Gifas Issat.com
Aerospace Education Catalogue

Master 2 Big Data Management and Analytics (BDMA)

  • Organisations :
  • Type of Course: Initial education
  • Language(s): English
  • Place: Gif sur Yvette (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 4
  • This training is included in RNCP / RS

Course Details

Objectives: Nowadays, data drives the world. Public and private organisations in all sectors face an avalanche of digital data. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is of great value only after it has been refined and analysed, in order to produce information and knowledge that can be used for decision making in a particular domain of interest. Usage is no longer restricted to simple querying or data mining, it increasingly requires exploration, recommendation, explanation, and visualisation, along with special treatment of time and location.

This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation.

This specialization is underpinned by the Erasmus Mundus BDMA (Big Data Management and Analytics) Master’s program.

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

Acquired skills during the training :
The students acquire fundamental knowledge related to models, algorithms, and technologies for decision-support systems.

The students acquire fundamental knowledge in data management and data analytics that any data specialist must have.

The students develop fundamental technical competences as well as skills in research, ethics and entrepreneurship.

Dedicated web site: https://www.universite-paris-saclay.fr/en/education/master/computer-science/m2-big-data-management-and-analytics-bdma#presentation

Disciplines

  • Engineering Sciences

Topics

  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
  • 20 - Health and Society: Health, Space Medicine, Biomedical, Biological Engineering, Risks, Defence, Security, Tourism, Policy