Connectionists: Applications for 2024-25 entry: MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK)

[Max Garagnani]

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The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE  at Goldsmiths, University of London (UK)
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is accepting APPLICATIONS for FULL- and PART-time studies in 2024-25.

NOTE: places on this programme are limited and will be allocated on a first-come first-served basis.

The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below).

Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research.

For more INFORMATION about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/

HOW TO APPLY:
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Submitting an online application is easy and entirely free of cost.
Simply click on THIS LINK<https://mygoldsmiths.gold.ac.uk/OnlineServices/applications/appModuleList.aspx?id=128000142398953> and follow the instructions.


COURSE OUTLINE:
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This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for full-time studies). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered.

The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out in house or in collaboration with an external partner, either from academia or industry.

For samples of previous students' MSc projects , visit: https://coconeuro.com/index.php/student-projects/

LINKS WITH INDUSTRY:
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The programme benefits from an ongoing collaborative partnership with different international companies having headquarters in the UK, the EU, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills much in demand on the job market, providing a fast-track route towards post-master's internships and employment.

For examples of career paths taken by some of our graduates, and to read what they have to say about this course, visit: https://coconeuro.com/index.php/alumni/

For any further information, including entry requirements, fees and funding opportunities, please visit:
https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/
https://www.gold.ac.uk/pg/fees-funding/

For any other specific questions, please do not hesitate to get in touch.

Max Garagnani, PhD. PhD.

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Joint Programme Director, MSc in Computational Cognitive Neuroscience
Senior Lecturer in Computer Science
Department of Computing
Goldsmiths, University of London
Lewisham Way, New Cross
London SE14 6NW, UK
https://www.gold.ac.uk/computing/people/garagnani-max/

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