Shape your own future, starting at the University of Siegen
Energy-efficient systems, autonomous vehicles, and networked devices all rely on a blend of electrical engineering and software expertise. In the Digital Engineering - Electrical Engineering program, you’ll learn how modern electronics interact with algorithms, data, and artificial intelligence. You’ll design systems that measure, communicate, analyze, and automate. Your studies will include:
- Core areas of electrical enginering such as circuit technology, measurement technology, control, signal processing
- Modern computer science content such as programming, software engineering, AI and machine learning
- Mathematical basics such as analysis, linear algebra, discrete mathematics, numerics
You will deal with current topics such as embedded systems, image processing, or communication networks - and learn in a practical, application-oriented and interdisciplinary way.
At the University of Siegen, you can study digital engineering with a focus on electrical engineering, or with one of the following specializations:
Career Prospects
The industry needs specialists who understand electrical systems and develop digital solutions. Graduates are expected to find excellent opportunities in
- Developing control, sensor and communication systems,
- Implementing software for automated systems and embedded hardware,
- Implementing machine learning methods in technical applications - such as for diagnostics, control or image processing.
An advanced master's degree is also possible, built around a focus that suits your interests.
Candidates who do not hold a general university entrance qualification such as the German Abitur, but who do possess an entrance qualification for technology colleges such as the Fachhochschule, or who are in the middle of their careers, should review the information provided here.
Why choose Digital Engineering at the University of Siegen?
- Unique degree program: Where engineering meets computer science
- Excellent career prospects: Strong and growing demand for engineers skilled in software and AI
- Strong environment: Personal supervision and close support from instructors
- Practical relevance: Individual specialization through labs, projects, and internships
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Regional connections: Direct access to many hidden champions in the area