Admission requirements
The access to the degree programme requires a successfully completed university degree with at least 210 ECTS, including
- an engineering as well as an economic background.
Double and multiple degrees are recognized if the sum of relevant components amounts to at least 30 credits each in economic and engineering fundamentals.
For international students interested in studying, the university requires proof of German language skills. There are several ways to provide this proof, such as
- DSH-2 (German Language Examination for University Entrance),
- C1 according to the CEFR (Common European Framework of Reference for Languages),
- TestDaF Level 4 (Test Deutsch als Fremdsprache),
- a school leaving certificate equivalent to a German university entrance qualification.
Recommended skills:
- Sound knowledge of PC and internet applications.
- English skills at level C1 of the Common European Framework of Reference for Languages (CEFR).
Details
With the degree program in Industrial Engineering, you combine engineering sciences with legal and economic study contents and develop into an interdisciplinary specialist at the interfaces between technology and business. This master's program prepares you for demanding activities in which you become a point of contact in a conceptual and advisory role for both business and technical issues. You learn to think entrepreneurially and strategically and qualify as a leader in management for various industries such as the automotive and electrical industry, aerospace industry, mechanical engineering, chemical and biotechnology, and business.
The flexible study concept allows you to complete your studies part-time through the digital AKAD campus. The course content covers a variety of subject areas, including:
- Key qualifications for studies and profession
- Functions and their representation in MATLAB
- Process analysis and IT-supported process management
- Integrated management systems
- Systemic leadership
- Interdisciplinary competence - technology-oriented
- Basics of systems theory
- Sustainable corporate management
- Comprehensive management concepts
- Machine learning
- Interdisciplinary competence
- Fuzzy control
- Technical systems Matlab
- Business ethics and sustainability
- Deep learning
- Project workshop
- Specialization
- Master's thesis and colloquium

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