Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?
MSc - Master of Science
South Kensington Campus
Full Time
SEP-25
1 year
Select a course option
MSc - Master of Science
South Kensington Campus
Full Time
SEP-25
1 year
Select a an exam type
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.
Our minimum requirement is a 2:1 in a geological or physical science subject, or an engineering discipline.
Students living in
Domestic
£23,400 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£43,800 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£43,800 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
Check out our
London city guideUniversity of Nottingham