Although the focus will be on research methodologies, you will also explore applications in clinical neurology and neurophysiology. 10058 reviews. You'll acquire knowledge of how the brain works at cellular, network and system levels and build on your existing knowledge and skill base to gain key understandings that will be readily applicable for a career in computational neuroscience. This Masters programme will foster a new generation of scientists who will be trained in both neuro-computational modelling as well as cognitive neuroscience. The programme draws on an outstanding academic staff, ranging across many disciplines, including internationally renowned researchers in psychology, computational modelling, neuroscience and economics. May 2020, For further information please visit our Accreditation of Prior Learning page. Our entry requirements provide a guide to the qualifications that you’ll need to study our courses. We’ll do our best to look at your application on an individual basis, consider lower grades than normal and mock results, and look at more than your qualifications when we’re making a decision. The Department of Computer Science at the University of Surrey is offering up to 6 fully funded PhD studentships across its core research areas in cybersecurity and cryptography, distributed and concurrent systems, artificial intelligence and machine learning, computational neuroscience and bioinformatics, amongst others. His main research area is neural processing, particularly cell assemblies, and Natural Language Processing, which is a sub-field of Artificial Intelligence. Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research. The study of the brain as a computational device has recently been revolutionised by advances in AI and neuroscience. It equips you with the skills to contribute to biologically realistic simulations of neural activity and developments. Students choosing a research project in the same subject area as their specialised module may graduate with MSc Neuroscience within that specialty. We will be using TensorFlow, Google's important DL resource. We will write Keras DL code in Jupiter notebooks and plot graphs with another Python library, matplotlib. The module covers current programming languages and environments commonly used in the wider Data Science community, along with ancillary tools and software systems, and gives the student the foundational skills to allow them to develop data-related software for their specific areas of interest. Its core topics include: The programme is suitable for students from a variety of disciplines including – but not limited to – psychology, computing, neuroscience, engineering, biology, maths and physics. The MSc Computational Cognitive Neuroscience at Goldsmiths, University of London uses computer modelling & research to understand brain, cognition & behaviour. This module gives you the tools required to design effective and efficient experiments and to test scientific hypotheses. Speech, gait, balance, posture, tremor and planning; 2. You'll develop your skills in recording, securely storing, analysing and visualising neural data to aid diagnosis and to determine the best treatment options or to answer a research question. The MSc Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science. Tutors: Devin B Terhune and Maria Herrojo Ruiz. Brain imaging and Computational Neuroscience; Neuro-inflammation, Neuro-trauma and Neuro-regeneration ; Both components carry equal weighting for your final grade. 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