Renewable Energy with AI and Data Science: Geology and Geophysics (Taught)

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.