M1 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.
Acquérir les fondements théoriques relatifs à différentes types d'approches issues des sciences des données.
Organized over two years (M1 and M2), the DKAI track of the Master’s in Computer Science at Université Paris-Saclay is a comprehensive and stimulating program, recognized for its unique character. It stands out for the cutting-edge skills it provides and the career opportunities it offers, both in industry and in research in data science and trustworthy artificial intelligence.
The DKAI program is built on an integrated pedagogical approach, combining the acquisition of fundamental knowledge in data science, artificial intelligence, and knowledge engineering with their practical application through supervised projects.
The courses are closely linked to the research conducted within the Paris-Saclay research laboratories and supported by strong industrial institutions. The DKAI program embraces an international outlook, providing courses delivered in English and fostering a multicultural learning environment.
Au terme du Master les métiers visés sont notamment :
. Data engineer
. Data analyst
. Administrateur de bases de données
. Gestionnaire de données massives
. Gestionnaire d’applications
. Intégrateur d’applications
. Architecte de données
. Concepteur/développeur d’applications Big Data
. Ingénieur R&D
To be admitted to the Master 1 in DKAI, candidates must hold a Bachelor’s degree (or equivalent, Bac+3) in computer science, mathematics, engineering or a related field. Strong skills in mathematics (probability, statistics, algebra, logic), programming (Python, Java, C++), databases, and algorithms are essential.
To enroll in the M1 DKAI program, a B2 level (or higher) in English, according to the Common European Framework of Reference for Languages (CEFR), is required.
The DKAI program includes a short research or industry internship starting in M1, offering students a first scientific or professional experience within renowned academic or industrial institutions, in France or abroad.
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Au terme du M1 Data Science, les étudiants peuvent intégrer le Master 2 Data Science
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Laboratoire de recherche en informatique
Laboratoire Spécification et Vérification.
The schedule will be posted shortly.
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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.
(https://www.universite-paris-saclay.fr/sites/default/files/2022-03/choi…)
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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.