Course overview
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.
This course is part of the Ada Lovelace Academy, an initiative from the Department of Earth Science and Engineering aiming to deliver gender-balanced post-graduate education in computational subjects to solve the science and engineering challenges of the 21st century.
