Internet of Things

Master IoT fundamentals and transform business models with advanced skills

Transform your business with the Internet of Things

Gain comprehensive IoT knowledge and skills for business innovation.

The Internet of Things (IoT) module will give you a solid understanding of IoT basics, its applications, and how it impacts business models. You’ll learn about IoT architecture, communication protocols, devices, and data management techniques. 

The course also covers IoT connectivity options, security, and risk management. Additionally, you’ll develop skills in managing IoT projects and analyse real-world case studies to see how IoT can transform business models.

Experience innovative online learning with interactive and engaging teaching methods

Teaching methods include lectures, guest lectures, seminars, case study analysis, and a flipped classroom approach. Both ongoing and final assessments will measure student progress. Ongoing assessments provide feedback to help improve your study pathway. Clear assessment rubrics and criteria will be provided for each topic, showing how you will be assessed against learning objectives. 

Various assessment tools such as exams, assignments, projects, and exercises will directly measure your knowledge, skills, and competencies. The final grade consists of a 50% proctored written exam and a 50% end-of-term project.

Time commitment

Classroom and demonstrations: 24 hours
Practical work/tutorials: 24 hours
Independent learning: 77 hours
Total: 125 hours

Credit points

5 ECTS

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Full course breakdown

Subjects covered:

Internet of Things is a 5 ECTS module that runs for 12 weeks, with three hours of class time each week. Here’s a schedule of the topics we’ll cover each week:

    • IoT Fundamentals for Business
      • Historical development
      • Key concepts
      • Applications across industries
    • IoT Business Models and Strategies
      • Value creation
      • Monetization
      • Competitive advantage
      • Case studies
    • IoT Architecture and Protocols
      • Components
      • Communication protocols
      • Data management
    • IoT Devices and Sensors
      • Functions and applications
      • Types of sensors, including motion sensors
    • IoT Connectivity and Networking
      • Connectivity options
      • Networking technologies
      • Challenges
    • IoT Security and Privacy in Business
      • Security concerns
      • Mitigation strategies
      • Business implications
    • IoT Data Analytics for Business
      • Data processing
      • Storage
      • Analysis techniques
      • Tools and platforms
    • IoT Cloud Computing for Business
      • Cloud-based IoT platforms
      • Services
      • Benefits and challenges
    • IoT Edge Computing for Business
      • Benefits
      • Challenges
      • Use cases
      • Fog computing
    • IoT Project Management for Business
      • Principles
      • Practices
      • Methodologies
      • Risk management
    • IoT Standards and Regulations for Business
      • Industry standards
      • Data protection
      • Compliance
    • IoT Business Model Development Case Studies and Future Trends
      • Case studies
      • Future trends
      • Impact of emerging technologies such as AI and quantum computing
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Module leader

Mike Friedrichsen, German UDS

Mike Friedrichsen is the Founding President and CEO of German UDS, and a Full Professor at Stuttgart Media University, both since 2023, with a distinguished academic career. He holds a Habilitation from FU Berlin (2014), a Doctorate in Social Sciences and Economics from FU Berlin (1999-2024), and dual Magister & Dipl. — Volkswirt degrees in Journalism and Political Science from both FU Berlin (2009-2021) and JGU Mainz (2003-2007). 

He has served in numerous roles, including Founder & Research Director of ditcom GmbH. His recent research projects involve collaborations with major corporations such as Siemens, Mercedes-Benz, Porsche, Bosch and Telekom, focusing on digital competence, AI-based learning environments, and virtual education. For more details, visit his ResearchGate profile.

Become part of the Digital4Business ecosystem

This IoT module is integral to the Digital4Business initiative, an EU-funded online master’s that’s aimed at developing future digital leaders and strategists. Discover how digital transformation fosters business innovation and efficiency, and acquire the skills necessary to excel in the digital age. 

Register your interestDownload Module Brochure

FAQ

Minimum C1 English proficiency, plus 2 years' work or education in an English-speaking environment. IELTS: 6.0; TOEFL PBT: 600; TOEFL CBT: 200; TOEFL iBT: 100

Applicants need a suitable cognate EQF Level 6 qualification (e.g. STEM, economics, etc.). Description of the eight EQF levels Those without such a qualification will undergo an interview and assessment to determine the suitability of their certifications, other qualifications, and/or professional experience.

This EU-funded programme is open to all EU nationals with a passport or valid ID from one of the 27 EU countries