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Aerospace Education Catalogue

Master 2 Machine Learning, Communications and Security

  • 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
  • This training is included in RNCP / RS

Course Details

Objectives: The second year of the Machine Learning, Communications, and Security Master’s program (MICAS) is devoted to information sciences and explores solutions to efficiently process, transmit, store, and protect information. This cross-disciplinary program starts with foundational courses in information processing, building around three main areas: machine learning, communications theory and technologies; and security.

This research-oriented program provides students with strong academic training in data processing and an in-depth knowledge of communication technologies, machine learning algorithms and information security methods. The first semester encompasses courses taught by faculty members from three Institut Polytechnique de Paris laboratories. During the second semester, students will complete an internship for a minimum four-month period.

This second-year Master’s program offers mathematically-minded students a strong background in the fundamentals of information processing and related technologies, preparing them to pursue a career in academia or industry.

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

Acquired skills during the training : - Provide students with a mathematical and practical background in information processing concepts and tools with state-of-the-art applications related to learning, communications and security
- Enable students to identify complex problems in these fields, understand their interactions, and demonstrate solutions through performance and limitation assessments
- Prepare students to pursue careers in a wide array of domains in industry or academia

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

Dedicated web site: https://www.ip-paris.fr/education/masters/mention-electronique-energie-electrique-et-automatique-e3a/master-year-2-machine-learning-communications-and-security

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

  • 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.
  • 12 - Information and Communications Technologies: Telecommunications, Modulation/Coding, Software Defined Radio (SDR), Multimedia, Networks and Protocols, Internet, IoT/Connected Objects, Cybersecurity, Blockchain, Information Systems, Teleservices,....
  • 20 - Health and Society: Health, Aerospace Medicine, Biomedical, Life Sciences, Biological Engineering, Political Sciences, Ethics, Defense, Culture, Tourism...