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Advance your understanding of data science, machine learning and associated computational technologies on this 1-year Master's course.
Designed to prepare you for a career in environmental science or engineering, you'll learn how to apply your knowledge to a broad range of environmentally motivated applications.
The programme explores in detail how data science techniques can be used to develop solutions to a range of problems.
You'll become familiar with key aspects of data science. These will include cloud computing, remote sensing, environmental monitoring, modelling and computer code.
A research project is also a key component of this degree, where you'll contribute to an active research area and develop your critical analysis.
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
Advance your understanding of data science, machine learning and associated computational technologies on this 1-year Master's course.
Designed to prepare you for a career in environmental science or engineering, you'll learn how to apply your knowledge to a broad range of environmentally motivated applications.
The programme explores in detail how data science techniques can be used to develop solutions to a range of problems.
You'll become familiar with key aspects of data science. These will include cloud computing, remote sensing, environmental monitoring, modelling and computer code.
A research project is also a key component of this degree, where you'll contribute to an active research area and develop your critical analysis.
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 engineering or a science-based discipline.
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 Environmental Data Science and Machine Learning
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
Advance your understanding of data science, machine learning and associated computational technologies on this 1-year Master's course.
Designed to prepare you for a career in environmental science or engineering, you'll learn how to apply your knowledge to a broad range of environmentally motivated applications.
The programme explores in detail how data science techniques can be used to develop solutions to a range of problems.
You'll become familiar with key aspects of data science. These will include cloud computing, remote sensing, environmental monitoring, modelling and computer code.
A research project is also a key component of this degree, where you'll contribute to an active research area and develop your critical analysis.
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
Advance your understanding of data science, machine learning and associated computational technologies on this 1-year Master's course.
Designed to prepare you for a career in environmental science or engineering, you'll learn how to apply your knowledge to a broad range of environmentally motivated applications.
The programme explores in detail how data science techniques can be used to develop solutions to a range of problems.
You'll become familiar with key aspects of data science. These will include cloud computing, remote sensing, environmental monitoring, modelling and computer code.
A research project is also a key component of this degree, where you'll contribute to an active research area and develop your critical analysis.
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
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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