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Computational Neuroscience at Middlesex University - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Overview 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.

Modules

Modules - Compulsory Neurobiology (15 credits) Experimental Design and Statistics (30 credits) Fundamentals of Neuropsychology (15 credits) Computational Neural Modelling (15 credits) Research Project (60 credits) Neuroinformatics (30 credits) Analysis and Parameter Extraction of Neural Data (15 credits) - Compulsory Modules - Optional Peripheral Neurophysiology (15 credits) Neuropathology (15 credits)


Entry requirements

We usually require a 2:2 (lower second-class) undergraduate honours degree in biology, biomedical science, computer science, engineering, mathematics, neuroscience or psychology. Entry requirements listed are accurate at the time of publishing and vary between programmes. Please check your chosen course page for specific entry requirements. Depending on your chosen course, we also consider a combination of qualifications. The latest entry requirements can be found on the course page at: https://www.mdx.ac.uk/courses/postgraduate/computational-neuroscience We have a personalised admissions approach in which we make fair, but aspirational offers to our applicants. We feel it’s important that you continue to aim high and achieve great results. If you don’t quite make the grades you hoped to, we’ll look at more than your qualifications when making our final decision. We’ll take into consideration any barriers you may have faced in your learning, especially with potential disruption due to the coronavirus, your achievements in other areas and your personal statement. At Middlesex, we’ll always aim to be as flexible as possible. We pride ourselves on how we recognise potential in our applicants, and support them to succeed in the future.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5With at least 6.0 in each component
TOEFL (iBT)87With at least 21 in Listening & writing
PTE Academic58With at least 51 in all components

Visit our general entry requirements page, by clicking on the link below, to see how these points can be achieved from our acceptable level 3 qualifications and the combinations which are welcomed by Middlesex University, including GCSE requirements.

Entry Qualifications

http://www.mdx.ac.uk/courses/help-with-your-application/undergraduate-application/entry-requirements


Fees and funding

Tuition fees

England £9600 Year 1
Northern Ireland £9600 Year 1
Scotland £9600 Year 1
Wales £9600 Year 1
Channel Islands £9600 Year 1
EU £15100 Year 1
International £15100 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

At Middlesex, we have a range of funding and loan options available to ensure you are able to attend university, whatever your financial background. Tuition fees vary for UK, EU and International students. More information about fees for the course you are interested in studying can be found at: https://www.mdx.ac.uk/courses/postgraduate/computational-neuroscience
Computational Neuroscience at Middlesex University - UCAS