The industrial sector is constantly evolving, with ongoing technological and digital innovations radically transforming the way companies operate. In the era of Industry 4.0, IMT Nord Europe trains expert engineers in Lean Digital to optimize process improvement using new technologies.

Through this Master’s program, IMT Nord Europe trains its students in the organization, management and automation of production systems. They will be equipped with a multi-disciplinary scientific culture applied to production engineering, knowledge of automation, servo-control and, more generally, of the various aspects linked to computer-integrated production, based on:

Management and quality tools;

Process automation and digitization;

Continuous improvement and industrial performance.

This program is unique in that it includes a semester (S2 of the Master 1 year) entirely dedicated to management, at the partner Institut Mines Telecom Business School. The aim is to give students the cultural and technical keys to take on management roles in an industrial or logistics environment, with a strong knowledge and technical skills base in the field.

SKILLS

• Industrial Design
• Project Management
• Supply Chain Management
• Data Analysis
• Industry 4.0 Technology

PERSPECTIVES AND PROFESSIONS

• Industrial design manager
• Supply chain analyst
• Automation engineer
• IoT Specialist
• Robotics and Automation Project Manager

PROGRAM

The course lasts 2 years and is structured as follows:

• Year 1 – Semester 1: courses at IMT Nord Europe, Douai campus
• Year 1 – Semester 2: teaching at IMT-BS, Evry-Courcouronnes campus
• Year 2 – Semester 1: Teaching at IMT Nord Europe, Douai campus
• Year 2 – Semester 2: End-of-study project, 6-month internship in a company or research laboratory

Production Management

Industrial Process Automation

Logistics and Intelligent Transportation Systems

Softwares and Architectures for Mobile Robotics

French

Institut Mines-Télécom Business School

Research Project

Automative Systems and Artificial Intelligence

Advanced Automatics

Machine Learning and Advanced Data Analysis

Master Thesis