M2 Data, Knowledge and Hybrid Artificial Intelligence (DKAI)
The Data, Knowledge and Hybrid Artificial Intelligence (DKAI) track of the Master’s in Computer Science offers a two-year program of excellence (M1 and M2), combining data science and artificial intelligence. It brings together strong expertise in machine learning, big data, and an in-depth understanding of the different paradigms of AI—from symbolic AI to agent-based AI, including hybrid and generative AI. Throughout the curriculum, students develop their skills through numerous projects, challenges, and two internships in research laboratories or industry, preparing them for ambitious careers in both industry and research.
The DKAI track delivers advanced training over two years (M1 and M2) in data science and artificial intelligence. It combines advanced mastery of machine learning techniques, expertise in managing and analyzing massive datasets, and a deep understanding of the various paradigms of AI, from symbolic to hybrid and generative approaches. Students benefit from multiple opportunities to put their academic knowledge into practice through projects, competitions, and internships in research labs or companies.
A springboard to the careers of tomorrow
This program prepares students to tackle major challenges related to transparency, ethics, and security in the development of AI-based systems. They acquire the skills required to design cutting-edge, reliable, and explainable solutions that comply with regulatory requirements and societal expectations in sensitive sectors. The DKAI track also offers strong academic prospects, equipping students with methodological rigor and scientific expertise to pursue a PhD and contribute to state-of-the-art research in data science and artificial intelligence.
An environment of excellence
Delivered in English, supported by advanced technological resources, and embedded in a stimulating learning environment, the DKAI track trains versatile and responsible experts, ready to address the challenges of data science and artificial intelligence on both a national and international scale.
Acquire the theoretical foundations belonging to various types of data science approaches.
The DKAI track of the Master’s in Computer Science at Université Paris-Saclay is a comprehensive and dynamic program, recognized for its distinctive focus. It stands out through the advanced expertise it provides and the broad career prospects it offers, spanning both industry and research in data science and trustworthy artificial intelligence.
The program follows an integrated educational approach, combining the acquisition of fundamental knowledge in data science, artificial intelligence, and knowledge engineering with hands-on experience gained through supervised projects, case studies, and real-world applications.
The courses are closely connected to research activities carried out within the laboratories of the Paris-Saclay ecosystem and are reinforced by strong industrial relationships. The DKAI track also features a clear international orientation, with courses delivered in English.
This study course enables students to easily join the industrial world in companies that develop innovative software, in start-ups or in the R&D departments of large companies. It also paves the way to a doctoral programme, preparing students to write a thesis, either by joining a research organisation (public or private) or an R&D department in a company.
This study path targets professions such as Data Analyst, Database administrator, Big Data manager. Big Data, Application Manager, Application Integrator, Data Architect, Big Data Application Designer/Developer, Research and Development Engineer.
Admission to the M2 DKAI program is open to students who have completed the M1 DKAI, the M1 Artificial Intelligence, or an equivalent program outside Paris-Saclay. A minimum English proficiency level of B2 (CEFR) is required.
The DKAI program offers an outstanding international outlook, with opportunities for research or industry internships at renowned academic and industrial institutions, both in France and abroad (e.g., NII Tokyo, NARLabs Taiwan, A*STAR Singapore).
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Data scientist/engineer, designer/developer of the architecture of big data management and analysis, applications manager, applications integrator, data architect, R&D engineer.
Laboratoire de recherche en informatique
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Laboratoire Spécification et Vérification.
The schedule will be posted shortly.
From 06/04/2026 to 15/05/2026
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Copy diplomas.
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Motivation letter.
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All transcripts of the years / semesters validated since the high school diploma at the date of application.
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Curriculum Vitae.
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Selection sheet completed.
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Certificate of English level.
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VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
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Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.