The course comprises of a series of taught core and optional modules. The core modules are designed to promote development of skills in experimental design, data science and analysis, and scientific writing.
Several core modules are shared across the two pathways, but some are specific to either the cognitive or computational neuroscience pathway:
- Research Methods & Skills in Psychology
- Proposing Research
- Cognitive Neuroscience Methods & Applications (cognitive neuroscience pathway)
- Data Science for Behaviour and Brain I (cognitive neuroscience pathway)
- Mind, Brain, Models (computational neuroscience pathway)
Optional modules are shared across MSc programmes in the School of Psychology. Examples of optional modules available at this moment are:
- Translational Cognitive Neuroscience
- Magnetic Resonance Imaging in Cognitive Neuroscience
- Application of Electrophysiological Approaches in Cognitive Neuroscience
- Modelling Development and Diversity
- Introduction to Computational Methods (computational neuroscience pathway)
- Data science for behaviour and brain I and II
Students on the computational neuroscience pathway can also take specific modules from Computer Science. For example:
- Intelligent Robotics
- Neural Computation
- Machine Learning and Intelligent Data Analysis
- Advanced Robotics
- Robot Vision
Finally, students undertake a supervised research project, leading to a 6,000-word research thesis.
Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods. Unless indicated otherwise, the modules listed for this programme are for students starting in 2024. On rare occasions, we may need to make unexpected changes to compulsory modules after that date; in this event we will contact offer holders as soon as possible to inform or consult them as appropriate.