Technical content for MSc Cognitive and Computational Neuroscience

Off

The MSc Cognitive and Computational Neuroscience courses uses mathematical concepts, and a large amount of teaching time is devoted to equipping you with the skills and techniques you need. The main thing we ask for is a willingness to learn as you study topics such as:

  • Probability theory, probability density functions, Bayes' theorem and maximum likelihood estimation;
  • Calculus, differential equations, and finding extrema of functions;
  • The general linear model for regression and parameter estimation;
  • Programming MatLab to test computational models.

To give you an understanding of the sort of technical knowledge you'll be aiming to have by the end of your training, we've included some documents below:

You can find out more about the course by visiting the University of Sheffield's online prospectus:

Cognitive and Computational Neuroscience MSc

Postgraduate taught
  • September 2024 start
  • 1 year Full-time

Gain in-depth training in core aspects of contemporary neuroscience, from sensation and sensory processing to understanding complex brain functions and artificial intelligence. You'll work on a research project in cognitive neuroscience with a world-leading expert from the Department of Psychology and be prepared for a career in research, healthcare, industry or study to PhD level.

Related information

Masters courses in Psychology

Four students laughing while sat at a bench, outside the Students' Union

International Merit Scholarships

We offer a generous package of financial support for international students including 75 undergraduate scholarships worth £10,000 towards the annual tuition fee and 125 postgraduate taught scholarships worth £5,000 towards the tuition fee. Applications are now open for existing offer holders.

Scholarships for international students