MSc Computational Neuroscience, Cognition and AI

Undergraduate degree 2:1 (or international equivalent); 2:2 (or international equivalent) may be considered provided the applicant has at least one year of relevant work experience or another supporting factor; for quantitatively minded students with a background in psychology, neuroscience, or biosciences as well as those with training in physics, engineering, mathematics, or computer science; no specific biology or computer knowledge required. In their final two years of study applicants must have achieved a 2.1 (60%) in 2 module(s) covering at least two of the following subjects: mathematics, statistics, physics, data analysis, computer science. If such skills were gained independently, evidence should be provided.

This course requires mathematical and programming skills. You can download this test (pdf) to see if your knowledge is suitable for the course.

For fees and funding options please visit website to find out more 

This course provides an ideal preparation for a PhD in computational neuroscience, psychology or artificial intelligence.

Those who take up a postgraduate research opportunity with us will receive support in terms of close contact with supervisors and specific training. You will also benefit from dedicated advice from our Careers and Employability Service.

Other careers include:

• biomedical modelling
• artificial intelligence
• data science
• brain imaging.

Core

• Machine Learning in Science – Part one
• Computational Cognitive Psychology
• Neural Computation
• Research project
• Practical Biomedical Modelling

Optional

• Computer Vision
• Applied Nonlinear Dynamics
• The Physics of Deep Learning
• Advanced Methods in Psychology
• Machine Learning in Science – Part two
• Professional Skills for Psychology
• Research Internship