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
Gain in-depth expertise in the rapidly growing field of robotics and artificial intelligence (AI) through this cutting-edge course.
Faculty: Faculty of Engineering Sciences | Duration: 1 calendar year | Study mode: full-time | Intake: September 2027 | Location: London, England, United Kingdom
Term 1 consists of four compulsory modules, which cover the fundamental basics of how to model and control a robotic… Modules include: Computer Vision and Sensing; Estimation and Control; Machine Learning for Robotics; Modelling and Motion Planning; Robot Vision and…
This course will prepare you to work in a variety of roles in sectors such as medical device development, industrial…
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 or electronic 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=TMSENG006501&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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