This English‑taught MSc program in Electronics Engineering offers two professional tracks focused on Intelligent Systems: (1) development and fabrication of intelligent systems, and (2) application of intelligent systems. By selecting appropriate module combinations, graduates are prepared for careers across a wide spectrum of sectors where sensorics, embedded intelligence and microelectronics intersect.
Graduates can work in areas such as machine learning and signal processing for sensor systems, autonomous vehicles, automated test and measurement, IIoT and edge control, microelectronics and microsystems design and fabrication, System‑on‑Chip and mixed‑signal electronics, optical and laser technologies, and a variety of communications systems (satellite, wireless, underwater and fibre‑optic). The curriculum addresses both hardware and algorithmic aspects: integrated circuit and system design, FPGA and mixed‑signal design, fundamentals and hardware implementation of AI, microstructuring and laser microprocessing, microsensors/microactuators and their medical, environmental and automotive applications, plus advanced topics in measurement, optics, and acoustic and RF communications.
Core topics and technical competencies covered (module-level examples)
For specific admission criteria, module choices, and degree requirements, consult the programme’s official information from the university.
This MSc program is offered in two durations depending on your undergraduate credit load: a three‑semester track for students with a 210‑ECTS (or equivalent) Bachelor's degree, and a four‑semester track for those with a 180‑ECTS (or equivalent) Bachelor's degree. Note: applicants from India, Bangladesh and Vietnam who hold a four‑year Bachelor’s degree must apply to the four‑semester variant. Each semester contains five modules, each worth 6 ECTS (30 ECTS per semester).
Teaching combines subject-specific engineering modules that shape your individual profile with economics and language modules that are common across profiles. Courses typically consist of lectures with integrated small‑group exercises, seminars, laboratory sessions, and project or case‑study work. Contact hours are given per week; one contact hour equals 45 minutes. For every contact hour you should expect around two additional hours of self‑study. The programme follows ECTS workload accounting (30 hours of student work = 1 ECTS as stated).
Assessment is continuous in most modules (lab tasks, seminar presentations, homework) and is usually accompanied by a written or oral exam at the end of the semester. The Master’s thesis is a 30‑credit component: it involves 22 weeks of research work, a written thesis, and an oral defence.
If you want, I can turn this into a one‑page PDF summary or a checklist for preparing your application and study plan.
This master's programme expects applicants to hold a relevant first academic degree in a discipline closely related to electrical engineering. Acceptable backgrounds include electrical engineering, electronics, information engineering, engineering physics, microsystems, mechatronics, instrumentation, computer science or other related fields that provide the foundations needed for advanced study in electronics engineering. Academic records will be evaluated and converted to the German grading scale via a uni-assist VPD (preliminary document review).
Applicants must demonstrate strong academic performance and language proficiency. Minimum academic thresholds are specified both as German-equivalent grades and as common international grade point standards; applicants from certain countries (for example India) should note the stated national equivalence. In addition to academic requirements, you must show very good English ability (CEFR level C1) and basic knowledge of German — check the programme’s detailed language requirements for acceptable proofs and exact specifications.
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 October 2026
Winter Semester (EU/EEA)
15 July 2026
Summer Semester (EU/EEA)
15 October 2026
Graduates are prepared for engineering and R&D roles in a wide range of sectors: machine learning and AI for sensor systems, autonomous and automotive systems, industrial IoT and edge computing, microelectronics and system-on-chip design, optical and laser technology firms, satellite and wireless communications companies, underwater acoustics/SONAR, and aerospace and medical microsystems industries. Typical positions include hardware/embedded engineer, FPGA or SoC designer, sensor systems developer, test & measurement engineer, and R&D specialist in microfabrication and optical measurement.
The programme’s combination of theoretical foundations, practical laboratory experience and project work helps graduates to move into both industry roles and research positions, or to continue into doctoral studies in related fields.
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