M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI)

M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI) is a Masters program taught at Université Paris-Saclay, France. The program is offered in campus-based modes with full-time (2 years (M1 and M2)) options.

The M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI) is a full-time Master’s specialisation in Computer Science at Université Paris-Saclay. The track develops theoretical and methodological foundations in data science, knowledge engineering, and hybrid artificial intelligence, covering symbolic and connectionist dimensions of AI.

Students learn to analyze and model complex problems using data science, symbolic AI, and hybrid AI. They match problem types with machine learning, deep learning, symbolic reasoning, knowledge integration, or hybrid methods, and assess performance, explainability, and robustness. The programme includes practical application through supervised projects linked to Paris-Saclay research laboratories.

The DKAI track is organized over two years across M1 and M2 and includes projects, challenges, and two internships in research laboratories or industry. Courses are delivered in English and support an international learning environment.

The minimum requirements for admission in M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI) at Université Paris-Saclay for all applicants (Domestic or International) are:

• program specific academic requirment set by Université Paris-Saclay.
• English Language OR any other language requirments as set by Université Paris-Saclay as pre-requiste for admission in M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI).

Note: Please check the university website in the link below.

Please check detail of study units at https://www.universite-paris-saclay.fr/en/education/master/computer-science/m1-data-knowledge-and-hybrid-artificial-intelligence-dkai