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Overview
Why study MSc/PGDip Computational Neuroscience at Middlesex University?
This Computational Neuroscience MSc/PGDip course at the Middlesex University will give you a theoretical and practical understanding of computational neuroscience. You'll gain an advanced knowledge of neurones and their organisation into functional circuits that process information and control behaviour.
You'll develop your skills in recording, securely storing, analysing and visualising neural data to aid diagnosis and to determine the best treatment options or to answer a research question. Additionally, you'll gain hands-on experience in the use of programming methods used in computational neuroscience.
This master's course is ideal to those who want to analyse big data which informs clinical decisions or to investigate medical research questions.
Course Highlights
- Gain a theoretical and practical understanding of the nervous system in health and disease
- Have access to specialised clinical and research equipment used to assess the function of the brain and peripheral nerves
- Learn from a dedicated team of academics with expertise in computer science, neuroscience and psychology, and clinical practitioners, who will use a wide range of active learning styles, including enquiry-based, laboratory-based and problem-based activities
- Apply machine learning and visual analytics to neural data.
Career Opportunities
Once you graduate, you'll be prepared for a career as a computational neuroscientist in the healthcare sector, medical research or academia.
Programme Structure
Courses include:
- Neurobiology
- Neuropsychology
- Experimental Design and Statistics
- Neuroinformatics
- Acquisition and Analysis of Neural Data
- Computational Neural Modelling
- Neuropathology
- Peripheral Neurophysiology
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 6.5
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Neuroscience Statistics Computer Sciences View 676 other Masters in Computer Sciences in United KingdomAcademic requirements
GPA Lower Second Class
English requirements
IELTS 6.5
Other requirements
General requirements
- It is required that you have a 2:2 (lower second-class) undergraduate honours degree in biology, biomedical science, computer science, engineering, mathematics, neuroscience or psychology
Tuition Fee
To alway see correct tuition fees
-
International
14500 GBP/yearTuition FeeBased on the tuition of 14500 GBP for the full programme during 12 months. -
National
9400 GBP/yearTuition FeeBased on the tuition of 9400 GBP for the full programme during 12 months.
- EU Full-time: £14,500
- UK Part-time: £61 per credit; £31 per dissertation credit
- International/EU Part-time: £93 per credit; £47 per dissertation credit
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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