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- University of Leeds
- Environmental Data Science and Analytics MSc
Course options
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Qualification
MSc - Master of Science
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Location
Leeds, Main
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Study mode
Full time
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Start date
29-SEP-25
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Duration
12 Months
Course summary
As global discussions are increasingly focused on the environment and sustainability, the need to understand and interpret both built and natural environmental data is more crucial than ever. Governments, organisations, and industries across the world are seeking individuals who can leverage data to make informed, sustainable decisions.
Our Environmental Data Science and Analytics MSc is designed to give you a fuller understanding of data and what appropriate interpretation and insight generation means in various environmental contexts. Throughout, you'll develop a broad understanding of environmental issues and how data driven analysis can help address these.
You’ll build the skills needed to analyse, understand, interpret and visualise complex environmental data generating insights that address real-world environmental challenges. You’ll apply techniques from data science including environmental modelling, machine learning, visualisation and data curation to environmental data, with a focus on analysis through programming.
Here at Leeds, you’ll have the opportunity to learn from leading researchers in the field, with input from the School of Geography, the School of Earth and Environment, and the School of Computer Science.
By the end of the course, you’ll be equipped with the specialist knowledge and skills that are sought after across multiple industries, especially those dealing with large scale environmental data to address the needs of society.
Application deadline
12/09/2025
Modules
Tuition fees
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£ 32,750per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
21st
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Campus address
University of Leeds, Woodhouse Lane, Leeds, Leeds, LS2 9JT, England
Subject rankings
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Subject ranking
22nd out of 117 2
2nd out of 90 1
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Entry standards
/ Max 223177 79%17th
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Graduate prospects
/ Max 10092.0 92%18th
15 -
Student satisfaction
/ Max 42.66 67%115th
1 -
Entry standards
/ Max 211169 80%5th
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Graduate prospects
/ Max 10090.0 90%8th
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Student satisfaction
/ Max 43.03 76%58th
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