Study MSc Geo-Energy with Machine Learning and Data Science at Imperial College London in the UK, Earth Science and Engineering
ip target image
You are currently browsing our site with content tailored to students in your country

MSc Geo-Energy with Machine Learning and Data Science

UK

14

What will I learn?

Course overview:Discover how data science and machine learning is revolutionising the study of subsurface geoscience and engineering on this Master's course. Firstly, you'll cover the fundamental processes and applications of subsurface geoscience and engineering. Then, you'll examine how data science, numerical methods and machine learning can help solve problems in the sector. You'll have the opportunity to apply these concepts to real-world settings on a geological field trip and through an independent project in an area of your choice. You'll also advance your programming skills in Python to solve numerical problems related to subsurface processes, and design numerical models relevant to energy technologies. The course is designed to meet the needs of mathematicians or scientists keen to apply their skills to this field. Alternatively, it's also suitable if you're from a geoscience or engineering background and looking to advance your knowledge of this specialist subject area. This course is part of the Ada Lovelace Academy, an initiative from the Department of Earth Science and Engineering aiming to deliver gender-balanced post-graduate education in computational subjects to solve the science and engineering challenges of the 21st century.

Which department am I in?

Earth Science and Engineering

Study options

Full Time (1 Year)

Tuition fees
£46,000.00 (US$ 59,406) per year
This is a provisional fee yet to be approved
Application deadline

Expected August 2027

Start date

September 2027

Venue

Imperial College London - South Kensington Campus

Exhibition Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

Entry requirements

For international students

2:1 in a Geological or Physical Sciences subject, or an Engineering discipline.

Evidence of a good quantitative background (a minimum of a grade A in A-Level Mathematics or evidence of mathematics programmes in your undergraduate degree) and coding experience will also be required.

Applicants with other qualifications, and relevant professional or industrial experience, may be considered.

*There may be different IELTS requirements depending on your chosen course.

Add to my favourites

Product of

Have you discovered our IDP community?

Get to hear first-hand experiences from past students, join groups and more with our new community feature!

View community now!
cta banner image

Get in touch