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<p class="MsoNormal"><span style="color:black">******************************************</span>****<span style="color:black">****************************************</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">**********************************************</span>****<span style="color:black">************************************</span><br>
<span style="color:black">is </span>accepting <span style="color:black">APPLICATIONS for
</span>FULL- and PART-time studies in <span style="color:black">202</span>4<span style="color:black">-2</span>5.<o:p></o:p></p>
<p class="MsoNormal"><br>
NOTE: p<span style="color:black">laces on this programme are limited and will be allocated on a first-come first-served basis.
</span><br>
<br>
<span style="font-size:12.0pt;color:black">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). <span class="apple-converted-space"> </span></span><o:p></o:p></p>
<p class="xmsonormal" style="margin:0cm"><span style="font-size:12.0pt;color:black">Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research. </span><o:p></o:p></p>
<p class="xmsonormal" style="margin:0cm;font-variant-caps:normal;orphans:auto;text-align:start;widows:auto;word-spacing:0px">
<span style="font-size:12.0pt"><br>
</span><span style="color:black">For more INFORMATION </span>about the course, <span style="color:black">
please visit: </span>https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/
<o:p></o:p></p>
<p class="MsoNormal"><br>
<span style="color:black">HOW TO APPLY:</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">=============</span><br>
<span style="color:black">Submitting an online application is easy and </span>entirely
<span style="color:black">free of cost.<span class="apple-converted-space"> </span></span><span class="apple-converted-space"><br>
</span><span style="color:black">Simply </span>click on <a href="https://mygoldsmiths.gold.ac.uk/OnlineServices/applications/appModuleList.aspx?id=128000142398953" title="https://mygoldsmiths.gold.ac.uk/OnlineServices/applications/appModuleList.aspx?id=128000142398953">
THIS LINK</a> <span style="color:black">and follow the instructions.</span><o:p></o:p></p>
<p class="xmsonormal" style="margin:0cm"><span style="font-size:12.0pt;color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">COURSE OUTLINE:</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">===============</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">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). (<i>Note<b>:</b> students who need a Tier-4
VISA to study in the UK <u>can only register for full-time </u></i></span><i><u>studies</u></i><span style="color:black">). 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. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">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
</span>in collaboration <span style="color:black">with an external partner, either from academia or industry.</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">For samples of previous students</span>'<span style="color:black"> MSc projects , visit: <a href="https://coconeuro.com/index.php/student-projects/">https://coconeuro.com/index.php/student-projects/</a></span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">LINKS WITH INDUSTRY:</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">====================</span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">The programme benefits from an ongoing collaborative partnership with different international companies
</span>having <span style="color:black">headquarters in </span>the U<span style="color:black">K,
</span>the EU, <span style="color:black">and Japan. </span>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.<o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal">For <span style="color:black">examples of career</span> paths<span style="color:black">
</span>taken <span style="color:black">by some of our </span>graduates<span style="color:black">,
</span>and to read <span style="color:black">what they have to say </span>about <span style="color:black">
this course</span>, visit<span style="color:black">: <a href="https://coconeuro.com/index.php/alumni/">
https://coconeuro.com/index.php/alumni/</a></span><o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">For any further information, including entry requirements, fees and funding opportunities, please visit:<o:p></o:p></p>
<p class="MsoNormal">https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/<o:p></o:p></p>
<p class="MsoNormal">https://www.gold.ac.uk/pg/fees-funding/<o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">For any other specific questions, please do not hesitate to get in touch.</span><o:p></o:p></p>
<p class="MsoNormal"><br>
<span style="color:black">Max Garagnani</span>, PhD. PhD.<o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="color:black">--</span><o:p></o:p></p>
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<p class="MsoNormal">Joint Programme Director, MSc in Computational Cognitive Neuroscience<o:p></o:p></p>
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<p class="MsoNormal">Senior Lecturer in Computer Science<br>
Department of Computing <o:p></o:p></p>
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<p class="MsoNormal">Goldsmiths, University of London<o:p></o:p></p>
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<p class="MsoNormal">Lewisham Way, New Cross<o:p></o:p></p>
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<p class="MsoNormal">London SE14 6NW, UK<o:p></o:p></p>
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<p class="MsoNormal"><a href="https://www.gold.ac.uk/computing/people/garagnani-max/">https://www.gold.ac.uk/computing/people/garagnani-max/</a><o:p></o:p></p>
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<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">*******************************************************************************<o:p></o:p></p>
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