Renewable Energy with AI and Data Science: Geology and Geophysics MSc

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.<br/><br/>You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.<br/><br/>You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.<br/><br/>Youll 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.<br/><br/>Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.<br/><br/>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.