Digital Engineering - Electrical Engineering
Master of Science (M.Sc.)
This 3-semester Master's degree can be studied following the Bachelor's degree in Digital Engineering - Electrical Engineering (7 semesters). Alternatively, it can also follow on from a traditional 6-semester Bachelor's degree in Electrical Engineering, in which case requirements amounting to approx. 30 credit points or one semester are imposed to cover the existing gaps in computer science.
This Master's degree consists mainly of compulsory elective modules. An individual specialization in electrical engineering or computer science is possible.
Your future begins in Siegen
This Master's degree offers maximum flexibility, as a variety of modules from electrical engineering and computer science can be combined according to interest. Attractive specialist laboratories in small groups serve to deepen the knowledge imparted in practice. Direct contact between students and professors enables questions to be clarified quickly. On the one hand, the region allows for numerous contacts to the strong medium-sized local industry. On the other hand, students can get a taste of top international research, especially during their Master's thesis.
Everything at a glance
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Start of studies
Winter semester and summer semester -
Standard period of study
3 semesters -
Admission restricted
No -
Language of instruction
German and English
Career prospects
This degree program is the ideal preparation for an engineering career in the field of software, AI and Industry 4.0. The integration of engineering and computer science is aimed precisely at the productivity driver of the future. The innovations of tomorrow require the fusion of electrical engineering, information technology, software and AI.
Specialization options in Digital Engineering - Electrical Engineering
You can choose 9 modules with 6 credit points each. At least 3 each from engineering and computer science. The remaining 3 modules can be distributed according to inclination and interest.
Possible focuses in computer science are image processing and intelligent systems. In the engineering modules, numerous compulsory elective modules are available from the following specializations (partly in German, partly in English):
- Automation Technology (in German)
- Communications Technology (in English)
- Electronics Design and Technology (in English)
(Subject) examination regulations/study plans/module handbooks/internship regulations
(Subject) 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 enrol 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 study plan 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).
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 curriculum of your degree program so that you know which modules are planned for the start of your studies.
Good reasons for studying Digital Engineering - Electrical Engineering at the University of Siegen
- Research-oriented studies at top international level as preparation for demanding tasks for industrial or academic career entry (e.g. doctorate)
- Wide range of specialization options, e.g. in energy and automation technology, electronics or communication technology
- interdisciplinary links within the Schools, e.g. to computer science, mechanical engineering and applied mathematics
- good links to the chairs with a wide range of opportunities for student part-time jobs and projects in research and teaching
- personal supervision by renowned professors and scientists in small course groups
