Research Methods for Neuroscience (C1147)

15 credits, Level 4

Spring teaching

You’ll explore modern techniques for collecting, analysing and interpreting data in neuroscience. These are essential skills for understanding evidence on the workings of the brain, and becoming a neuroscientist.

The module is taught in three parts:

  • statistics – basic statistical skills needed for neurobiology, including the use of R/R-studio open-source statistical software
  • methods and data in Neuroscience – engagement with primary neuroscience literature or datasets, application of analysis skills and oral communication
  • Physics for Neuroscientists – basic mathematics (derivatives) and physics (waves, electrical circuits) necessary for understanding the fundamentals of biophysics and neuroscience.


52%: Lecture (Lecture, Online lecture)
35%: Practical (Online workshop, Workshop)
13%: Seminar (Class)


100%: Coursework (Media production, Problem set, Test)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 40 hours of contact time and about 110 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.


This module is offered on the following courses: