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| Annual Tuition Fee: | ≈ € 6,929 - ≈ € 18,630 (non-EEA) | ||
| Location: | Manchester / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
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| Languages: | English | ||
The MSc in Cognitive Brain Imaging is aimed at graduates with scientific training (e.g. in physics, computer science, mathematics, medicine, psychology, neuroscience, pharmacology, engineering etc) who are interested in a career where brain imaging forms a major focus or where the scientific and technological needs of brain imaging are addressed.
This field draws on diverse areas of scientific expertise and ultimately depends on effective communication between these areas. Therefore, the course aims to provide a unique environment in which students from these contrasting backgrounds can work together in a way that reflects the collaborations they will contribute to in the future, and in which they can readily acquire the multidisciplinary skills needed.
The course content is designed specifically to provide the student with the skills (theoretical and practical) required to carry out high-quality cognitive brain imaging work in healthy individuals and in patient populations. Issues relating to the optimisation of fMRI and EEG data acquisition and analysis will be explored with a particular focus on the cross-talk between the physics of the scanning environment, the psychology of the experimental design and the neuroanatomy and neurophysiology of the human brain.
In addition, the course offers an in-depth grounding in cognitive, social, behavioural and clinical neuroscience theory and offers the opportunity to be directly involved in both EEG and fMRI research. Graduating students will be ideally placed to make major contributions to research and technological development within the brain imaging area.
Module details Students will take eight (15 credit) taught modules and will complete a research placement.
Semester 1
* Neuroimaging techniques (including MRI, fMRI, PET, EEG)
* Image analysis
* Cognitive science
* Experimental design and optimization
Semester 2
* Advanced image analysis: issues and methods
* Functional neuroanatomy
* Cognitive and social neuroscience
* Clinical and behavioural neuroscience
Research placements
Research projects will be made available to students in the form of placements, where students will join ongoing research programmes across the University. A wide variety of research options will be made available to students in the hope that the experience reflects the research environment that they might enter once graduated. All students will be required to carry out a major component of image analysis and data interpretation as part of their project. The results of research placements will be presented in poster format at a mini-conference towards the end of the course.
MSc CBI Keynote lecture series
A series of keynote lectures will also be offered. These lectures will be presented by internationally-recognised researchers from across the UK (including Manchester). The lectures will be reserved for students and will include an informal question and answer session where students can explore each particular area in a relaxed manner through informal interaction with the keynote speaker.
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An upper second class honours degree (or overseas equivalent) in a science subject (physics, neuroscience, maths, engineering, psychology, medicine, computer science ). Each case will be judged on an individual basis.
All applicants must also submit a separate personal statement (not over 300 words), detailing their reasons for applying and how this programme fits in with their long term career plans.
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
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