MASTER IN COGNITIVE SCIENCE COGNITIVE SCIENCE AND SOCIETY (SOC)

cog-SUP is a 2-year interdisciplinary and collaborative master’s program in cognitive science co-administered by Université Paris Cité and Sorbonne Université. It offers a very broad interdisciplinary openness and a fundamentally collaborative spirit, bringing together professors, researchers and students from very different backgrounds, united by common research questions.

The program is structured around a unified core curriculum complemented by robust disciplinary tracks. To maintain a well-balanced and foundationally sound interdisciplinary education, cog-SUP is organized into six different tracks. These tracks ensure the acquisition of genuine expertise in the concepts, methods, and techniques specific to each discipline, enhancing the clarity of skills associated with the diploma. The program establishes a common cultural foundation from the first year (M1) through a core curriculum and introductory courses to the different disciplines. In the second year (M2), the majority of courses are fully interdisciplinary and open to students from all tracks. Our goal is to cultivate cognitivists equipped with both robust disciplinary expertise and a broad interdisciplinary culture, essential elements for fostering meaningful collaboration across disciplines.

The Cognitive Science and Society (SOC) track explores human cognitive processes and social dynamics within our society. It offers an interdisciplinary approach, combining all the disciplines of the cognitive sciences (psychology, neuroscience, philosophy, linguistics, AI…) as well as other fields that can feed or be fed by the cognitive sciences (design, urbanism…). This course provides a solid methodological and theoretical background, an opening to the ethical reflection, with an emphasis on the concrete applications and reflections of cognitive science in fields such as education, health, ecological transition and public policy. This training enables critical and in-depth analysis of societal issues in the light of evidence-based data, and to provide scientifically valid and/or informed solutions within an ethical framework.