About the Programme

The Master program takes place in Paris, Avignon, Mulhouse (France), and Barcelona (Spain), Kiev (Ukraine), Cluj-Napoca (Romania) and Ulm (Germany), with some courses on-site, some courses offered in full remote modalities by partners, and some courses in hybrid mode (onsite for one, two or three sites, and remote for others).

Study programme

The Master program covers:

  • Advanced artificial intelligence technologies applied to networked systems and robotics;
  • Advanced technologies related to the design IoT computing systems, protocols and applications;
  • Novel network architectures emerging with network virtualization (NFV), edge computing (MEC) and softwarization (SDN, SD-x);
  • Modeling and performance evaluation of networks and computing systems, including 5G and beyond 5G systems;
  • Integration of artificial intelligence and novel decision-making frameworks for the operations and automation of communication networks and IoT Systems.

The Program’s faculty body includes world-class academics and industry experts. They participate actively in various areas such as: international, European and national colla-borative projects, industrial research projects (H2020, ANR), standardization and open-source bodies (ONF, IETF, ETSI) etc. Lecturers are also active researchers and engineers, who contribute significantly with standards, open source pro-jects, scientific articles and publications to the contents of the Master program.

Objectives and Skills Learned

The Master program is meant for students willing to become expert of digital infrastructure technologies, going from network and Internet/cloud infrastructures to edge computing and IoT systems and applications.

Students attending the Computer Networks and IoT Systems Master program will learn and experiment current and novel technologies underpinning the Internet infrastructure, related to Network Virtualization, Internet-of-Things (IoT) protocols and architectures, IoT device design, Artificial Intelligence and Machine Learning integration in network and embedded systems, Software-Defined-Networking, Cloud Networking, 5G and beyond-5G architectures – a set of novel technologies driving the digital society evolution.



Source: European Digital Skills & Jobs Platform


Competence Area

Information and data literacy


  • Advanced technologies (AI, blockchain, IoT, big data etc.)
  • Information systems
  • Digital transformation principles

Digital technology / specialisation

  • Artificial Intelligence
  • Internet of Things
  • Robotics
  • Machine Learning
  • Cloud Computing

Digital skill level

  • Intermediate
  • Advanced

Geographic Scope - Country

  • European Union

Type of initiative

International initiative

Target audience

  • Digital skills for the labour force.
  • Digital skills for ICT professionals and other digital experts.
  • Digital skills in education.
  • Digital skills for all

Target language

  • English

Target group

  • High Achievers

Typology of training opportunities

Educational programme

Training duration

Multiple years

Credential offered

Qualification award