Ethics, Compliance & Legal Regulations
Niveau
Master's degree 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 utilization strategies on the basis of these ethical and legal frameworks and develop approaches based on this
• 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 utilization strategies on the basis of these ethical and legal frameworks and develop approaches based on this
Prerequisites for the course
No prerequisites
Course content
The following topics are covered 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
English
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