Business Ethics, Compliance & Law
Niveau
Master's program
Learning outcomes of the courses/module
The participants:
• can describe advanced ethical and legal requirements for the processing of data
• can apply these advanced requirements with regard to data-driven projects
• can analyze the use of large volumes of data and exploitation strategies on the basis of these ethical and legal frameworks and, building on this, develop approaches
• can describe advanced ethical and legal requirements for the processing of data
• can apply these advanced requirements with regard to data-driven projects
• can analyze the use of large volumes of data and exploitation strategies on the basis of these ethical and legal frameworks and, building on this, develop approaches
Prerequisites for the course
No prerequisites
Course content
The following topics are discussed in the course:
- Data protection (e.g. GDPR)
- Privacy (e-Privacy Regulation)
- Handling data from an ethical/moral perspective
- Compliance
- Data protection (e.g. GDPR)
- Privacy (e-Privacy Regulation)
- Handling data from an ethical/moral perspective
- Compliance
Recommended specialist literature
- Meyer-Galow, E. (2020): Business Ethik 3.0: Die neue integrale Ethik aus der Sicht eines CEOs (Ed. 1), Springer Gabler, (ISBN: 978-3658307851)
- Wybitul, T. (2025): Arbeitsbuch AI Act: Gebrauchsanleitung für Unternehmen zur Umsetzung der KI-Verordnung (Ed. 1), r&w/Fachmedien Recht und Wirtschaft, (ISBN: 978-3800519569)
- Franz, M. (2026): Rechtssicherer AI-Einsatz im Unternehmen: Use Cases beurteilt nach AI Act, Datenschutz, Urheberrecht und weiteren Gesetzen (Ed. 1), Springer Gabler, (ISBN: 978-3658499440)
- Wybitul, T. (2025): Arbeitsbuch AI Act: Gebrauchsanleitung für Unternehmen zur Umsetzung der KI-Verordnung (Ed. 1), r&w/Fachmedien Recht und Wirtschaft, (ISBN: 978-3800519569)
- Franz, M. (2026): Rechtssicherer AI-Einsatz im Unternehmen: Use Cases beurteilt nach AI Act, Datenschutz, Urheberrecht und weiteren Gesetzen (Ed. 1), Springer Gabler, (ISBN: 978-3658499440)
Assessment methods and criteria
Written exam
Language
German
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
The following methods are used:
- Lecture with discussion
- Lecture with discussion
Semester/trimester in which the course/module is offered
4