Computational Neuroscience MSc/PGDip

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.

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.

Careers

How can the MSc/PGDip support your career?

Once you graduate, you'll be prepared for a career as a computational neuroscientist in the healthcare sector, medical research or academia.

You could also consider continuing your studies to PhD level.

We usually require a 2:2 (lower second-class) undergraduate honours degree in biology, biomedical science, computer science, engineering, mathematics, neuroscience or psychology.