Key Information

We strive to increase and broaden inclusivity and support everyone, regardless of background, in breaking down any barriers to your application the Department.

If you are interested in this MSc, we strongly encourage you to contact the course administrator - Samantha Symmonds, Email Samantha - prior to starting your application.

Develop analytical skills in subsurface geoscience and engineering

MSc student Join this 12-month Master’s in Geo-Energy with Machine Learning and Data Science, starting October 2022.

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

The programme will strengthen your understanding of numerical, analytical and computational concepts, and is taught by experts in these areas.

The course 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.

ESE's Prof Martin Blunt“Our Master’s in Geo-Energy with Machine Learning and Data Science will equip you with the cutting-edge skills you need to tackle real-world issues facing the global energy sector,” says course director Professor Martin Blunt. “Now more than ever, geoscientists need to gain and apply expertise in Machine Learning and Data Science to problems in subsurface geoscience and engineering.”


Who is the course for?

The MSc in Geo-Energy with Machine Learning and Data Science is suitable for science and engineering graduates, including students with:

  • a mathematics or physical sciences background who want to specialise in subsurface geoscience and engineering, or
  • a geoscience and engineering background who want to learn about data science and machine learning as tools for problem solving and analysis, or
  • a computer science background who wish to expand their knowledge of ML and observational techniques in the context of subsurface energy and storage.

You should be familiar with computer programming, and the MSc will introduce coding and develop your numerical skills.

Why should I apply?

The Geo-Energy with Machine Learning and Data Science MSc is unique in combining data science and programming with the fundamentals of geo-energy. It draws on expertise in geo-energy, petroleum geoscience, and petroleum engineering (research and teaching), and you will be taught by Faculty experts in subsurface geoscience and engineering, data science, computational methods and machine learning.

Accordion widget GEMS

Study Programme

The Geo-Energy with Machine Learning and Data Science MSc programme is one of three computational programmes in ESE. The study programme consists of eight taught modules, three mini projects, and one individual research project. It shares teaching modules with our two other computational MSc courses, as shown in the table below.

You will study the following taught courses:

  • Numerical programming in Python
  • Computational Math
  • Data Science and Machine Learning
  • Resource Geology and Geophysics
  • Fluids and Flow in Porous Media
  • Geomechanics and Pressure Analysis
  • Applied Energy Geosciences and Engineering
  • Deep-Learning

You can see the teaching schedule represented visually below. If you would like an accessible version of this information, please contact ESE webmaster.

Courses shared by ACSE, EDSML, and GEMS (ESE MScs)
Courses shared by ACSE, EDSML, and GEMS (ESE MScs). Yellow and purple courses/project modules are shared across MScs

Careers

Graduates of this course will go on to work in academia, or go on to work in:

    • large data and computer companies,
    • consultancies offering services to the energy industry and working on natural geo-hazards,
    • the energy industry, including oil, gas and renewables.

How to apply

We strive to increase and broaden inclusivity and support everyone, regardless of background, in breaking down any barriers to your application the Department. 

If you are interested in Geo-Energy with Machine Learning and Data Science MSc, we strongly encourage you to contact Samantha Symmonds prior to starting your application.

Find out more about postgraduate study at Imperial College London, including tuition fees, admissions and how to apply. Please note that applications won’t open until 4 October 2021.

 

Contact

Course director: Professor Martin Blunt, Email Professor Blunt

Postgraduate Education Manager: Samantha Symmonds
+44 (0) 207 594 7339
Department of Earth Science and Engineering
Imperial College London