Data Science and Artificial Intelligence for Sustainability MSc

This Master of Science (MSc) program focuses on applying data science and artificial intelligence techniques to address complex global sustainability challenges, particularly within energy systems. It acknowledges the increasing need for digital solutions to manage issues like affordable and secure energy supply, environmental management, and the nexus between food, water, and energy. The course aims to equip students with the multidisciplinary technical, analytical, and management skills necessary to drive digital transformation for sustainability in both private and public sectors. Graduates will be prepared to analyze sustainability issues and develop data-driven solutions for a net-zero future.

Curriculum

The curriculum combines taught modules, a group project, and an individual project. Taught modules cover 80 credits (800 hours), the group project is 40 credits (400 hours), and the individual project is 60 credits (600 hours).

1. Full-time (1 year)
2. Part-time (2-3 years)

Careers

Graduates of this program are well-positioned for global careers in industry, government, or research, capitalizing on the growing international demand for expertise in data science, AI, and sustainability. The Cranfield Careers and Employability Service provides lifelong support, including career coaching, CV development, interview practice, job platforms, and networking opportunities with employers.

• Energy Analyst (Data Science and Analytics)
• Data Scientist – Energy and Sustainability
• Digital Transformation Lead – Energy and Utilities
• Digital Energy Solutions Architect