国际学生入学条件
A 2.1 equivalent degree (GPA 3.0) in any Engineering Discipline, Computing Science or Physical Sciences/Maths degree that contains the core modules: maths or control, electronics.
Applicants with a high 2.2 equivalent degree classification but 2:1 standard marks in core modules may be considered for entry.
IELTS - 6.5 with no subtests under 6.0
TOEFL (ibt, my best or athome) - 79, with Reading 13, Listening 12, Speaking 18, Writing 21
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 59 with minimum 59 in all subtests
课程简介
The Masters in Robotics & Artificial Intelligence introduces you to the main technologies underlying the development of robotic and intelligent systems, including machine learning and artificial intelligence (AI), that sense and interact with their physical environment. This programme is designed to provide you with a strong foundation through the core topics, while offering the flexibility to tailor your selection of optional courses so that you focus on particular specialist subject areas. A key strength of this programme is the team and individual project work, which gives you the necessary experience of implementing algorithms and design concepts in the context of practical robotics. <br>The Schools of Computing Science and Engineering have extensive contacts with industrial partners who contribute to several of their taught courses through active teaching, curriculum development and panel discussion. Recent contributors include representatives from IBM, J.P. Morgan, Amazon, Adobe, Red Hat Babcock, Howdens and Terex. The School of Computing Science is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.<br>The landscape for a career in Robotics and AI is wide and varied. Along with the development of Automation and AI-related technologies, it is clear that multiple industries believe that AI and robotics will give their companies the competitive advantage. This could be using AI for customer service, using automation for freight industries, or both for the Pharmaceutical and Financial Service & Investors industries. Typical roles include, software engineer, software developer, machine learning engineer, automation engineer, data scientist, data mining analyst, Big Data engineering, business intelligence developer, robotics scientist, AI research scientist, and video game programmer.
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