M2 Data, Knowledge and Hybrid Artificial Intelligence (DKAI)

M2 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 options.

The M2 Data, Knowledge and Hybrid Artificial Intelligence (DKAI) track of the Master’s in Computer Science at Université Paris-Saclay trains students to design trustworthy hybrid AI systems that combine machine learning and symbolic reasoning. The program covers theoretical and methodological foundations of data science, knowledge engineering, and hybrid artificial intelligence, including symbolic and connectionist dimensions of AI.

Training combines fundamental learning with practical application through supervised projects. Students work on analyzing and modeling complex problems using machine learning, deep learning, symbolic reasoning, knowledge integration, and hybrid methods, including approaches that support big data tools and database or knowledge graph design. The curriculum includes projects, competitions, and internships in research laboratories or industry, with an emphasis on explainable and reliable AI.

The minimum requirements for admission in M2 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 M2 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