MASTER IN COGNITIVE SCIENCE COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE (LING)

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 Computational Linguistics and Artificial Intelligence (LING) track provides comprehensive training in the models and methods of natural language processing, from the linguistic and mathematical foundations of deep neural networks to the applications of large language models for information access, dialog systems, and machine translation. Its position within the cog-SUP Master’s program in Cognitive Science, offers a unique gateway to computational psycholinguistics and neurolinguistics, allowing exploration of the interfaces between language, perception, memory and action, with applications in robotics and human-machine interaction. At the end of their training, students will have a thorough understanding of the concepts, methods and techniques of natural language processing and artificial intelligence, and their implementation in advanced language information processing systems. Students who graduate from this program are likely to take up positions in artificial intelligence research and development teams in the public or private sector (from large international corporations to SMEs and start-ups) and also in data driven linguistics. Their education will prepare them to work effectively in highly multidisciplinary environments.