MASTER IN COGNITIVE SCIENCE COMPUTATIONAL NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE (NCIA)

Language(s) of instruction: English (100%)

Length of study: 1 year for the M1, 1 year for the M2, full time

Partner:  Sorbonne Université (Paris, France)

Course Location: Most teaching takes place in the center of Paris, at Université Paris Cité and Sorbonne Université, within walking distance.

Degrees awarded: Master Neurosciences Computationnelles et Intelligence Artificielle / Computational Neuroscience and Artificial Intelligence

Entry Requirements: M1: having obtained or being in the process of validating an undergraduate diploma in one of the foundational disciplines of cognitive science, coherent with NCIA: Biology, Mathematics, Physics, Computer Science…
M2: having obtained an equivalent to M1 level within a related field or an engineering curriculum or a medicine curriculum.
Learn more : cog-sup.fr/application

Language pre-requisites: C1 level in English

Course overview

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 Neuroscience and Artificial Intelligence (NCIA) program provides comprehensive interdisciplinary training at the intersection of cognitive sciences, computational neuroscience, and artificial intelligence. By combining rigorous theoretical approaches and advanced digital tools, this program aims to develop experts capable of modeling and analyzing the natural and artificial mechanisms of cognition.

This program is designed for students with a dual skill set or strong interest in complementary disciplines. Ideal profiles include: students in mathematics, physics, computer science or engineering with an interest for neuroscience, psychology or biology, or conversely, students in neurosciences, psychology or biology with training in mathematical and computational tools. Graduates of the NCIA program will be equipped for diverse careers in: academic and applied research (computational neuroscience, AI, cognition), tech industries (AI, data processing, digital health) and as experts in technology and data ethics.

Skills and competencies developed
  • Provide students with the knowledge and tools required in Cognitive Science
  • Foster a fruitful collaborative spirit between students
  • Respect scientific ethics
  • Design and develop scientific projects
  • Implement a project, define the objectives and context, carry out and evaluate the action
  • Conduct and develop scientific and technical projects
  • Analyze and interpret the results of scientific experiments
  • Master specific methods and tools
  • Use information and communication technologies
  • Conduct information research, identify access modes, analyze relevance, explain and transmit
  • Scientific communication in English
  • Teamwork: integrating, positioning and collaborating
  • Integrate into a professional environment: identify your skills and communicate them

Contact

NCIA Chairs
Mr. Jonathan Vacher
jonathan.vacher@u-paris.fr
Mr. Benoît Girard
benoit.girard@sorbonne-universite.fr
cog-SUP Directors
Ms. Laura Dugué
laura.dugue@u-paris.fr
Mr. Mehdi Khamassi
mehdi.khamassi@sorbonne-universite.fr
cog-SUP secretaries
UPCité and SU
secretariat@cog-sup.fr