Data Science and Artificial Intelligence for Sustainability MSc at Cranfield University

The digital landscape of sustainability is fast changing - apply your digital skill to solve global sustainability issues with the Data Science and Artificial Intelligence for Sustainability MSc Sustainability depends on areas such as energy production and environmental management, making it a complex problem. Energy supply is fundamentally important to our homes and workplaces.

Faculty: Clean energy  |  Duration: One year full-time, two-three years part-time  |  Study mode: full-time  |  Intake: Full-time: October. Part-time: October  |  Location: Cranfield, England, United Kingdom

What you will study

Delivery: Taught modules 80 credits/800 hours, Group projects 40 credits/400 hours, Individual project 60 credits/600 hours. Compulsory modules: Artificial Intelligence for Sustainability, Data Analytics for Sustainability, Energy Economics and Policy, GIS and Spatial Data Management, Scientific Python, Sustainability and Environmental Assessment.

Career pathways

The international nature of this growing field allows Cranfield graduates to develop diverse and rewarding global careers in industry, government or research.

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