MSc Industrial Internet of Things - Universite des Mascareignes

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.

MSc Industrial Internet of Things

Faculty of Sustainable Development and Engineering

MSc Industrial Internet of Things

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.

Teaching Methods

Teaching and learning take place through lectures, tutorials, study of projects, laboratory work, individual and group work, and workshops. Candidates are expected to spend a considerable amount of time on private independent study. Courses will be delivered in English.

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

Mode & Fees

FULL-TIME FEES (Semesters 1-3):
Offered on scholarships by the HRDC

How
to Apply

Poster

Info to Candidates

Application Form

Email Application to applocal@udm.ac.mu

Location

Available at Bel Air and Rose-Hill Campuses

Any further inquiries?

Please contact on the following email: appli_emtech@udm.ac.mu