Normally a minimum of an upper second-class Bachelor of Science degree from a UK university in an appropriate scientific discipline (e.g. neuroscience, cognitive science, biological and biomedical science, medicine, anatomy, physiology, psychology, computer science) or an overseas qualification of an equivalent standard. Preference will be given to applicants who have both core knowledge of direct relevance to the MRes programme and relevant expertise and skills in empirical research.
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good.
Further information can be found on our English language requirements page.
Months of entry
This MRes is an innovative research-led programme which brings together expertise from across the Faculty of Brain Sciences and offers you the opportunity to work and train with leading researchers at one of the most highly regarded centres of excellence in brain science in the world.
This comprehensive programme will provide core knowledge and skills, and ensure that prospective PhD candidates are thoroughly acquainted with the background as well as with the expanding scope of the field.
The unique curriculum will develop knowledge and insight into the broad and interdisciplinary scope of brain science through practical experience and exposure to contemporary topics in brain sciences research delivered through a series of innovative masterclasses led by internationally renowned researchers at UCL.
With an empirical research project encompassing two-thirds of the programme, quantitative and qualitative tools for research will be developed including core skills in the implementation, management and dissemination of research.
Full-time: 1 year;
Fees and funding
Fee UK/EU Full-time: GBP13,230; Overseas Full-time: GBP25,490;
Qualification and course duration
The programme is delivered through a combination of lectures, seminars, independent study, journal clubs, independent and collaborative problem-based tasks, practical demonstrations and classes, computational work, and a supervised empirical research project. Assessment is through online tasks, unseen written examinations, essays, oral presentations, research-based tasks and a primary research article.
Course contact details
- +44 (0)20 3370 1214