Advanced Master® in Expert in AI and Networks of the Future

The Advanced Master’s® program “Expert in AI and Networks of the Future” aims to train specialist executives who are proficient in the tools and methods for deploying and implementing private 5G networks, with the goal of supporting the use of AI in this field within companies and industry, maximizing its impact. The specialists trained will be able to define and lead projects at the intersection of networks and AI, serving the digital transformation of industry.
The deployment of 5G in France is a major industrial project, supported by massive investments and a strict regulatory timetable. The evolution towards Standalone 5G, combined with network slicing, paves the way for critical use cases for the industry of the future, where 5G becomes the technological foundation of Industry 4.0. By combining AI, IoT, cloud, and augmented/virtual reality, it enables the emergence of reconfigurable production lines, autonomous robots, predictive maintenance, and augmented operators. The employment outlook is considerable: various sector studies converge on tens of thousands of jobs to be filled between now and 2027-2030, particularly in infrastructure, engineering, and related services. However, companies are adopting a wait-and-see attitude: their main obstacle is not technical but human, illustrated by a profound shortage of hybrid skills capable of combining telecoms, cloud, cybersecurity, data/AI, and business knowledge.
This Advanced Master® has been created as part of the IMTFor5G+ Innovation Project for Telecom Professions and Training in 5G and Digital Communication and Data Infrastructures France 2030: Skills and Professions of the Future (CMA).

Operation supported by the State as part of the “Skills and Jobs of the Future” call for expressions of interest under the France 2030 Program, operated by Caisse des Dépôts.

Skills

Core technical activities

Design, deploy, and administer private cloud and 5G infrastructures.
Automate and improve the reliability of deployment processes.
Optimize network performance and energy consumption.
Integrate cybersecurity and regulatory constraints into network architectures.

2. Emerging and cross-functional activities

Advise on AI strategy applied to networks.
Manage complex AI + Networks projects.

Perspectives and professions

Smart Network Design Engineer
Cloud/Edge AI Architect
Data Scientist specializing in networks
Infrastructure Digital Transformation Consultant
IoT/Edge AI Project Manager

Admissions

Prerequisites

This Advanced Master’s program is open to students with backgrounds in computer science, networks, and telecommunications who hold one of the following degrees/qualifications:

Engineering degree accredited by the CTI (five years of higher education)
Master’s degree (five years of higher education)
M1-level university degrees (Bac+4) or Master’s degrees (Bac+4) with three years of professional experience
RNCP Level 7 qualification
Foreign degrees equivalent (Bac+5) to the French degrees required above.

All foreign degrees must be officially translated into French or English and certified by ENIC-NARIC.

Procédure d'admissions

The application is reviewed by the academic director and then submitted to an admissions committee, which meets four times between March and June.

Applicants are notified of the committee’s decision by email.

Candidate

Registration for the 2026/2027 Advanced Master’s program will open in March 2026.

Application deadline: May 31, 2026

For more information : masteres.specialises@imt-nord-europe.fr

Calendar

The program lasts 12 months:

September to October: full-time training at school
November to March: alternating between 15 days at school and 15 days at a company
April to August: full-time at a company.

The start date for the 2026 session is scheduled for Wednesday, September 2 (date subject to change).

Program

Design and deploy private cloud and 5G infrastructures

by sizing the network and cloud architecture according to business needs, performance constraints, and scalability.
by configuring network components (5G cores, antennas, slices, VNFs, CNFs) and cloud environments (IaaS, PaaS, edge).
by managing deployed infrastructures using advanced monitoring tools.
by optimizing performance in terms of latency, throughput, QoS, and energy consumption.
by integrating cybersecurity standards and regulatory requirements (NIS2, data protection, sovereignty).

Automate and improve the reliability of network deployments through DevOps practices

by automating deployment workflows using CI/CD tools, network virtualization, and orchestration (e.g., Kubernetes).
by making processes more reliable through observability (logs, metrics, traces) and advanced monitoring mechanisms.
By industrializing architectures through reproducible configurations (Infra as Code, GitOps).
By detecting network and application anomalies using intelligent analysis and monitoring tools.
By improving the operational resilience of critical services deployed on 5G/cloud infrastructures.

Develop an AI & Networks strategy aligned with performance objectives

by assessing the opportunities for automation, optimization, or prediction offered by AI in network infrastructures.
by defining technical and business KPIs to measure the performance of AI projects in an industrial context.
by building an AI integration strategy consistent with the objectives of efficiency, security, and digital sobriety.
by advising management on data governance, model explainability, and compliance requirements.
by anticipating the operational impacts of AI mechanisms on network performance, incident management, and quality of service.

Managing complex AI/network integration projects

by coordinating multidisciplinary teams (networks, data, cloud, cybersecurity, business lines).
by conducting digital innovation pilot projects (PoCs) and analyzing their technical, financial, and operational impact.
by managing the technical, regulatory (ANSSI, ARCEP), ethical, and organizational risks of AI projects applied to networks.
by planning the deployment, validation, and ramp-up phases of AI/network solutions.
by communicating results and recommendations to technical and strategic departments.

Secure, monitor, and continuously improve AI/network infrastructure

by integrating cybersecurity requirements into the design of 5G/cloud architectures (security by design).
by monitoring infrastructure using advanced and/or AI-based observability tools (anomaly detection, failure prediction).
by ensuring regulatory compliance (NIS2, GDPR, industry standards).
by continuously improving network and AI performance through tuning and continuous optimization mechanisms.
by documenting all architectures, procedures, incidents, and feedback to ensure the system’s sustainability.

Head teacher

Laurent CLAVIER

Further information

Tarifs

Application fee: €60 non-refundable.

Tuition fees:

€7,500 for recent graduates continuing their studies, job seekers, or individuals financing their own studies;

€12,500 for companies

Payable in three installments over the academic year, with the first installment paid at the time of registration and refundable in the event of visa refusal. Payments can be made by bank transfer or check.

Lieu de la formation

Rue Guglielmo Marconi, 59650 Villeneuve-d’Ascq

Contact

masteres.specialises@imt-nord-europe.fr

+33 3 27 71 20 30

"*" indicates required fields