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Aerospace Education Catalogue

Master 2 Data and Artificial Intelligence

  • Organisation: Institut Polytechnique de Paris
    (Institut Polytechnique de Paris)
  • Type of Course: Initial education
  • Language(s): English
  • Place: Palaiseau Campus (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 3

Course Details

Objectives: The DataAI study track is a two-year master’s program at the Institut Polytechnique de Paris to prepare students for a PhD. It is concerned with Artificial Intelligence (AI) and large-scale data management.

The program is taught in English. It teaches students the basics of Machine Learning, Logic, Big Data Systems, and Databases, before diving into applications in advanced machine learning, symbolic AI, swarm intelligence, natural language processing, visual computing, and robotics. Students can choose from a wide variety of courses, including on the mining of large datasets, big data processing systems, reinforcement learning, GPU programming, semantic networks, cognitive modeling, self-organizing multi-agent systems, autonomous navigation for robots, text mining, image understanding, as well as social issues in AI.

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

Acquired skills during the training : Acquire the fundamental knowledge, technical skills and concrete applied methodologies to make machines more intelligent
Gain experience in using and developing data-supported smart services and tools for data-driven decision making, while exploring the technical and scientific challenges of processing large data and knowledge bases
Solve theoretical and applied problems, present their work in oral presentations and written reports, analyze a bibliography and identify open research directions, work independently and in a team, identify and seek appropriate resources for advancing their work

Targeted careers : The combination of big data and artificial intelligence in all of its forms is an active field of research. Students will be prepared for research in Robotics, Image processing, Machine Learning, Web technologies, the Social Web, Data Analytics, Big Data Management, Knowledge Base Management, Information Extraction, Information Retrieval, Databases, Data Warehousing, Knowledge Representation, and Distributed Data Management.

This master is a research master and students are strongly encouraged to a PhD after the master. The Institut Polytechnique de Paris and the associated research labs (Inria, CNRS, etc.) offer a great environment for a PhD, and our program is an optimal preparation for this path.

Partnerships with national organisations: Telecom Paris & Telecom Sud-Paris

Dedicated web site: https://www.ip-paris.fr/education/masters/mention-informatique/master-year-2-data-and-artificial-intelligence

Dedicated web site : https://dataai.telecom-paris.fr/ ()

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence