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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.
You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.
You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.
You'll 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.
Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.
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.
Programme overview
Main Subject
Engineering - Mineral and Mining
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.
You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.
You'll 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.
Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.
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.
Admission Requirements
62+
6.5+
92+
176+
2:1 in any geological or physical science or engineering subject.
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 are also required.
Special cases, based on relevant industrial/professional experience, may be considered in some circumstances.
04 Jul 2025
1 Year
Sep
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 Renewable Energy with AI and Data Science: Geology and Geophysics
South Kensington Campus, London, United Kingdom
# 8QS Subject Rankings
12 monthsProgramme duration
43,800 GBPTuition Fee/year
04 Jul, 2025Application Deadline
Programme overview
Main Subject
Engineering - Mineral and Mining
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.
You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.
You'll 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.
Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.
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.
Programme overview
Main Subject
Engineering - Mineral and Mining
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You will examine how data science, numerical methods and machine learning can help solve problems in the renewable energy sector.
You will develop an understanding of the geological, geotechnical and geophysical knowledge and data essential to develop ground models for renewables projects.
You'll 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.
Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.
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.
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 are also required.
Special cases, based on relevant industrial/professional experience, may be considered in some circumstances.
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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