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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.
Program overview
Main Subject
Computer Science and Information Systems
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.
Admission Requirements
176+
6.5+
3.3+
92+
62+
2:1 in a geological or physical science 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.
19 Jan 2024
1 Year
Sep
Tuition Fee and Scholarships
Domestic Students
22,250 GBP
-
International Students
41,750 GBP
-
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
MSc Geo-Energy with Machine Learning and Data Science
South Kensington Campus, London, United Kingdom
# 22QS Subject Rankings
12 monthsProgram duration
41,750 GBPTuition Fee/year
19 Jan, 2024Application Deadline
Program overview
Main Subject
Computer Science and Information Systems
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.
Program overview
Main Subject
Computer Science and Information Systems
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.
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 Fee and Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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