Neural Computation & Neuroinformatics

Information on the specialist area Neural Computation & Neuroinformatics.

This specialist area prepares students for entry into PhD programmes or for employment as research workers at the intersection of the study of the brain and the study of its computation. It ranges from the study of cellular and subcellular computational processes through behavioural processes, to software methodologies for brain research - the emerging field of Neuroinformatics.

Students registered in this Specialist Area are recommended to select at least fifty credit points from these courses, including the core course. Please note courses are subject to availability.

Video introduction to the specialism (.mp4)


Semester 1 Semester 2
Core Course

Neural Computation


Optional Courses

Bioinformatics 1

Computational Cognitive Neuroscience

Introductory Applied Machine Learning (20 credits, level 10)

Machine Learning and Pattern Recognition (20 credits)

Robotics: Science and Systems (20 credits)

Bioinformatics 2

Neural Information Processing

Probabilistic Modelling and Reasoning (20 credits)

Reinforcement Learning

Machine Learning Practical (20 credits, full year)


Related links

Informatics sortable course list

Informatics course timetable