国际学生入学条件
Applicants should have obtained at least a 2:1 Honours degree in a relevant subject (eg, Psychology, Neuroscience, Computer Science, Physics, Engineering or Mathematics).
You must have a strong interest in learning in an interdisciplinary environment and must have substantial quantitative skills. Programming skills in Matlab, Java, and/or C are desirable but not mandatory . Note however that some research projects (e.g. robotics) require excellent programming skills. Students with very good undergraduate degrees from relevant backgrounds are encouraged to apply. These include psychology, neuroscience, computer science, physics, engineering and mathematics. Given the diversity of the applicants and the interdisciplinary nature of the program, all applications will be looked at on an individual basis
IELTS 6.5 with no less than 6.0 in any band
TOEFL: 88 overall with no less than 21 in Reading, 20 in Listening, 22 in Speaking and 21 in Writing
Cambridge English (exams taken from 2015): Advanced – minimum overall score of 176, with no less than 169 in any component
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English (PTE) including online: PTE Academic 67 with no less than 64 in all four skills
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Our Computational Neuroscience and Cognitive Robotics MSc provides flexible interdisciplinary research and access to state-of-the-art equipment for brain imaging, electrophysiological recording, psychophysics, advanced data analysis, computational modelling and robotic systems. This MSc course aims to integrate two active and rapidly developing fields, computational neuroscience and cognitive robotics, to generate innovative strategies and solutions for scientific problems and technological limitations.<br><br>From modelling human cognition to programming robots to act in their environment, this course crosses the boundary between several disciplines, including biology, neuroscience, psychology, and computer science. <br><br>The CNCR MSc course is highly interdisciplinary encompassing psychology, cognitive science, neuroscience, computational modelling, neuroimaging, robotics, and patient rehabilitation. The Course is designed for those who are interested in applying knowledge of neural systems, brain function, and modeling to research in human cognition, perception, sensory and motor systems as well as the design of bio-inspired and biologically plausible robotic systems. It has a strong research focus with hands-on modules and practical applications. The course is aimed at both students from psychology/neuroscience with a strong quantitative background and at students from computer science and physics that want to apply their knowledge to neuroscience.<br><br>1 year full-time, 2 years part-time
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