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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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
62+
92+
6.5+
3.3+
176+
2:1 in a Geological or Physical Sciences subject, or an Engineering discipline.
Evidence of a good quantitative background (a minimum of a grade A in A-Level Mathematics or evidence of mathematics programmes in your undergraduate degree) and coding experience will also be required.
Applicants with other qualifications, and relevant professional or industrial experience, may be considered.
04 Jul 2025
1 Year
Sep
Tuition fees
Domestic
23,400 GBP
International
43,800 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Geo-Energy with Machine Learning and Data Science
South Kensington Campus, London, United Kingdom
# 12QS Subject Rankings
12 monthsProgramme duration
43,800 GBPTuition Fee/year
04 Jul, 2025Application Deadline
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
Evidence of a good quantitative background (a minimum of a grade A in A-Level Mathematics or evidence of mathematics programmes in your undergraduate degree) and coding experience will also be required.
Applicants with other qualifications, and relevant professional or industrial experience, may be considered.
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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