three decades. Offshore wind is one offshore renewable option, with wave and tidal expected to grow in importance as technology matures. This course will provide students with offshore data-collection experience and exposure to industry.  

Find out more about the MSc in Renewable Energy with AI and Data Science: Geology and Geophysics (READY).

 

MSc in Responsible Mining and Metals Finance

A combined Department Earth Science & Engineering and Imperial College Business School degreeThe Institute of Materials, Minerals and Mining - IOM3

The MSc in Responsible Mining and Metals Finance is a one year full time programme that 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.

The course is a joint programme between Department of Earth Science and Engineering and Business School at Imperial College London, and is unique in teaching quantitative financial analysis, strategic management and technical geological concepts in the context of metals and mining projects.

Find out more about the MSc in Responsible Mining and Metals Finance.

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