Our MSc in Industrial Internet of Things (IIoT) is designed for professionals with engineering or IT background seeking to drive innovation in the industrial sector. This program combines a strong foundation in IoT technologies, data science, and artificial intelligence with practical applications to optimize industrial operations. With a focus on real-world problem-solving, you will develop the skills to design, implement, and manage IIoT systems. Our curriculum covers a wide range of subjects, from embedded systems, wireless technologies, and data analytics to cloud computing. This program is designed to equip you for a successful career in the rapidly evolving landscape of Industry 4.0.
Faculty of Sustainable Development and Engineering
Course Overview
Our MSc in Industrial Internet of Things (IIoT) is designed for professionals with engineering or IT background seeking to drive innovation in the industrial sector. This program combines a strong foundation in IoT technologies, data science, and artificial intelligence with practical applications to optimize industrial operations. With a focus on real-world problem-solving, you will develop the skills to design, implement, and manage IIoT systems. Our curriculum covers a wide range of subjects, from embedded systems, wireless technologies, and data analytics to cloud computing. This program is designed to equip you for a successful career in the rapidly evolving landscape of Industry 4.0.
Career Prospects
Graduates of our MSc Industrial IoT program are highly sought after for positions like:
• IoT developer
• Data analyst / Data scientist
• IoT systems administrator
• Data engineer / architect
• IoT architect
• Business Intelligence Analyst
The career prospect for graduates under this programme are not limited only to IT or engineering fields.
Entry
Requirements
- Degree in Engineering (Mechanical, Mechatronics (or related field, e.g., Automation), Telecommunication, Electrical and Electronic)
- Degree in any IT-related field (Computer Science, Software Engineering, Information Systems, etc)
- Any other alternative qualifications acceptable to UdM
Course Structure
Semestre 1
- Industrial Internet of Things
- Embedded Systems
- System Automation
- Networking and cybersecurity
- Robotics Process Automation
Semestre 2
- Sensors-Wireless Technologies
- Control System Engineering
- Data Engineering & Analytics
- Cloud Computing
- Machine Learning
Semestre 3
- Sustainable Digital Infrastructure
- 5G Networks
- Wearable technologies
- Deep learning
Location
Available at Bel Air and Rose-Hill Campuses
Any further inquiries?
Please contact on the following email: appli_emtech@udm.ac.mu