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  2. Masters Courses
  3. Machine Learning
  4. Environmental Science
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We have 3 Full Time Masters Degrees in Machine Learning (Environmental Science)

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Full Time Masters Degrees in Machine Learning (Environmental Science)

We have 3 Full Time Masters Degrees in Machine Learning (Environmental Science)

Departments and universities

Faculty of Engineering

Study at the Imperial Faculty of Engineering, where scientific imagination solves real-world problems. Learn from leading experts alongside some of the brightest STEMB minds. Build the skills powering tomorrow’s breakthroughs. Be part of it.

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Computer, Electrical and Mathematical Science and Engineering (CEMSE)

The Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division sits at the heart of KAUST, a graduate-only research university on the Red Sea. We offer master's and Ph.D. programs across computer science, electrical and computer engineering, applied mathematics and computational sciences, and statistics — taught in English by internationally renowned faculty, with exceptional research facilities and a genuinely interdisciplinary culture. Here, the next generation of scientific leaders tackle complex national and global challenges, and help create a sustainable future for the Kingdom and the world.

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Masters courses

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Statistics MS | Fully Funded | Data Science & Statistics | KAUST

King Abdullah University of Science and Technology (KAUST)  | 
Computer, Electrical and Mathematical Science and Engineering (CEMSE)

King Abdullah University of Science and Technology (KAUST) is a graduate research university on the shores of the Red Sea in Saudi Arabia… View course

 On campus  Full time  Scholarships available

Environmental Data Science and Machine Learning

Imperial College London  | 
Faculty of Engineering

Apply computing techniques and machine learning to real-world environmental problems. View course

 On campus  Full time

Environmental Sustainability and Data Science MSc

University of Westminster  | 
Biological and Biomedical Sciences

In the current climate emergency, the need for innovative, data-driven solutions has never been greater. View course

 On campus  Part time  Full time
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