This master’s program trains students to design and implement connected, end-to-end IT systems that link sensors, software and business models. As companies develop intelligent products and digitally transform their operations, they need specialists who understand the whole chain—from data capture at the sensor layer through system architecture to viable business concepts. The course emphasizes this full-stack perspective so graduates can create cyber-physical business systems that address complex socio-technical challenges.
The curriculum is inherently interdisciplinary, combining knowledge from sensor technology, information systems and business model design. Students learn to integrate these areas to engineer solutions that are technically sound and economically viable. The program is research-oriented and prepares graduates to drive innovation within industry or to contribute to academic research projects.
Offered over four semesters, the Master of Science deepens the competences gained in relevant bachelor programmes and awards a research qualification that enables progression to doctoral studies. Instruction is in English, making the programme accessible to international students who want to work at the intersection of IoT, cyber-physical systems and digital business transformation.
Requirements (concise)
The Master’s in Information Engineering combines a core set of compulsory modules with a flexible elective component. In the compulsory “fundamentals in information engineering” area you will deepen technical knowledge in machine learning and engage with advanced topics from software engineering. Core practical and academic training is provided through an information engineering seminar and an advanced practical course focused on applied information-engineering methods.
Electives let you tailor the programme to your interests. The largest elective block is dedicated to information engineering, giving you space to specialize in particular technical areas. Additional elective options cover management and economics as well as ethical aspects of information engineering, adding interdisciplinary perspective to your technical training.
This structure is designed to develop both theory and hands-on skills: you gain advanced algorithmic and software-engineering expertise, applied experience through project-oriented coursework, and an understanding of managerial, economic and ethical considerations that influence real-world information systems.
Requirements (concise)
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Winter Semester (International)
31 May 2026
Summer Semester (International)
30 November 2026
Winter Semester (EU/EEA)
31 May 2026
Summer Semester (EU/EEA)
30 November 2026
Graduates are prepared to design and implement linked, end‑to‑end IT and cyber‑physical systems across technical and commercial domains. Typical careers include roles that bridge hardware, software and business strategy in areas such as IoT, embedded systems, systems architecture and product innovation. The degree also provides a research qualification and qualifies graduates who wish to pursue doctoral study (PhD).
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