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Data Science and Artificial Intelligence for Sustainability MSc

Cranfield University

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Cranfield Campus

  • Study mode

    Full time

  • Start date

    12-OCT-26

  • Duration

    1 Year

Course summary

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 MScSustainability 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. Future energy supply has to be affordable, stable and secure. Ecosystem management needs to account for the food, water and energy nexus and socio-political context. Digital transformation is an emerging discipline using powerful digital tools and various digital models to solve and manage the increasingly complex problems related to sustainability energy systems. Within this discipline, digital tools and models (such as Artificial Intelligence) are used to analyse data from different energy systems and sources and drive new control and operational strategies and business models, whilst supporting key objectives such as reaching Net Zero emissions.

Tuition fees

Students living in United States
(International fees)

£ 18,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Cranfield University

  • Campus address

    Cranfield Campus, College Road, Cranfield, Bedfordshire, MK43 0AL, United Kingdom

With a student body representing 110+ nationalities, Cranfield is committed to diversity and inclusion, and aims to provide a supportive learning environment.
An emphasis on advanced practical, postgraduate and professional education, with full-time and part-time programmes.
Industry input to courses to ensure they stay relevant and develop in-demand skills. Many staff have industry backgrounds, as well as being leading academics.

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