Relevant degree programs and classes

NeuroAI is a wide field and researchers in NeuroAI come from a wide set of backgrounds, spanning Neuroscience, Cognitive Science, Psychology, Computer Science, Engineering, Mathematics, and many more. While we cannot give an exhaustive list of all relevant classes and degree programs at Oxford that provide relevant skills for NeuroAI, the list below gives students a first starting point to find relevant classes within their undergraduate course, or relevant graduate degrees.

Classes within undergraduate courses

• ‘How to build a brain from scratch’ (part of Experimental Psychology undergraduate)

• ‘Systems Neuroscience’ (part of Medicine and Biomedical Sciences undergraduate degrees)

• ‘Natural and Artificial Cognition’ (part of Biology undergraduate)

• ‘Artificial Intelligence’ (part of Computer Science undergraduate)

• ‘Machine Learning’ and ‘Machine Vision and Robotics’ (part of Engineering undergraduate)

Suggested Masters degrees

• MSc in Neuroscience (with strong computational elements)

• MSc by Research in Experimental Psychology

• MSc in Advanced Computer Science

• MSc by Research in Engineering Science

• MSc in Clinical and Therapeutic Neuroscience

Suggested DPhil programs

• DPhil in Neuroscience

• DPhil in Physiology, Anatomy and Genetics (focus on neuroAI)

• DPhil in Experimental Psychology

• DPhil in Computer Science

• Interdisciplinary Life Science (ILESLA) program

• Fundamentals of AI CDT

• Healthcare Data Science (EPSRC CDT)