The Environmental Data Science with Machine Learning MSc programme is designed for students eager to apply data science in tackling environmental challenges. As the global focus shifts increasingly toward sustainability and the environment, the clear need for skilled individuals capable of effectively analysing and interpreting complex environmental data becomes ever more crucial. This MSc blends technical training in data science, whilst retaining a focus on the nuances that multiple environmental contexts bring.
It covers important aspects of environmental modelling, data curation, machine learning, data visualisation, and forming insights; underpinned by a strong foundation in programming-based analysis. Students will be immersed in a practical learning environment, engaging with diverse real-world environmental datasets, and gaining hands-on experience that is directly applicable to contemporary environmental issues.
Students will build the skills needed to analyse, understand, interpret, and visualise complex environmental data; generating insights that address real-world environmental challenges. A mix of individual and collaborative working will encourage the formation of vital communication skills. The in-depth Data Science Project will empower students to independently integrate sophisticated data science techniques with environmental data, developing graduates who can drive data-informed environmental decision-making.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
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[Learning Outcomes, Transferable (Key) Skills, Assessment]
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Last updated: 11/06/2026 10:43:34
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