MSc Environmental Data Science with Machine Learning at University of Leeds

Programme overview

The MSc Environmental Data Science with Machine Learning trains graduates to apply data science and machine learning to environmental and spatial challenges such as climate change, sustainability and clean energy, including deploying models in real-world settings.

Department: School of Geography | Duration: 12 months full-time | Intake: September 2027 | Study mode: full-time | Location: Leeds, England, United Kingdom

What you will study

The course starts with programming and data handling, covers the collection and nuances of environmental datasets, and builds towards advanced machine learning applied to diverse real-world environmental data types.

Career pathways

Roles in climate tech start-ups, environmental consultancies, government agencies and the renewable energy sector, and data science roles in finance, logistics and telecommunications; example title: Environmental Data Scientist.

Official programme page

Application information

Entry requirements

A bachelor degree with a 2:1 (hons) in any subject, with evidence of quantitative or computing skills. Applicants with a 2:2 (hons), relevant work experience or professional qualifications are also encouraged to apply and are considered on individual merit. English language (international applicants): IELTS 6.5 overall with no less than 6.0 in any component. Application deadlines: international applicants Friday 30 July 2027; UK applicants Friday 10 September 2027.

Domestic applicants: GBP 14,700 for the whole programme (2027 entry). UK fee, total for the full-time course Source

International applicants: GBP 33,500 for the whole programme (2027 entry). International fee, total for the full-time course Source

Intake: September 2027

Duration: 12 months full-time

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