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
Join us on one of the most established machine learning Master’s courses in the field. This MSc offers specialisation opportunities, including modules run in collaboration with the Gatsby…
Faculty: Faculty of Engineering Sciences | Duration: 1 calendar year | Study mode: full-time | Intake: September 2027 | Location: London, England, United Kingdom
The Machine Learning MSc is a one-year course. In Term 1, you will study supervised learning to gain in-depth… Modules include: Supervised Learning; MSc Machine Learning Project; Graphical Models; Advanced Topics in Machine Learning; Approximate Inference and…
Graduates from this course are well-positioned to work in a wide variety of industries and roles.
A minimum of an upper second-class UK Bachelor’s degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, electrical engineering, or the physical sciences. 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=TMSENG002101&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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