How does the human brain acquire or reacquire knowledge? How does it interact with technological objects or with other brains? Can Artificial Intelligence be used to model and simulate human cognition? Can our knowledge of human psychology be put at the service of major societal challenges, such as health, education, or the fight against poverty? Cognitive sciences have an increasing number of applications in a wide variety of sectors: education, remediation, brain-machine interface, biomedical engineering, public policy, decision-making sciences, urban planning, etc. To meet the needs defined by these new applications, the Cogmaster offers a one-year M2-level training in Cognitive Engineering (for more information, click here).
Three “compulsory” courses and a list of “optional” courses define the pedagogical content of the track. In these courses, the theoretical foundations of cognitive engineering will be exposed to the students and will be illustrated with concrete examples.
The teachers are representatives from the academic world, but also from the business world and administrations. To complete this training, students do an internship in a company or in a public administration in close collaboration with researchers from the academic world.