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Environmental Data Science and Machine Learning at Imperial College London - UCAS

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Course summary

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.


Entry requirements

2:1 in engineering or a science-based discipline. We also accept a wide variety of international qualifications.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Environmental Data Science and Machine Learning at Imperial College London - UCAS