MSc Systems Neuroscience

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Lead academic: Dr Julie Simpson

This course combines taught modules on the fundamental aspects of the major nervous system diseases, with the development of practical laboratory skills encompassing histopathology, molecular pathology and microscopy.

You’ll be trained to use tissue samples in neuroscience research aimed at understanding the pathophysiology of nervous system diseases and you’ll discover how laboratory breakthroughs have been translated into clinical benefits.

The course will be taught by scientists and consultant neuropathologists who are experts in their fields. You’ll get the opportunity to carry out neuroanatomy dissection and you’ll work with leading research groups during the research project.

The practical application of laboratory techniques throughout the course will give you a contextual grounding in a research setting and are relevant to a career in academia, diagnostic laboratories or the biotechnology sector.

Book a 15-minute online meeting with our course tutors to find out more information and ask further questions.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Fundamentals of Neuroscience
  • Computational Neuroscience 1: Biologically Grounded Models
  • Neuro-Anatomy
  • Systems Neuroscience
  • Data Analysis and Visualisation
  • Research Project in Cognitive Neuroscience
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs