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MSc CGE Data Management

Illustrative image of the AI & Data specialization of the ECE Master of Science program
  • Understand the issues and challenges of data management in various contexts.

  • Master data management tools and techniques: databases, data engineering, and cloud computing.

  • Design and deploy advanced artificial intelligence models.

  • Analyze massive amounts of data to extract strategic insights.

  • Communicate the results of data analyses to technical and non-technical stakeholders.

  • To meet the needs of companies seeking to implement an operational data management strategy.

    Content

    The courses presented below are given as examples. They may vary slightly according to market developments. The content is updated each year before the start of the academic year.

    60 ECTS credits/year

    IT Transformation

    • Digital transformation and economic models (3 ECTS)
    • Digital ecosystem and regulation (2 ECTS)
    • Information systems design (3 ECTS)

    Digital Innovation

    • Exploration of disruptive technologies (3 ECTS)
    • DevOps practices and continuous integration (3 ECTS)
    • Information systems architecture and performance (3 ECTS)
    • Internet of Things and connected systems (3 ECTS)
    • Blockchain and Crypto Economy (2 ECTS)

    IT Project Management and Innovation

    • Fundamentals of Project Management (3 ECTS)
    • Data Science Project Management with Python (3 ECTS)

    Smart Data

    • Introduction to Data Analysis (4 ECTS)
    • Databases and Data Quality (4 ECTS)
    • Introduction to Deep Learning (4 ECTS)

    Managerial Innovation for Leadership

    • Digital Innovation and Entrepreneurship (3 ECTS)
    • Management of Multicultural and Distributed Teams (3 ECTS)
    • Strategic Communication (3 ECTS)

    Contemporary Issues and Transformations of Tomorrow’s World

    • Green IT and Responsible Digital Technology (4 ECTS)
    • Ethical Issues and Societal Impacts of Emerging Technologies (3 ECTS)

    Foreign Language

    • French Language Course (FLE) (4 ECTS)

    4-month internship (optional)

    90 ECTS credits/year

    Data Science Fundamentals

    • Mathematics for data science (2 ECTS)
    • Advanced machine learning (3 ECTS)
    • Deep learning (3 ECTS)
    • Data analysis pipeline (3 ECTS)

    Data Engineering

    • Big Data infrastructures (3 ECTS)
    • Secure data architectures (3 ECTS)
    • Generative AI for Data Engineering (3 ECTS)
    • Cloud Computing Platforms (3 ECTS)

    Contemporary Issues and Transformations of the World of Tomorrow

    • Ethics of Digital Technologies (1 ECTS)
    • Geopolitics of Data and Digital Sovereignty (2 ECTS)
    • Emerging Data Architectures and Quantum Data Management (2 ECTS)

    Model Deployment and Production

    • Deployment of Machine Learning Models (5 ECTS)
    • Mastery of the Data Lifecycle (5 ECTS)
    • MLOps Platforms (4 ECTS)

    Managerial Innovation in Service of Leadership

    • Intercultural Leadership and AI Team Management (3 ECTS)
    • Communication and Innovation Management (3 ECTS)
    • Job Interview Simulation (1 ECTS)

    Data Project Management and Innovation

    • Applied Agile Management and Risk Management (4 ECTS)
    • Project Management Certification – CAPM by PMI (2 ECTS)
    • Study Thesis Methodology (1 ECTS))

    Foreign Language

    • French FLE Course (4 ECTS)

    Study Thesis (20 ECTS)

    6-Month Internship (10 ECTS)

    Evaluation Methods

    • Data and AI projects applied to real business problems.
    • Case studies and analysis of complex datasets.
    • The preparation and acquisition of the CAPM certification by PMI.
    • A long 6-month internship in a company with a mission report.
    • A study thesis defended before a jury.
    • Optional 4-month internship during the first year.

    • A mandatory 6-month internship in the second year, culminating in a thesis.

    • Projects related to the ECE's LyRIDS research center, which specializes in applied AI

    • Meetings with data and AI professionals through conferences and company visits.

      • Portrait photo of Zainab Berrada

        As an international student, I quickly felt like I belonged at ECE thanks to my interactions with other students and campus life. The ECE Career Forum is a real opportunity: it helped me land my end-of-studies internship, which later turned into a full-time job. For me, the ECE is a real springboard into the professional world.

        Zainab BerradaAssociate Data IA
        Your engineering school in Paris (1/1)

        Our campuses

        Paris Campus

        • Photo of Your engineering school in Paris

          Your engineering school in Paris

          Discover our engineering school in Paris: a campus in the heart of the capital, training in AI and Data for a unique student life.

        What are the tuition fees for the MSc CGE Data Management?

        Scholarships: How can I finance my studies with the help of the State?

        Scholarships: How to finance my studies with state aid?

        Discover MSc CGE events

        Event type

        Event type
        • 07/10

          Soirée Portes Ouvertes – ECE – Marseille – mercredi 7 octobre 2026

          • Your engineering school in Marseille
          • From 18h00 to 0h00
        • 19/10

          Immersion in Marseille

          • Your engineering school in Marseille
          • From 10h00 to 17h00
        • 28/11

          Matinée Portes Ouvertes – ECE – Marseille – samedi 28 novembre 2026

          • Your engineering school in Marseille
          • From 10h00 to 0h00
        • 16/12

          Soirée Portes Ouvertes – ECE – Marseille – mercredi 16 décembre 2026

          • Your engineering school in Marseille
          • From 18h00 to 0h00

        Specializations

        Specializations

        Campus

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