Data Science and Artificial Intelligence for Sustainability MSc/PgCert/PgDip
Course descriptionThe 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. 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.
Who is it for?
This course is suitable for engineering, computer science, mathematics, environmental, energy and information technology graduates wishing to pursue a technical management career in the rapidly growing area of digital transformation for sustainability. It develops professional engineers, scientists and practitioners with the multidisciplinary skills and ability to analyse current and future sustainability challenges across private and public sectors.
Your career
The international nature of this growing field allows Cranfield graduates to develop diverse and rewarding global careers in industry, government or research.
Example careers:
Energy Analyst – data science,
Offshore Energy Analyst,
Energy and Sustainability Analyst.