Renewable Energy with AI and Data Science: Geology and Geophysics

Course Overview

Offered by Imperial College London, the MSc Renewable Energy with AI and Data Science: Geology and Geophysics provides a comprehensive postgraduate education in computing and information technology. Based in Kensington and Chelsea, England, this Russell Group university offers a research-led approach to learning, with a 1-year full-time structure. 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. Home/uk fees are £12,858 per year, and a minimum IELTS score of 6.5 is required for admission. Graduates from this programme benefit from strong career prospects, with 90% student satisfaction rating, a median graduate salary of £35,500 within three years, and a 95% continuation rate.

What You'll Learn

Tuition Fees & Funding

Fees and funding Home fee 2026 entry £24,600 Overseas fee 2026 entry £46,000

Graduate Outcomes

Frequently Asked Questions