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Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MRes - Master of Research

Subject areas

Biotechnology Neuroscience / Neurobiology

Course type


Course Summary

This course provides grounding in neurotechnology research, and enables you to develop the technical skills required to carry out successful PhD work. Neurotechnology is the use of insights and tools from mathematics, physics, chemistry, biology and engineering to investigate neural function and treat dysfunction. Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The MRes Neurotechnology is a one year full-time programme which will provide you with technical knowledge, expertise and transferable skills in this exciting area. Our MRes will prepare you for an innovative research career at the interface between neuroscience and engineering, in academia, industry, or elsewhere. The MRes Neurotechnology provides unique training at the interface between neuroscience and engineering, enhancing your skills in research, analysis and scientific presentation and developing your ability to work in a multidisciplinary team. Our programme provides a solid foundation in research for those continuing with a neurotechnology career, whether within the CDT Neurotechnology programme or a separate PhD, or working in industry. Assessment involves the following: Coursework; Oral presentations; Research thesis; written examinations and written reports.


Neuroscience - Core
Frontiers in Neurotechnology Research - Core
Topics in Neural Engineering - Core
Computational and Statistical Methods for Research - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have a minimum requirement of 2.1 degree in engineering or physical science. Students from a biological or medical sciences background may be considered if they can demonstrate substantial quantitative skills.