MSc Computational Neuroscience
- Country United Kingdom
- Course Duration 12 month
- Course Type Full Time
- Courses Campus On Campus
- Language Specification IELTS
- Program Level Post-Graduate
- Education Required Undergraduate
- Admission intake SEP
- Minimum GPA 70
Application Charges
| Application Fee | Tution Fee |
|---|---|
| Free | GBP 14,800 |
Application Date
| Application Start Date | Application Closing Date |
|---|---|
|
2023-02-07
|
2023-08-16
|
Program Description
With the rise of big data analytics in the healthcare sector, there is an increasing demand for scientists with expertise in data mining and interpretation that can be used to inform clinical decisions. This master's course is designed to provide you with these skills, enhancing your career prospects as a computational neuroscientist, working in healthcare sector or in the field of medical research.Why study MSc/PGDip Computational Neuroscience at Middlesex University?
This degree 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.In our partnership with Saracens Rugby Club, you’ll have access to the fantastic resources at StoneX Stadium, including the brand new £23 million redevelopment project of the West Stand which offers state-of-the-art facilities as a top educational and high performance centre for teaching and research excellence. With some of the most advanced equipment in the UK, you will be able to utilise the new specialist spaces, simulation suites, specialist labs, plus much more.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.
Other Requirements
We usually require a 2:2 (lower second-class) undergraduate honours degree in biology, biomedical science, computer science, engineering, mathematics, neuroscience or psychologyExtra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.
