Computer & AI
Data Science and Artificial Intelligence for Sustainability MSc
Cranfield UniversityA multidisciplinary MSc applying data science and artificial intelligence to sustainability, environmental and net-zero challenges.
Related pathways
Study Level
Master's Degree
Study Mode
On Campus
Duration
1 year full-time
Programme Overview
Cranfield's Data Science and Artificial Intelligence for Sustainability MSc applies data-driven technologies to environmental and sustainability challenges.
Students develop data-science, artificial-intelligence and analytical capabilities while studying their application to sustainable systems and decision-making.
The programme connects digital technologies with environmental monitoring, resource efficiency, net-zero transition and sustainability strategy.
Applied projects develop practical experience solving sustainability problems using modern computational methods.
Entry Requirements
Applicants normally require a UK first- or second-class honours degree or equivalent international qualification.
Relevant backgrounds may include:
Engineering
Computer Science
Data Science
Mathematics
Environmental Science
Physical Science
Other quantitative disciplines
English-Language Requirements
IELTS Academic:
6.5 overall
Minimum 5.5 in each component
Equivalent Cranfield-approved qualifications are accepted.
Career Outcomes
Scholarship Information
Cranfield sustainability, AI and environmental funding opportunities may be available through university and external scholarship schemes.