Renewable Energy with AI and Data Science: Geology and Geophysics

A student using VR to visualise seismic data and ground models in areas of proposed wind farm development
  • 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.

Develop the essential AI and data science skills to solve renewable energy challenges

Get hands-on experience collecting offshore data

Secure industry insights on a work placement with companies engaged in the energy-transition

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, near-surface 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 have the opportunity to apply these concepts to real-world settings on an offshore data-collection field trip and 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. 

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
  • Case studies
  • A group of people interacting
    Group work exercises
  • Offshore fieldwork

Balance of assessment

Key

  • Coursework and practicals
  • Research project

  • 67% Coursework
  • 33% Projects

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

Apply online

You can submit one application form per year of entry. You can choose up to two courses.

Application deadlines – Round 1 closes on Thursday 16 January 2025

Tuition fees

Home fee

2025 entry

£23,400

Overseas fee

2025 entry

£43,800

How will studying at Imperial help my career?

Wind Turbine

Learn key skills for a broad range of career options in the growing renewables industry and wider energy industry.

Computer monitor showing data

Meet the market demand for hands-on, applied data science knowledge.

Robot hand

Deepen your skills in artificial intelligence and machine learning, specifically applied to the renewable energy sector.

Lightning bolt

Pursue research or careers in climate science, sustainability, natural hazards, and renewable energy.

Lightbulb with graduate cap inside

Employers will find your advanced knowledge of environmental science and engineering solutions particularly attractive.

Power plant

Potential employers include small environmental and engineering consultancies to large multinational organisations, including those in the renewable energy and wider energy industry.

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