Download the course brochure (PDF 196KB)
The CNCR MSc course is highly interdisciplinary encompassing psychology, cognitive science, neuroscience, computational modelling, neuroimaging, robotics, and patient rehabilitation. The Course is designed for those who are interested in applying knowledge of neural systems, brain function, and modeling to research in human cognition, perception, sensory and motor systems as well as the design of bio-inspired and biologically plausible robotic systems. It has a strong research focus with hands-on modules and practical applications. The course is aimed at both students from psychology/neuroscience with a strong quantitative background and at students from computer science and physics that want to apply their knowledge to neuroscience.
A significant part of the CNCR MSc Course involves being part of a research group and conducting an independent research project. For this, you will be assigned a primary supervisor who will help to develop a research proposal in Semester 1 and supervise the research project in Semester 3. Your research project is written up as the masters dissertation and counts for one third of your degree. You will also be assigned a secondary supervisor that supervises your research placement in Semester 2. Exposure to a different research group is intended to broaden research experience and widen research skills repertoire.
The course is organised jointly through the Schools of Psychology and Computer Science, where the primary supervisor will be selected, but you can participate in research also by choosing the secondary supervisor as an affiliate of the CNCR to experience research in Sport and Exercise Sciences, Electrical Engineering, Chemical Engineering, and Medical science.
Your choice of course modules will be individualised and agreed between you and your primary supervisor. The goal is to develop your knowledge and skills to allow you to carry out your research project in Semester 3 while learning a wide range of neuroscience, computation, and experimental method topics. Several modules rely on Matlab programming skills for their practical exercises, which could be used also in the placement and project. Students that don't have a sufficient programming knowledge will be required to attend a programming course in Semester 1. Students with an engineering or computational background will be required to audit 'Introduction to Mind Brain and Models' in Semester 1.
You will be taught to devise a research plan, and will read and comment on scientific articles. You will choose the topic for your research project with the help of a research proposal module. A year-long CNCR Foundations module allows you to participate in CNCR seminars, journal clubs, and lab activities to have sufficient knowledge to carry out the research project. This will expose you to cutting edge research and labs. You will also learn to present your research in oral and poster format through a Transferable Skills module in Semester 2.
For more module information see the Modules tab.
You can select from a range of research topics depending on your areas of interest, and there are a number of supervisors who can provide support. See some of the recent projects and placements undertaken by students on the programme.
This course provides a flexible inter-disciplinary research apprenticeship, suitable for those seeking to begin commercial or postgraduate research.
You will have access to state-of-the-art equipment for brain imaging, electrophysiological recording, psychophysics, human-computer interfaces, advanced data analysis, computational modelling and robotic systems, supervised by internationally leading researchers.
The taught modules and research training will provide hands-on expertise and knowledge to successfully perform two short research placements and a longer independent research project, which will be closely supervised by a relevant member of academic staff.
Taught modules cover relevant aspects of cognitive and brain function, including brain imaging and cognitive robotics. Three optional paths are available so that the taught modules are tailored to your interests and previous knowledge. The three paths are intended to enhance either the neuroscience, the computational or the robotics components of the course.
Introduction to Computational Methods
Mind, Brain and Models
See a full list of modules and descriptions (PDF 180KB)
You must have a strong interest in learning in an interdisciplinary environment and substantial quantitative and programming skills in Matlab, Java or C. Students with good undergraduate degrees from relevant backgrounds are encouraged to apply. These include psychology, neuroscience, computer science, physics, engineering and mathematics. All applications will be looked at on an individual basis.
Learn more about entry requirements
We accept a range of qualifications, our country pages show you what qualifications we accept from your country.
English language requirements
You can satisfy our English language requirements in two ways: