The Medical School,
Faculty of Medicine, Dentistry and Health
Lead academic: Dr Julie Simpson
This course combines taught modules on the fundamental aspects of the major nervous system diseases, with the development of practical laboratory skills encompassing histopathology, molecular pathology and microscopy.
You’ll be trained to use tissue samples in neuroscience research aimed at understanding the pathophysiology of nervous system diseases and you’ll discover how laboratory breakthroughs have been translated into clinical benefits.
The course will be taught by scientists and consultant neuropathologists who are experts in their fields. You’ll get the opportunity to carry out neuroanatomy dissection and you’ll work with leading research groups during the research project.
We accept medical students who wish to intercalate their studies. Find out more on the Medical School's website.
- Basic Principles of Pathology and Histopathology
- Molecular Neuroscience
- Ethics and Public Awareness of Science
- Pathology and Modelling of Neurodegenerative Disease
- Neuroinflammation, Neuro-Oncology and Neurovascular Disease
- Literature Review and Critical Analysis of Science
- Research Project
The taught component of the MSc is delivered through practical laboratory classes and demonstrations, lectures, seminars and tutorials.
Assessment is primarily through written assignments and coursework, along with practical laboratory assessments, spotter exams, presentations and debates. The research project is assessed by a thesis and oral presentation.
1 year full-time
Minimum 2:1 BSc in a relevant science. Intercalating medical students are welcome to apply.
English language requirements
Overall IELTS 7.0 with a minimum of 7.0 in listening and 6.0 in the other components.
Fees and funding
You can apply for postgraduate study using our Postgraduate Online Application Form. It's a quick and easy process.
+44 114 222 2296
The course information set out here may change before you begin, particularly if you are applying significantly in advance of the start date.