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Space Education Catalogue

Master Optique, Image, Vision, Multimédia parcours Intelligence artificielle, sciences des données et systèmes cyber-physiques (IA2S)

• Organisation : UPEC - Faculté des Sciences et Technologies
  (UPEC - Université Paris-Est Créteil Val de Marne (ex Paris 12))
• Way of training : Initial education - Life-long learning
• Language(s): French
• Place: Campus de Vitry (French Regions: Ile-de-France)
• Prepared diploma/grade/title: Master or DNM: French National Master Degree
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : The “Artificial Intelligence, Data Science and Cyber-Physical Systems” (IA2S) course aims to train high-level specialists through research in the field of design, modeling and control of cyber systems. physical. These systems call on a large number of scientific and technological disciplines (computer science, system control/command, robotics, sensor networks, etc.). This training, at the intersection of the “engineering sciences” and “information and communication sciences and technologies” sectors, aims to give students a solid foundation both fundamental and technological, and offers numerous opportunities in terms of employment or pursuit of doctoral studies.

Degree Level (EU) : 7 - (EQC level or equivalent)

Targeted careers : - Researcher or teacher-researcher (universities, public or private schools) after pursuing studies in a doctoral thesis
- R&D project manager specialized in systems engineering, capable of implementing, managing and completing innovative cyber-physical systems design and development projects
- Research engineer or research manager in a large research organization (CNRS, INRIA, CEA, etc.)
- Business creator within the framework of incubators and innovative business nurseries

Dedicated web site : https://sciences-tech.u-pec.fr/formation/master-optique-image-vision-multimedia-parcours-intelligence-artificielle-sciences-des-donnees-et-systemes-cyber-physiques-ia2s

Disciplines

• Engineering Sciences

Topics

• 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
• 17 - Project Management, Production, Industrialization, Factory of the Future, Integration, Supply Chain, Maintenance, Recycling