Goals

The MSc in Neural Systems and Computation provides trans-disciplinary knowledge, skills, and a mindset to prepare researchers for their first decade of independent research, or a contribution to industry.

You will have the opportunity to be trained and mentored in the following areas:

  • systems neuroscience and the current understanding of how neural architectures give rise to sensory, motor and cognitive functions
  • neural computation and how theories of neural computation relate to the classical theory of computation
  • experimental techniques in neurobiology such as electrophysiology, optical imaging and electron microscopy
  • theories, methods, and algorithms employed in the computational analysis of neurobiological data
  • theory and design principles for the construction of neuromorphic hardware and of systems that interact intelligently with the world

The training covers how to:

  • conduct independent scientific research and complete a research project
  • analyze, evaluate, and summarize scientific literature and write a research proposal
  • present scientific research results in talks and written reports targeted at specialist, trans-disciplinary, and general audiences