Study MSc Environmental Data Science and Machine Learning at Imperial College London in the UK, Earth Science and Engineering
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MSc Environmental Data Science and Machine Learning

UK

47

What will I learn?

Course overview: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.

Which department am I in?

Earth Science and Engineering

Study options

Full Time (1 Year)

Tuition fees
£46,000.00 (US$ 59,406) per year
This is a fixed fee
Start date

April 2027

Venue

Main Site

Imperial College,

Prince Consort Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

Full Time (1 Year)

Tuition fees
£46,000.00 (US$ 59,406) per year
This is a provisional fee yet to be approved
Application deadline

18/06/2027

Start date

September 2027

Venue

Main Site

Imperial College,

Prince Consort Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

Entry requirements

For international students

2:1 in Engineering or a Science-based subject.

*There may be different IELTS requirements depending on your chosen course.

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