Course summary
Discover how data science and machine learning is revolutionising the study of subsurface geoscience and engineering on this Master's course. Firstly, you'll cover the fundamental processes and applications of subsurface geoscience and engineering. Then, you'll examine how data science, numerical methods and machine learning can help solve problems in the sector. You'll have the opportunity to apply these concepts to real-world settings on a geological field trip and through an independent project in an area of your choice. You'll also advance your programming skills in Python to solve numerical problems related to subsurface processes, and design numerical models relevant to energy technologies. The course is designed to meet the needs of mathematicians or scientists keen to apply their skills to this field. Alternatively, it's also suitable if you're from a geoscience or engineering background and looking to advance your knowledge of this specialist subject area.
Entry requirements
2:1 in a geological or physical science subject, or an engineering discipline. We also accept a wide variety of international qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ