Middlesex University - Graduate Programs

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Computational Neuroscience

Middlesex University - Graduate Programs

Faculty:Natural Sciences
Degree:Post-diploma
Field of Study:Neuroscience
Computational Science
Course Based:Yes
Length:1 Year(s)

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.

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.







Prerequisites:

Test Scores:
  • International English Language Testing System (academic or immigration) [min. 6.5]
Application Notes : You must have competence in English language to study with us. The most commonly accepted evidence of English language ability is IELTS 6.5 (with minimum 6.0 in all components). We also normally require Grade C GCSE or an equivalent qualification.
Additional Admission Requirements:
    We usually require a 2:2 (lower second-class) undergraduate honours degree in biology, biomedical science, computer science, engineering, mathematics, neuroscience or psychology.

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

    Modified on October 30, 2022