Master's in Industrial Technologies for the Factory of the Future
A future-focused graduate program preparing engineers to design, integrate and manage intelligent industrial systems.
The Industrial Technologies for the Factory of the Future program addresses the digital transformation challenges faced by modern industrial sectors.
Students develop expertise in the management of industrial technical infrastructures while learning to integrate technologies such as automation, robotics, artificial intelligence, industrial networks, smart sensors and the Internet of Things.
The program also addresses data acquisition and consolidation, industrial system modeling, intelligent and optimal control, and the management of major engineering projects.
This multidisciplinary approach prepares students to contribute to the modernization of industry in Morocco, Africa and internationally.
Key Learning Areas
The program combines industrial engineering, digital technologies, intelligent systems and professional project management.
Systems Engineering
Understand complex industrial systems and develop structured approaches for their modeling, analysis and integration.
Digital Factory
Explore the digital transformation of industrial processes, production systems and future manufacturing environments.
Automation and Robotics
Design and control automated industrial systems using robotics, advanced regulation and intelligent control methods.
Industrial IoT
Connect machines, smart sensors and industrial networks to collect and exchange real-time production data.
Artificial Intelligence
Apply artificial intelligence, data engineering and cloud computing to industrial monitoring and decision-making.
Embedded Systems
Develop real-time computing and embedded solutions for intelligent machines and connected industrial equipment.
Industrial Vision
Discover industrial computer vision and virtual reality applications for inspection, simulation and advanced manufacturing.
Industrial Management
Develop skills in HQSE, innovation, business intelligence, entrepreneurship and engineering project management.
Curriculum Structure
Click a semester to explore its modules and academic focus.
S1 First Year — Semester 1 Engineering foundations, modeling and data analysis
- M111Systems Engineering and Complexity
- M112Industrial Processes and Modeling
- M113Operational Research, Optimization and Multicriteria Analysis
- M114Statistical Methods and Data Analysis
- M115Advanced Algorithmics and Object-Oriented Programming
- M116Foreign Languages: French and English
- M117Personal Skills
S2 First Year — Semester 2 Digital manufacturing, automation and industrial networks
- M121Digital Factory
- M122Industrial Regulation and Advanced Control
- M123Industrial Networks and Internet of Things
- M124Industrial Automation and Robotics
- M125Industrial Management and HQSE
- M126Foreign Languages: French and English
- M127Digital Culture
S3 Second Year — Semester 3 Intelligent systems, AI and advanced industrial integration
- M231Industrial Systems Integration and Control
- M232Real-Time Computing and Embedded Systems
- M233Artificial Intelligence, Data Engineering and Cloud Computing
- M234Industrial Vision and Virtual Reality
- M235Research, Innovation, Business Intelligence and Project Management
- M236Foreign Languages: French and English
- M237Cultural and Artistic Skills
S4 Second Year — Semester 4 Professional preparation and final engineering project
- M241Professional Skills
- PFEFinal Project, equivalent to six disciplinary modules
Projects and Practical Training
Students connect engineering theory with industrial applications through modeling, programming, system integration and multidisciplinary projects.
Industrial System Modeling
Students analyze production processes, construct system models and use optimization methods to improve industrial performance.
Automation and Integration
Practical activities address industrial control, robotics, embedded systems, connected equipment and industrial network integration.
Data-Driven Industry
Students apply data analysis, artificial intelligence, industrial vision and cloud technologies to intelligent manufacturing problems.
Final Engineering Project
The fourth semester culminates in a major final project equivalent to six disciplinary modules, allowing students to address an advanced industrial or technological challenge.
Career Pathways
Graduates develop multidisciplinary skills suited to industrial transformation, intelligent manufacturing and advanced engineering.
Admissions and Application
Prepare your application and verify the conditions published for the current academic intake.
Review the current admission call
Confirm the academic prerequisites, application deadline, teaching location and degree information for the current intake.
Prepare the required documents
Prepare all academic records and supporting documents requested by the official application platform.
Submit your online application
Complete the application form and upload the requested documents before the published deadline.
Complete the selection process
Shortlisted candidates may be invited to complete additional academic evaluation or an admission interview.
Ready to shape the factory of the future?
Start your application or contact CPSE for guidance about eligibility, admissions, tuition fees and scholarships.