Embedded systems are a driving force behind many modern technologies — from medical devices and automotive systems to aerospace, telecommunications and media. These systems sense their environment with sensors, make decisions through embedded software, and interact with the physical world via actuators. This master’s programme builds on that reality by focusing on the design and integration of such sensor-driven, intelligent systems.

The curriculum provides a solid blend of computer science and engineering skills so you can operate at the interface of hardware and software. Graduates are prepared for careers as research scientists or as technical project leaders in industry, able to translate requirements and ideas between software and hardware teams. You will gain both theoretical foundations and practical competencies required for developing real-world embedded solutions.

You can tailor your studies through a broad, cross-disciplinary track in computer science and micro-systems engineering or by specialising in one of several focused areas. The programme’s elective fields include:

• Artificial Intelligence
• Biomedical Engineering
• Circuits and Systems
• Cyber-Physical Systems
• Materials and Fabrication
• Photonics

Requirements

• Instruction language: English.
• For precise admission criteria, application deadlines and required documents, consult the university’s official programme information (international applicants should check degree recognition, visa regulations and funding/tuition details).

Overview

This Master's programme is organised around two core domains: Computer Science and Microsystems Engineering. The Computer Science component combines essential (compulsory) lectures with a range of elective courses, while the Microsystems Engineering side comprises advanced modules and specific concentration areas. Students can also shape their own pathway through an optional customised course selection, giving room for interdisciplinary combinations and personal focus.

Teaching and learning are delivered through lectures, exercises, laboratory courses, seminars and project work. Campus laboratories support hands‑on training where research and teaching intersect, so practical experimentation and prototype work are integral to the curriculum. The programme’s flexible structure lets you specialise across a wide spectrum of embedded-systems topics and tailor your studies towards either software‑heavy, hardware‑oriented or mixed systems themes.

Capstone and learning outcomes

The degree concludes with a substantial final project and Master’s thesis, during which students join an active research project in the Department of Engineering. Graduates leave with practical experience from lab and project work and the ability to design, analyse and implement embedded systems that bridge software and microsystems components. Expected outcomes include strengthened analytical and experimental skills, competence in project-based engineering work, and direct research experience useful for industry roles or further doctoral study.

Key programme requirements (study components)

• Complete core and elective modules in Computer Science (essential lectures + elective courses)
• Complete advanced modules and chosen concentration(s) within Microsystems Engineering
• Optionally select customised courses to broaden or deepen specialisation
• Participate in lab courses, seminars and project work to gain hands‑on experience
• Undertake a final project and Master’s thesis embedded in a Department of Engineering research project

Graduates are prepared for roles that require bridging hardware and software in embedded and cyber‑physical systems. Typical career paths include research scientist positions, R&D engineer, embedded systems engineer, systems or project lead in industries such as medical technology, automotive, aerospace, telecommunications and consumer electronics.

The combination of hands‑on laboratory experience and research exposure also prepares graduates for doctoral studies or technical leadership roles where they coordinate interdisciplinary teams developing complex embedded products or platforms.