Network and Digital Information Systems - Master's Year 1

Program Objectives

The Master's program in Network and Digital Information Systems offers a set of courses designed to provide students with fundamental knowledge and analytical tools to better understand key concepts in management (finance, human resource management, project management, marketing, logistics), information systems (modeling, governance, security, auditing), and innovation (both in digital technologies and media, as well as in its economic and regulatory dimensions), all within a constantly evolving environment.

Regardless of the second-year track, the program is built on mastering a core set of fundamental skills related to digital data management, the foundation of artificial intelligence models. The first year of the Master’s program provides a body of courses focused on digital data and artificial intelligence, serving as the basis for specialization in the various second-year tracks.
 

Program objectives:

  • Master organizational architectures, technologies, and technical architecture principles
  • Manage and finance digital and technological projects, from design to implementation
  • Support companies in adapting and organizing around innovation processes
  • Understand the economic, organizational, and legal constraints of digital projects
  • Apply an approach based on artificial intelligence technologies to information systems, and critically assess the potential and limitations of AI and algorithms within organizations
  • Master the conceptual and methodological framework of IT auditing, particularly in auditing the IT function, applications, and projects
  • Understand audience expectations and provide program recommendations
  • Develop content suitable for audiovisual broadcasters and digital platforms, and monetize audiences through mastery of the advertising value chain
  • Oversee digital transformation projects at local, departmental, regional, and national levels, and contribute to their implementation
  • Analyze and assess the economic, social, and behavioral impacts of AI and digital technologies
Types of education
Initial training
Work-based training
Language(s)
French
ECTS Credits
60 credits
Internship
Optional Internship
No work-based training
Capacity
85
Type of Diploma
Diploma from a major institution conferring the Master's degree
Academic Year
2025/2026


The challenges of the ecological and social transition in the Master's degree programs

Several courses and tools are offered to students in the Master’s program, regardless of their specialization


Contacts

  • Éric BROUSSEAU

    University Professor

    Director of the 1st year of the Master's degree

  • HENRI ISAAC

    Associate Professor

    Director of the 1st year of the Master's degree

  • Sophie GUYOMARD

    Teaching assistant

     Send an email