Information Engineering International Programs: Numerus Clausus

International Information Engineering Programs in Germany with Admission Restriction — Numerus Clausus/NC (2026/27)

Information Engineering International Programs with NC

Information Engineering International Programs with NC

Germany is a top destination for international students pursuing Information Engineering, offering world-class programs at the intersection of computer science, electrical engineering, and information systems in one of Europe’s most digitally advanced economies. English-taught degrees combine core areas such as software development, network architecture, signal processing, and data communication with practical training in cybersecurity, IoT, cloud, and distributed systems. Students benefit from Germany’s major investments in digital infrastructure and 5G, gaining hands-on experience in state-of-the-art labs and internships at leading companies like Deutsche Telekom, Infineon, and Bosch working on technologies for smart cities, autonomous vehicles, and industrial automation.

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Most Selective International Information Engineering Programs

For degree courses with a numerus clausus, part of the study places are allocated according to the grade point average (GPA) of the previous degree. Selection is generally based on how many applicants apply for a place. The higher the grade, the more difficult it is to get onto the course. The German grading system ranges from 1.0 (very good) to 6.0 (unsatisfactory).
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Top 1 Most Selective International Program in Information Engineering (based on NC)

Winter Semester 2024/2025
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Universities with the most selective international Information Engineering programs

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All international Information Engineering programs in Germany with admission restriction

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Information Engineering international programs with NC: Glossary

Numerus Clausus (NC)
This Latin term means “limited number” and indicates that a program has restricted admission. In other words, not all applicants can be accepted, so selection is usually based on grades or other criteria when demand exceeds available spots.
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