MSc in Data Science and Artificial Intelligence for Sustainability

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 analyze current and future sustainability challenges across private and public sectors.

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies, and industrial advisory panels.

Why this course?

Countries transitioning to net zero face a number of challenges in different sectors of their economies. At the core of this transition, affordable and secure energy supply, sustainable development, and digital transitions aggravate these challenges for organizations to support the government toward net zero.

You will benefit from dedicated state-of-the-art facilities including unique engineering-scale facilities for the development of efficient technologies with low CO2 emissions. In addition to management, communication, teamwork, and research skills, each student will attain at least the following learning outcomes from this degree course:

• Design appropriate methods for data acquisition and processing
• Develop AI algorithms to create data-driven solutions, driving sustainability within organizations.
• Apply Data Science principles through simulation platforms and programming languages to sustainability problems.

This MSc is supported by our team of professorial thought leaders, including Professor Nazmiye Ozkan, who is influential in the field of net-zero transition and digital energy, and an integral part of this MSc.

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,

Cranfield Careers and Employability Service

Cranfield’s Career Service is dedicated to helping you meet your career aspirations. You will have access to career coaching and advice, CV development, interview practice, access to hundreds of available jobs via our Symplicity platform, and opportunities to meet recruiting employers at our careers fairs. Our strong reputation and links with potential employers provide you with outstanding opportunities to secure interesting jobs and develop successful careers. Support continues after graduation and as a Cranfield alumnus, you have free life-long access to a range of career resources to help you continue your education and enhance your career.

Taught modules 40%, group projects 20% (or dissertation for part-time students), and individual projects 40%.