Master in M2 Data, Knowledge and Hybrid Artificial Intelligence (DKAI)

The M2 Data, Knowledge and Hybrid Artificial Intelligence (DKAI) programme at Université Paris-Saclay specialises in training students in AI and data science, with a focus on hybrid AI that combines symbolic and connectionist approaches. This programme is designed for students who are keen on understanding both the theoretical and practical aspects of AI, and who are ready to tackle real-world problems. It offers the chance to work on actual projects, engaging with industry and research labs, and to conduct a lengthy internship.

Students will develop expertise in a variety of AI paradigms, from symbolic to neurosymbolic, and gain hands-on experience through modules like Exploring Data Declaratively: Constraints and Patterns and From Symbolic to Neurosymbolic AI. The programme also emphasizes the importance of ethical considerations, ensuring that graduates can design AI solutions that are not only innovative but also responsible and aligned with societal expectations.

Key to the programme's appeal is its strong international orientation, with all teaching conducted in English. Students benefit from a rich ecosystem of research opportunities and industrial partnerships, making it a robust choice for those aiming to excel in the field of AI and data science.