Since the inception of the computing paradigm, the prevalent metaphor for a computer has been that of a multi-purpose tool, as exemplified by the use of “command lines” and “desktops” at the interface between humans and computers. The unparalleled prevalence of computing-enabled devices in our everyday lives, and the widespread access to information over the Web, suggests a more apt metaphor for a modern computer, that of an assistant. Humans no longer use, but rather collaborate with their devices to solve a cognitive task, with each party learning and adapting to the capabilities of the other. Communication and decision-making happens at a level that is transparent to, and cognitively-compatible with, human abilities and limitations. One no longer speaks of human-computer interaction, but of human-computer symbiosis. To teach the new paradigm of cognitive computing, the M.Sc. Program in Cognitive Systems brings together two main scientific areas: Cognitive Psychology, and Artificial Intelligence in Computer Science. Aiming, on the one hand, for the prospective students to understand the basis for human cognition, the Program is strongly influenced by Cognitive Psychology and includes learning modules that explore the fundamentals of perception, learning, mental representation, and reasoning in humans. Aiming, on the other hand, for the prospective students to be able to design cognitive systems, the Program places its emphasis on the investigation of computational methods and tools for understanding and designing cognitive systems, and includes learning modules from Connectionist and Symbolic Artificial Intelligence, from Machine Learning, and learning modules on recent developments in Cognitive Computing.
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These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
The program is geared towards students with a first degree in the STEM fields (Science, Technology, Engineering, and Mathematics), or a first degree in Cognitive Science or Psychology. The program assumes basic knowledge in the field of mathematics (discrete mathematics, formal logic, probability/statistics, calculus), and computing (algorithms, basic programming). This should be demonstrated in the application of a prospective student by listing relevant courses taken in earlier degrees or by offering proof of completion of relevant online courses (e.g., MOOCs).
Highly-motivated candidates from other disciplines are also encouraged to apply, but should expect to put extra effort to complement their prior studies by following additional induction elements linked to individual courses so that they can acquire the required background for these courses.
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| Test Scores: | - International English Language Testing System (academic or immigration) or Test of English as a Foreign Language (Internet Based) or DuoLingo
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| Additional Admission Requirements: | - Resume/Curriculum Vitae
- Statement of Research Interests
Additional Admission Criteria for a Postgraduate Programme are: The additional admission criteria that may be applied, if specified in the Department’s or the postgraduate programme’s regulations, include: - Interview.
- Written examination.
- Submission of a preliminary research proposal for admission to a PhD programme.
- Other criteria that may be adopted by each department individually.
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* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.