The programme comprises lectures, practical work and workshops in the first term, followed by full-time work on a research project. You will also attend regular symposia and a neurotechnology journal club throughout the year.

Taught Element

You will study four taught modules, worth just over 20% of the overall degree.

Neuroscience (33%)

Introduces students to the key principles and methods of neuroscience, covering multiple levels of organisation, from molecules to behaviour.

Computational and Statistical Methods for Research (33%)

Provides a foundation in Python programming and statistical methods to prepare students for their extended research project.

Frontiers in Neurotechnology Research (33%)

Introduces students to the breadth and variety of research in Bioengineering and develops presentation, writing and critical analysis skills.

Topics in Biomedical Engineering (0% - pass/fail)

Students chose two level 7 modules offered by the department, based on relevance to their specific research project (typical modules incude: Brain Machine Interfaces, Computational Neuroscience, Bits, Brains and Behaviour, Hearing and Speech Processing, Mathematical Methods for Bioengineers). These modules are assessed by a written report.

Research Element

The Research Element comprises just over 80% of your MRes and provides an opportunity to demonstrate your advanced knowledge and write extensively on an emerging research theme.  In terms 2 and 3, you will focus on your research project, leading to submission of the MRes thesis in mid-September.  Your project will be supervised by a multidisciplinary team of at least two Imperial College London supervisors who will bring technical and neuroscience expertise to the project.

There are four assessed components of the Research Element:

  • Planning Report (13.3r%, submitted at the start of Spring term)
  • Poster presentation (13.3r%, due end of Summer term)
  • Thesis (60%, due late September)
  • Oral exam (13.3r%, due late September)
"The MRes was really important to transition from whatever studies you were pursuing before to neuroscience. In a field that interdisciplinary a good transition is vital and the few courses in the beginning helped a lot."  Carl Lubba, Mres & CDT Neurotechnology student, cohort 2