Connectionists: Applications are OPEN:: MSc in Computational Cognitive Neuroscience in 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 now ACCEPTING APPLICATIONS for 2021-22 ENTRY.


Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. 


For INFORMATION ABOUT THE COURSE please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/


HOW TO APPLY:
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To submit a free-of-cost online application, simply click on the following link:

https://bit.ly/2Fi86SB

and follow the instructions.


COURSE OUTLINE:
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This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry.
 

Here is a the recording of a short live presentation of this MSc programme:

https://coconeuro.com/wp-content/uploads/2020/11/24.11.20-PGOpen.mp4


This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: international / EU 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 (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate 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 MSc final Research projects, visit: https://coconeuro.com/


For information about funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/fees-funding/


LINKS WITH INDUSTRY:
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The programme prides itself of having active partnerships with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, USA and Japan. Carrying out your final project in collaboration with one of our industry partners (or securing a placement with them after completion of your degree) will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market.

Here is what our alumni have to say about this course: https://coconeuro.com/


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


Kind regards,

Max Garagnani

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Joint Programme Leader, MSc in Computational Cognitive Neuroscience

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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