Master in M1 Data, Knowledge and Hybrid Artificial Intelligence (DKAI)

Organised in two years (M1 and M2), the Data, Knowledge and Hybrid Artificial Intelligence (DKAI) Master programme at Université Paris-Saclay offers a complete and stimulating formation, recognised for its character and the partners, including the Polytechnic Institute, AgroParisTech, CentraleSupélec, and ENS Paris-Saclay. It covers deep learning, machine learning, symbolic AI and artificial intelligence. The DKAI programme is enriched by solid industrial partnerships and offers a multitude of teaching methods (courses, tutorials, practical work, projects, and internships).

It is designed for students who have completed a Bachelor's degree in computer science, mathematics, or engineering, with strong skills in mathematics, programming, databases, and algorithmics. Students develop expertise in the acquisition, management, and analysis of data, as well as the implementation and optimization of AI systems. The programme is in English, conducted in a multicultural setting that includes a semester abroad.

Students gain the skills to develop reliable and trustworthy AI systems, combining symbolic AI and machine learning, and to address challenges in data transformation, ethical AI, and regulatory compliance. This programme prepares students for careers in industry and research, with opportunities for further studies in doctoral programmes. An emphasis is placed on the ethical, reliable, and socially responsible use of AI and data systems.