Engineering
Advanced Materials Science (Data-driven Innovation) MSc
University College London (UCL), United Kingdom
- Degree
- Master's
- Next intake
- September 2027
Engineering
University College London (UCL), United Kingdom
This specialist MSc course combines the technical aspects of Artificial Intelligence (AI) with pressing environmental, economic, engineering and humanitarian issues.
Faculty: Faculty of Engineering Sciences | Duration: 1 calendar year | Study mode: full-time | Intake: September 2027 | Location: London, England, United Kingdom
The Artificial Intelligence for Sustainable Development MSc is a one-year, full-time course. Modules include: Artificial Intelligence for Sustainable Development; Foundations of Artificial Intelligence; Probabilistic Modelling; Deep Representations…
Graduates will have the core AI skills to enter various fields, particularly in organisations targeting the SDGs or within…
A minimum of an upper second-class UK Bachelor’s degree (or an international qualification of an equivalent standard) in a highly quantitative subject such as computer science, physical sciences, life sciences, mathematics, or engineering. English language requirement: UCL Level 2.
Domestic applicants: GBP 21,500 a year (2027/28) Source
International applicants: GBP 44,400 a year (2027/28) Source
Intake: September 2027
Duration: 1 calendar year
Apply through the official page: https://evision.ucl.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=TMSENG000301&code2=0001
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
Engineering
University College London (UCL), United Kingdom
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