Cognitive Neuroimaging and Data Science MSc
Entry requirements
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.
With respect to the Computational Neuroscience pathway, you must have a strong interest in learning in an interdisciplinary environment and must have substantial quantitative skills. Programming skills in Python, Matlab, Java, and/or C are desirable.
Months of entry
September
Course content
The Cognitive Neuroimaging and Data Science MSc helps to provide fundamental insight into important theories in cognitive and computational neuroscience, and hands on experience in methods of neuroimaging and data science techniques.
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.
Take either a more cognitive or computational focus on neuroscience and combining optional modules from psychology, mental health, and developmental science.
Fees and funding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course Enquiries
- pgt-psychology-admissions@contacts.bham.ac.uk
- Phone
- +44 (0)121 414 4906