關於課程
To understand the brain and performance, there is need to merge the traditional, hypothesis-based experiments with unbiased, large-scale machine learning approaches to study the dynamic interactions between brain regions and its relations to behaviour.
This MSc offers advanced learning in two different pathways 1) Cognitive Neuroscience and 2) Computational Neuroscience.
For your studies and research, you will have access to various neuroimaging tools (for example, MRI, MEG, EEG, brain stimulation and fNIRS) housed in the Centre for Human Brain Health. You will develop important skills associated with proactive problem solving and analysing big (neuroscientific) data. You will have the opportunity to interact with a broad range of researchers (from the Centre for Human Brain Health, School of Psychology and Computer Science) who will help you develop specific interests and skills within cognitive neuroimaging and data science.
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開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長: 1 Year(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Autumn (September), 2024 | Birmingham |
Autumn (September), 2025 | Birmingham |
Autumn (September), 2026 | Birmingham |
如何申請
Entry requirements for 伯明翰大學
Applicants should have obtained at least a 2:1 Honours degree in a relevant subject (eg, Psychology, Neuroscience, Computer Science, Physics, Engineering or Mathematics).
Regarding the Cognitive Neuroscience pathway, applicants should have gained at least a 2:1 (or equivalent) in the research dissertation (i.e. experience of planning and conducting research and analysing data). Applicants who do not meet our requirement for a 2:1 in their final-year research project, but who have gained significant research experience in a cognitive neuroscience research lab(s) will be considered on a case-by-case 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
English language requirements
托福(TOEFL iBT)總分: 88.0
最後申請期限:
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