• Postgraduate taught
  • MSc

Renewable Energy with AI and Data Science: Geology and Geophysics

Apply computational techniques to geological and geophysical data to characterise sites for renewable energy.

Course key facts

Minimum entry standard

  • 2:1 in any Geological or Physical Science or Engineering subject.

View full entry requirements

Course overview

Gain the expert skills needed in geology, geophysics and computation, to characterise the shallow subsurface for a broad range of renewable energy applications.

You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.

You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.

You’ll gain exposure to geophysical surveying equipment in a fieldtrip, and get hands-on experience with real-world data. You’ll also have the opportunity to work on real-world problems through an independent project in an area of your choice.

Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.

This course is suitable for those from a geoscience, physical science or engineering background looking to advance their computer science skills applied to renewable energy problems. This also includes those in industry looking to transition to the renewables sector. 

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. 

Structure

This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

You’ll take all of these core modules.

Core modules

You'll conduct an independent analysis of a technical problem relevant to the renewables sector.

The process will see you devise, implement, test, modify, validate and document a computational or data science-based solution.

You can opt for a problem provided to you, or solve a problem of your own devising. Computational projects as part of external industry placements will also be considered.

You'll present your work in a written report and an oral presentation.

Teaching and assessment

Teaching and learning methods

  • Person at lectern giving speech
    Lectures
  • Seminars and formal presentations
  • Code on a computer screen
    Practical coding activities
  • Person completing coursework
    Individual Research
  • A group of people interacting
    Group work exercises

Balance of assessment

This is an example of how assessments are usually divided, based on a typical pathway through the course. The actual breakdown may be different depending on the modules you choose.

Key

  • Coursework and practicals
  • Research project

  • 67% Title 1 goes here
  • 33% Title 2 goes here

Assessment methods

  • Person completing coursework
    Individual and group coursework
  • Papers from a written report
    Research project report
  • Oral presentations

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Applications open on Wednesday 30 September 2026

Fees and funding

Home fee

2027 entry

Not set
As a guide, the fee for 2026-27 was £24,600.

Overseas fee

2027 entry

Not set
As a guide, the fee for 2026-27 was £46,000.

How will studying at Imperial help my career?

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.

Who do our graduates work for?

Our graduates have worked for companies including BP, Mott MacDonald, Civil Service, McKinsey & Co, Bulb, Rolls Royce, IBM, Perenco, Total Energies, Goldman Sachs, Geotech Solutions Limited, Petronas, Acturis,  Hydro Wind Energy, Citigroup.

What jobs do our graduates do?

Project Engineer, Trainee Well Site Engineer, Reservoir Geologist, Quantitative Analyst, Petroleum Geoscientist, Analyst, Data Engineer, Business Intelligence Associate, Sustainability Executive, Quality Inspector, Computational Scientist.

What about further study?

PhD at leading institutions worldwide.

What careers support does Imperial offer?

Our Careers Service can support you as you consider your next steps. You can access one-to-one guidance, workshops, employer events and online resources to help you explore your options and plan your career. 

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications