M2 Data management in large-scale distributed systems

  • Places available
    40
  • Language(s) of instruction
    French
  • Enrolment type
    Formation initiale
  • Type of teaching
    En présentiel
  • Start of programme (indicative date)
Présentation
Objectives

The DataScale program aims to provide students with dual expertise in:

  • Data engineering: design, administration, security, and optimization of multi-scale architectures (data centers, connected devices).
  • Data analysis: integration and quality management of heterogeneous data, data mining, machine learning, and AI.

The program opens the way to a wide range of career opportunities (data scientist, data engineer, machine learning engineer, or AI analyst). Graduates may pursue doctoral studies in research laboratories or join service companies, startups, large corporations, or research structures.

  • Data engineer
  • IA analyst
  • Data analyst
  • Data scientist
  • Chief Data Officer
  • Database Administrator (DBA)
  • Data Security Administrator (DSA)
  • Information System Architect
  • Architect / Designer / developer of Big Data, Web and IoT applications
Skills
  • Deploy, use and manage a large-scale data management infrastructure.

  • Overall organisation

    The DataScale program aims to provide students with dual expertise in:

    • Data engineering: design, administration, security, and optimization of multi-scale architectures (data centers, connected devices).
    • Data analysis: integration and quality management of heterogeneous data, data mining, machine learning, and AI.

    The program opens the way to a wide range of career opportunities (data scientist, data engineer, machine learning engineer, or AI analyst). Graduates may pursue doctoral studies in research laboratories or join service companies, startups, large corporations, or research structures.

    Career prospects

    The programme leads students towards management and senior management careers in IT in industry and services, and research-based careers and R&D posts in data management at universities, in private and public research organizations, large companies or start-ups. After obtaining the Master's degree, graduates may continue their studies and apply for a doctoral programme.

    Students will be particularly equipped to take up jobs in: database administration (DBA), information systems security administration (DSA), data analysis (data scientists), urbanisation of information systems, design and deployment of empirical knowledge and distributed cations, etc.

    Course Prerequisites

    The DataScale program is offered exclusively as an initial training course. Prerequisites correspond to a Master’s level in computer science, with a solid background in database management. The typical profiles of students joining DataScale program are: students who have obtained a Master's degree in IT in France, students from partner engineering schools in their last year enrolled in a dual program, students holding an engineering or computer science  Master's degree obtained outside France.

    Internships and supervised projects

    5 to 6 months internship.
    Tutored annual project.

    Transfer paths

    Etudiants ayant obtenu un master 1 informatique en France, étudiants d'écoles d'ingénieurs partenaires effectuant leur dernière année en double cursus, étudiants ayant déjà obtenu un diplôme d'ingénieur ou de master informatique à l'étranger.

    Post-graduate profile

    At the end of the programme, students will show proficiency in the three main skills directly linked to the three pillars of the training, namely:
    -Deploy, use and manage a large-scale data management infrastructure
    -Extract, analyse and exploit the information and knowledge stored in a large-scale data management infrastructure
    -Develop and deploy service-oriented data management applications
    Students must also be able to produce and present an overview report and carry out a scientific approach in response to a given subject.

    These skills are acquired through core common curriculum teaching units and optional units that give students targeted academic knowledge supplemented by the empirical knowledge acquired in carrying out projects; through seminars that introduce students to the topics and practices relating to the worlds of research, industry and services; and finally, through an internship of long duration, to apply acquired knowledge to the reality on the field.

    Location
    VERSAILLES
    Collaboration(s)
    Laboratories

    Inria Saclay-Île-de-France.

    Données et Algorythmes pour une Ville Intelligente et Durable
    Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux.

    Programme

    The schedule will be posted shortly.

    Modalités de candidatures
    Application period
    From 16/02/2026 to 10/07/2026
    Admission criteria
    Dossier
    Compulsory supporting documents
    • Copy diplomas.

    • Motivation letter.

    • All transcripts of the years / semesters validated since the high school diploma at the date of application.

    • Certificate of French (compulsory for non-French speakers).

    • Curriculum Vitae.

    Additional supporting documents
    • 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.

    Contact(s)
    Course manager(s)
    Zoubida Kedad-Cointot - zoubida.kedad@uvsq.fr
    Mustapha LEBBAH - mustapha.lebbah@uvsq.fr
    Administrative office
    Clémence Perez - clemence.perez@uvsq.fr