Cognitive Neuroscience and Human Neuroimaging
Department of Psychology,
Faculty of Science
This course is about the relationship between brain function and mechanisms that underpin behaviour. Computational neuroscience uses data to construct models of brain function. Cognitive neuroscience and human imaging relate function to its underlying neural substrate.
The course includes an extended research project which gives you the chance to carry out an in-depth imaging study. The computational and analytical skills you’ll learn are great preparation for a PhD. The course takes students from both life sciences and the physical sciences and engineering. Appropriate training is given to ensure all students can master the required skills and complete the course successfully.
We accept medical students who wish to intercalate their studies. Find out more on the Medical School's website.
- Fundamentals of Cognition
- Fundamentals of Neuroscience
- Neuroimaging 1
- Neuroimaging 2
- Data Analysis and Visualization and Research Project in Cognitive Neuroscience.
Students will also study two modules in either Pathway 1 or Pathway 2:
Pathway 1: Applied Neuroanatomy and Clinical Neuroscience, and Systems Neuroscience
Pathway 2: Computational Neuroscience 1 and Computational Neuroscience 2.
Teaching is through lectures, seminars and laboratory classes.
There are examinations at the end of semesters one and two, written coursework and an extensive empirical research project over the summer.
1 year full-time
A 2:1 honours degree or equivalent qualification in either a life science or mathematical/physical science.
We also accept medical students who wish to intercalate their studies.
English language requirements
Overall IELTS grade of 6.5 with 6.0 in the other components, or equivalent.
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 6534
The course information set out here may change before you begin, particularly if you are applying significantly in advance of the start date.