Computer Engineering for IoT Systems

Overview

This English‑taught master's programme sits at the intersection of hardware and software, preparing students to design and build networks of connected devices that gather, process and share data. Graduates learn to develop IoT systems that support automated decision‑making across application areas such as smart homes, industrial automation and healthcare.

What you will learn

The curriculum blends core computer engineering principles with specialised IoT topics so students can address practical challenges like building efficient, scalable and secure solutions. Emphasis is placed on integrating sensors and devices with software and networking components to create end‑to‑end systems, and on developing the system‑level thinking needed for interdisciplinary projects and real‑world deployments.

Why this is relevant for international students

Studying an IoT‑focused programme within the electrical engineering field gives you a versatile skill set sought after by employers in many sectors that are digitising and automating operations. The English instruction makes the programme accessible to international applicants; check the university’s website for details on internships, industry collaborations and career support that can help you transition into the workforce.

Requirements (brief)

• Language of instruction: English (programme described as English‑taught)
• Academic field: Electrical Engineering (programme classified under this field)
• Admission requirements and application details: not specified in the original description — consult the university’s official programme page or admissions office for up‑to‑date entry criteria, required documents and deadlines.

Program overview This master's curriculum combines theoretical grounding with hands-on practice to prepare you for building and securing Internet of Things (IoT) solutions. Coursework covers system-level design, the interaction between devices and cloud infrastructure, and the embedded hardware/software stack that powers IoT endpoints. The program culminates in a research-based master's thesis that focuses on solving practical IoT challenges.

Teaching emphasizes applied skills as well as conceptual understanding: you learn to architect integrated IoT systems, leverage cloud services for data processing and management, and develop firmware and software for constrained devices. Security is treated as a cross-cutting concern, ensuring you can design resilient systems for real-world deployment. This blend of content is suitable for students aiming for technical roles in product development, systems engineering, or research in IoT domains.

Key modules

• IoT system design — methods and practices for developing end-to-end, integrated IoT solutions.
• Cloud computing for IoT — the role of cloud platforms and services in collecting, storing, and processing IoT data.
• Embedded Systems — hardware and software aspects of embedded devices, including development for resource-constrained environments.
• IoT security — principles and techniques to identify, mitigate, and manage security risks in IoT deployments.
• Master's thesis — a research project applying program knowledge to address a practical problem in the IoT field.

Learning outcomes

• Design and implement end-to-end IoT architectures that integrate sensors, edge devices, and cloud services.
• Apply cloud technologies to support scalable data collection, storage, and analytics for IoT applications.
• Develop and optimize embedded software and understand relevant hardware constraints.
• Identify security threats to IoT systems and apply appropriate protection strategies.
• Conduct independent research, formulate solutions to real-world IoT problems, and communicate findings in a thesis format.

Graduates are prepared for technical roles across the IoT value chain, such as embedded systems engineer, IoT developer, cloud/edge architect, or IoT security specialist. The programme’s emphasis on hands‑on projects and applied research also suits positions in R&D teams, industrial automation, healthcare technology and smart building solutions.

For international students, knowledge of German—supported through course-integrated language classes—can enhance internship and job opportunities in the German market, while the English-taught curriculum and project experience make graduates competitive for roles in multinational companies and startups working on IoT innovations.