Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months full time
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 Computing.
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.
A bachelor degree with a 2:1 (hons) in a relevant subject. Those with a background in geography, environmental science, natural sciences, engineering, or computer science, or who can demonstrate good quantitative and/or computing skills, are particularly encouraged to apply.
Applicants who do not meet the above requirement but can demonstrate several years of professional experience in a relevant field will also be considered. In this case, please contact the Admissions Team to discuss your suitability for the programme.
Applicants should possess a keen interest in harnessing data science to understand the natural environment and address environmental issues.
We accept a range of international equivalent qualifications. See our website for details.
Fees are listed on our website
The specific environmental context of the course allows you to enter specialised careers that require a contextual understanding of data and context from the environmental domain, including environmental consultancies, transport, engineering, utilities (e.g. water, energy, renewables) and government agencies.
More widely, the course will equip you with data science and analytical skills that are vital to many industries across the globe. Growth in the data science field is only increasing, with the number of opportunities growing year on year, from positions in local authorities and governments, industry (e.g. finance, telecoms), NGOs; wherever there is a need for data scientist or data analyst.
Plus, University of Leeds students are among the top 10 most targeted by top employers according to The Graduate Market 2023, High Fliers Research, meaning our graduates are highly sought after by some of the most reputable companies in the field.
The list shown below represents typical modules/components studied and may change from time to time.
Compulsory modules
Programming for Data Science – 15 credits
Data Science for Practical Applications – 15 credits
Creative Coding for Real World Problems – 15 credits
Data to Insights in Multiple Environments – 30 credits
Machine Learning for Environmental Data – 15 credits
Environmental Data Science Project – 60 credits
Optional modules
Environmental Assessment – 15 credits
GIS and Environment – 15 credits
Environmental Data Visualisation and Analysis – 15 credits
Digital Image Processing for Environmental Remote Sensing – 15 credits
Web-based GIS – 15 credits
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