This versatile master's degree combines cognitive and clinical approaches to neuroscience. It seeks to apply neuroscientific techniques to further your understanding of the human mind and explores the underlying mechanisms associated with disease and disorders of the nervous system. You'll be equipped with an understanding of contemporary issues in cognitive and clinical neuroscience and developing your skills and ability to use neuroscientific methods in a research and clinical environment.

Why study the Cognitive and Clinical Neuroscience* at Middlesex University

This course focuses on the advanced study of neuroscience, with a focus on understanding the brain in both health and disease.

A uniquely interdisciplinary course, you'll be taught by internationally recognised academics from both the Psychology department and in Biomedical Sciences. You'll have access to state-of-the-art neuroscience equipment, such as electroencephalography (EEG) and non-invasive brain stimulation as well as lab facilities to get hands-on experience in neuroimaging and non-invasive neuro-stimulation techniques.

This course is ideal if you wish to extend your research interests to doctoral level or you’re looking to apply neuroscience in clinical and research settings.

This programme will provide you with the skills and knowledge necessary for careers in UK health services and research centres. It's also is suited to those who want to pursue a career in data analysis, cognitive science, academic research (MPhil/PhD), teaching in higher education, and clinical neurophysiology (e.g. in the NHS).

The range of professional skills that Cognitive and Clinical Neuroscience MSc graduates develop ensures that they're highly valued across the economy. The programme develops a range of broad skills including critical thinking and scientific reasoning. With a greater emphasis on data handling and critical engagement with statistics in today’s workplace these skills are thought to provide better opportunities for graduates to enter positions where data analytics are valued.