Computational Neuroscience and Cognitive Robotics MSc

The taught modules and research training will provide hands-on expertise and knowledge to successfully perform two short research placements and a longer independent research project, which will be closely supervised by a relevant member of academic staff.

Taught modules cover relevant aspects of cognitive and brain function, including brain imaging and cognitive robotics. Three optional paths are available so that the taught modules are tailored to your interests and previous knowledge. The three paths are intended to enhance either the neuroscience, the computational or the robotics components of the course.

Modules include:

• Mind, Brain and Models
• Foundation/CNCR Issues
• Proposing Research in Psychology
• Practical Research Skills for CNCR

Optional Modules:

• Intelligent Robotics
• Advanced Robotics
• Robot Vision
• Advanced Computational Methods
• Introduction to Computational Methods
• Software Workshop 1
• Advanced Brain Imaging Methods
• Fundamentals in Brain Imaging
• Application of Electrophysiological Approaches in Cognitive Neuroscience
• Introduction to Neuroscientific Methods
• Neural Computation
• Foundations of Data Science

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 2020. 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.

Students also undertake a supervised research project, leading to a 6,000-word research dissertation. See some of the recent projects (PDF 331Kb) undertaken by students on the course.

See a full list of modules and descriptions (PDF 214Kb)