This English-taught Master's programme addresses current and emerging challenges in information and communication systems through a broad selection of modules. All students complete a set of core courses that establish the fundamentals needed for subsequent specialisation. After consolidating these fundamentals, students deepen their knowledge by selecting one of two dedicated tracks: Information Processing Technologies or Communication Systems.
Each specialisation comprises several required subjects alongside additional electives, allowing you to tailor your studies toward specific interests within the chosen track. The programme also supports hands-on research experience: in the third semester students choose either a university-based research project or a research internship (availability permitting). The degree is finalised with a Master's thesis completed in the concluding semester.
Key facts at a glance:
This structure is well suited to international students seeking a balance of theoretical grounding, specialised coursework, and practical research experience in the fields of information and communication systems.
The program combines a set of shared core modules with a choice of one of two specializations — Information Processing Technologies or Communication Systems — and a range of technical and non‑technical electives. All students complete a core package of compulsory modules (27 CP) and then choose additional elective courses so that compulsory plus electives sum to 48 CP. In the final stage students complete an independent research component (either a longer research internship or a shorter research project) and a compulsory Master’s thesis (30 CP) in the final semester.
Core teaching in semester 1 (and some continuing into semester 2) develops practical and theoretical skills in digital system design, mobile and vehicular communications, digital signal processing, microwave and photonic system fundamentals, and next‑generation Internet technologies. Laboratory and seminar formats are used alongside lectures to ensure hands‑on experience. Choosing a major directs you to targeted compulsory modules and a set of electives that deepen either signal- and sensor‑based information processing or RF/optical communication and network analysis. The research/internship option plus the Master’s thesis are designed to produce independent design, analysis and research capabilities suitable for industry or doctoral study.
Key learning outcomes include the ability to design and test digital and heterogeneous hardware systems; implement and analyze digital signal processing and computer vision methods; understand microwave and photonic components and their application in communication systems; model, simulate and evaluate communication network performance; and carry out a substantive independent research or development project culminating in a 30 CP Master’s thesis.
Core compulsory modules (27 CP total), semester and format:
Choose one major and complete its compulsory modules:
Major-specific elective requirements (must pass at least two):
Further elective options (technical):
Further elective options (non‑technical):
Research / internship option (choose one):
Master’s thesis (compulsory, final semester) – 30 CP
Note: CP = Credit Points used in the German higher education system.
This master’s programme requires applicants to hold an undergraduate degree in the field of electrical engineering and information technology. The native program title is "Bachelorstudiengang Elektrotechnik und Informationstechnik" (Chemnitz University of Technology).
Applicants who completed a different but related bachelor’s degree may still be considered. Equivalence is decided on a case-by-case basis by the programme’s examination board, so candidates with degrees from other institutions should be prepared for an individual review of their academic background.
Winter Semester (International)
15 July 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for technical and development roles in telecommunications, wireless and mobile networks, signal and image processing, embedded systems and optical or microwave communications. The programme’s combination of theoretical foundations, laboratory practice and project/research experience equips students for positions such as systems engineer, network planner, R&D engineer, or algorithm developer in industry.
The course also provides a strong basis for further research and doctoral studies for students interested in academic careers, given the option to complete a research project and a thesis within the programme.
Offenburg University of Applied Sciences — Offenburg
RPTU University Kaiserslautern-Landau — Kaiserslautern
RWTH Aachen University — Aachen
Chemnitz University of Technology — Chemnitz