Study structure
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In the first four semesters (foundation course), mathematical and scientific knowledge is taught. In the subsequent three-semester main course, students can choose between three specializations.
Overarching course content
The program combines lectures, exercises, projects and practical phases to create a dynamic learning environment that combines theoretical knowledge with real-world application.
In addition to subject-specific content, great importance is attached to key competencies (soft skills) such as scientific work and presentations, languages, business fundamentals or project, quality and process management.
Regardless of the chosen specialization, skills and knowledge in the areas of,
- project work,
- digitalization and automation,
- data science, machine learning and artificial intelligence as well as
- sustainability and resource conservation
in order to optimally prepare students for the modern working world and the challenges of the digital and ecological transformation of industry.