MSc Industrial Engineering
Smart and Connected Enterprise (I-ENG SCE)

The aim of this specialism in Industrial Engineering is to introduce the new paradigms of company management based on new information environments and systems, including cyber-physical systems. At the conclusion of the programme, students should be able to model an enterprise, to simulate and optimize its performance, to model and develop solutions for inter-operability between information systems, based on ontologies and multi-view models at different scales (shop floor, factory, company, extended enterprise). New technologies like IoT, smart and agile organizations, etc., and interaction technologies, like virtual and augmented reality, will be integrated in the courses. The place of humans in new smart organizations will also be considered.

The programme of study lasts two academic years - denoted by M1 and M2 and is taught in English. It comprises three study semesters followed by a paid Master's thesis / internship in the final semester.

Our Master's programmes in Industrial Engineering are fully accredited by the French Ministry of Higher Education and Research.

► See our other Master's programmes in Industrial Engineering

Contribution to sustainable development goals

30 ECTS Credits per semester.
Language of instruction: English
 

M1 Year - 2024/25

Autumn Semester Course	ECTS	Spring Semester Course	ECTS
Basics of Computer Science and Mathematics	4	Operations Research	4
Discrete-event Simulation	4	Innovation Engineering	4
Financial and Economic Aspects for Industrial Engineering	4	Introduction to Research	4
Enterprise Modelling	4	Enterprise 4.0 Processes	4
Statistics and Data Analysis	4	Project Management	4
Introduction to Optimization Methods	4	Introductions to Information Systems	4
Production Management	4	Strategic management of Sustainable enterprise	4
Modern Languages *	2	Modern Languages *	2

* 'French as a Foreign language' except for French native speakers who will study 'Cultural and Communicational English' or Spanish (depending on sufficient demand).

NB Course content may be subject to minor changes

M2 Year - 2024/25

Autumn semester course	ECTS
Multi-criteria decision making and decision support	4
Integrated design and implementation of CPPS	4
Artificial Intelligence for decision-making in industrial engineering	4
Knowledge-based systems	5
Advanced IS within PLM approach	4
Model-based system engineering for product service systems	4
Project	3
Modern languages *	2

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English' or Spanish (depending on sufficient demand).
NB Course content may be subject to minor changes

Spring Semester	ECTS
Master thesis / internship	30

 

Master Thesis / Internship

Examples of previous internships:

• PLM / Knowledge based engineering - BMW Group (China), Safran (France)
• Decision-Aid for industry excellence – Airbus Helicopters (France), Faurecia (France)
• Systems Engineering – Altran (France), Dassault Systèmes (France), BFL (India)
• Digitalisation of processes – Bouyges Construction (France), Amazon (France), Sanita (Lebanon)
• Data Scientist – Airbus (France), Alsom (France)

Examples of previous internships in research labs:

• Development of mass customized products within PLM software 3DEXPERIENCE, LS2N, Nantes
• Ramp-up Management in Industry 4.0, Institut Henri FAYOL, Saint Etienne, France
• Knowledge engineering for decision aid to optimize product Lifecycle analysis studies and predict carbon footprint, LS2N, Nantes

 
NB Internships undertaken in France are strictly regulated and are only open to current full-time students of an accredited educational institution. Interns are entitled to all the rights guaranteed to regular employees (such as social protection and redress mechanisms). For internships that exceed two months in duration a minimum level of remuneration is set by the government, at approximately €600 per month. In some professional branches, this amount may be higher.

Skills developed

• Master entreprise modelling methods
• Master simulation and optimsation methods for entreprise performance assessment
• Master inter-operability of the information systems of smart and connected enterprises

 

In addition to the above specialism-specific skills, students will also develop more general skills:

• Identify models, perform simulation and analyse results
• Communicate comprehensive results in a meaningful way
• Undertake bibliographic surveys of international research and professional literature
• Manage or be part of a project

Download syllabus | Industrial Engineering - Smart and Connected Enterprise

• Year M1
• Year M2

Faculty and Research Facilities

Focus on unique resources

Smart Factory Platform

"This smart platform offers everything that we could expect from a production system: it is modular, reconfigurable, agile and flexible. It demonstrates the modern concepts of the industry of the future, integrating diversity management, total production traceability and detailed quality monitoring". - Professor Alain Bernard

► Learn more

Flexible assembly lines

This experimental platform located on the IUT campus in Carquefou comprises two separate assembly lines and is part of a production unit for research and teaching purposes that includes a Cartesian robot rack and opto-guided conveyors for loading/unloading workstations.

► Learn more (in French)
 

Pursue your studies

• PhD opportunities at Centrale Nantes - the programme is supported by the Laboratory of Digital Sciences of Nantes - UMR CNRS 6597; ED SIS)
• PhD studies possible anywhere in Europe (international recognition of the master's degree)

Examples of job opportunities:

• Consultant in information systems and PLM (Product Lifecycle Management)
• Consultant in manufacturing digitalisation
• Expert on knowledge management and engineering
• Data analyst in manufacturing
• System architect

Companies that hired our recent graduates:

• Amazon
• Capgemini
• Michelin
• Accenture
• Dassault Systems

Where are they now?