M2 Advanced Manufacturing and Smart Systems

Apply for the degree
  • Places available
  • Language(s) of instruction

The Advanced Manufacturing and Smart Systems Master program is part of a training for researchers specialized in the field of complex systems engineering. It meets a real today industrial need in terms of engineering and research, combining major themes of the industry of the future, in particular the optimization of the manufacturing processes, and of the automatic control of critical systems.
The objectives of this Master program are twofold:

  • To acquire the disciplinary theoretical and practical scientific knowledge necessary for the future researchers and research engineers in mechanical engineering and / or in automation.
  • To acquire the transversal skills allowing to participate in a research and innovation project (analysis of articles and patents, development of IT prototypes, oral communication, report writing, etc.)

In order to personalize their training in line with their professional project, students can choose optional specialization courses focusing on two main topics: the optimization of manufacturing processes or the dependable control of intelligent systems.

Course Prerequisites

Potential applicants may come from different areas in the field of engineering (mechanical / electrical / computer engineering). The training requires solid skills in cross-cutting disciplines such as applied mathematics, multi-physical modeling of mechanical systems and manufacturing processes, modeling and control of linear systems and discrete event systems.

  • Present and execute a scientific approach to solve a new problem.

  • Model a multi-physics system and identify the characteristic parameters.

  • Identify and pose an optimisation problem, and an appropriate method for resolving it.

  • Analyse scientific publications or patents, conduct and present an overview report.

  • Design an algorithm and develop an appropriate software prototype for it in a computer language.

  • Produce a scientific report.

Post-graduate profile
  • Scientific knowledge base required to master the models used to formalise interactions within a complex system, and to optimise systems via virtual environments and experimental confrontations.
  • Ability to develop software prototypes (Python, Matlab).
  • Communication skills both orally and in writing.
Career prospects

With regard to job opportunities, this programme targets both industrial (R&D engineer for large companies) and academic (researcher and assistant professor) careers. After completing the Master's degree, graduates will be able to find jobs in R&D or conudct research as part of doctoral theses geared towards industry (CIFRE contracts) or of a more academic nature in laboratories. The main industrial fields of application are: the aeronautics, space and defence industries, land transport (rail, automotive), energy (nuclear, distribution networks, etc.), the oil and chemical industry.


Laboratoire Universitaire de Recherche en Production Automatisée
Laboratoire Génie Industriel
Laboratoire des Signaux et Systèmes.


La formation du premier semestre s'appuie sur un tronc commun dont l'objectif est d'acquérir des compétences disciplinaires (modélisation, optimisation) d'une part et des compétences transversales d'autre part (anglais scientifique, méthodologie de la recherche, langages de programmation). La deuxième partie est composée d'UE disciplinaires selon le sous parcours choisi.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Techniques et outils pour la preuve de concepts 4 12 6 12
Modélisation des systèmes multi physiques 4 16 4 8
Méthodologie de la recherche 2 12 8
Exploration de données et optimisation 3 12 18
Anglais scientifique 2 10 10
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Relability and Risk 3
Modélisation comportementale des Systèmes à Evénements Discrets 3 20 10
Méthodes et outils pour l'élimination des fautes 3 16 14
Méthodes et outils pour la prévention et la tolérance aux fautes 3 20 10
Ingénierie Système 3 15 15
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Modelling and control of robotic systems 3 12 12 4
Modélisation géométrique des assemblages et systèmes 3 14 14
Computer Aided Manufacturing 3 14 14
Advanced Manufacturing 3 12 4 12
3D digitizing and geometric processing 3 13 5 10

Le deuxième semestre est composée d'un stage de recherche en laboratoire ou dans le service de R&D d'une entreprise.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Stage de recherche 30
Modalités de candidatures
Application period
From 01/02/2021 to 31/07/2021
Compulsory supporting documents
  • Curriculum Vitae.

  • Motivation letter.

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

  • Letter of recommendation or internship evaluation.

Additional supporting documents
  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

  • Certificate of English level (compulsory for non-English speakers).

    (B2 level required as a minimum)
Course manager(s)
Administrative office