MSc Environmental Data Science And Machine Learning

Learn to apply computing knowledge and techniques, and machine learning to real-world environmental contexts and problems.

Our MSc Environmental Data Science and Machine Learning will educate future environmental scientists in data science, machine learning and associated computational technologies.

This course will deepen your knowledge of cutting-edge data science, machine learning and associated computational and observational techniques, and you will learn to apply this to a broad range of environmentally motivated applications.

If you have:

a strong methodological background in mathematics or physical sciences and you’re interested in moving to an applied field with an environmental slant or;

an applied background in environmental science or engineering and you want to learn about data science and machine learning or;

a background in computer science and you want to expand your knowledge of applied data science and machine learning in an environmental context, you’re encouraged to apply.

The Environmental Data Science and Machine Learning MSc programme will teach you to apply data science and machine learning knowledge, and computational modelling and monitoring techniques, to a range of environmental science and engineering applications.

If you’re interested in learning about how computational techniques can be applied to solve a broader range of real-world problems, take a look at our MSc Applied Computational Science and Engineering course.