Digital Engineering — Electrical Engineering
Master of Science (M.Sc.)
This three-semester master’s degree program builds on the seven-semester bachelor’s degree in digital engineering – electrical engineering. Alternatively, applicants with a traditional six-semester bachelor’s degree in electrical engineering may also be admitted, provided they complete additional coursework (about 30 credit points or one semester) to make up for foundational gaps in computer science.
This master’s program is composed primarily of elective modules, allowing students to tailor their studies toward a specialization in either electrical engineering or computer science.
Shape Your Own Future, Starting in Siegen
This master’s program offers maximum flexibility, allowing students to combine modules from electrical engineering and computer science based on their interests. Hands-on experience is emphasized through specialized laboratory courses held in small groups, where students can apply and deepen their knowledge. Close interaction with professors fosters an open learning environment and supports quick feedback. The region provides numerous connections to a strong network of medium-sized companies, while the master’s thesis offers opportunities to engage in cutting-edge international research.
Quick Facts
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Start of studies
Winter semester and summer semester -
Standard period of study
3 semesters -
Separate application required
No -
Language of instruction
German and English
Career Prospects
This degree program prepares you for an engineering career at the intersection of software, artificial intelligence, and Industry 4.0, where future productivity will be driven by the close integration of engineering and computer science. The innovations of tomorrow will rely on the seamless combination of electrical engineering, information technology, software, and AI.
Specialization options in Digital Engineering - Electrical Engineering
You can choose nine modules with six credit points each, at least three each from engineering and computer science. The remaining three modules can be distributed according to inclination and interest.
Potential focuses in computer science are image processing or intelligent systems. A variety of core elective modules are available in the following specializations (some in German, some in English):
- Automation Technology (in German)
- Communications Technology (in English)
- Electronics Design and Technology (in English)
(Departmental) Examination Regulations/Recommended Course Sequences/Module Handbooks/Internship Regulations
(Departmental) examination regulations (FPOs) define the basic structures of a degree program (e.g. admission requirements and content to be studied). Students are automatically subject to the current version of an FPO when they enroll for their first semester. This means that even if the FPO changes during the course of study, the original version according to which you enrolled is still valid (provided this FPO does not expire).
The respective recommended course sequence represents the recommended exemplary course of study in the individual subjects and is part of an FPO.
Supplementary regulations and detailed information for each module to be studied can be found in the module handbooks (e.g. requirements for taking a written examination or information on the content of the modules/courses, ...).
The internship regulations define the conditions under which the compulsory or optional internships must be completed.
Before the start of the lecture period, we recommend that you at least take a look at the recommended course sequences of your degree program so that you know which modules are planned for the start of your studies.
Why choose Digital Engineering - Electrical Engineering at the University of Siegen?
- Research-focused program at an international level, preparing students for advanced roles in industry or academia (including doctoral studies)
- Broad range of specialization options, such as energy and automation systems, electronics, or communication technologies
- Strong interdisciplinary connections across Schools, including computer science, mechanical engineering, and applied mathematics
- Close collaboration with faculty offering numerous opportunities for student research assistantships and project work in teaching and research
- Individual mentoring by distinguished professors and researchers in small learning groups
