Data Governance and Responsible AI - M.Sc.
- Module: Data Governance and Responsible AI
- Module number: M.WIWI-WIN.0047
- eCampus: 800216 (Lecture and Exercise)
- Cycle: Every term
- Credits: 6 ECTS (Master studies)
- Courses of study: tbd
- Exam 90 min; E-Exam
- Lecturer: Dr. Benjamin Brauer
- Supervisor: Eryk Wiecki
- Contact: Dr. Benjamin Brauer
- Language: German (Lecture slides in English; Exam in English)
Make sure to sign up to Stud.IP for the lecture and exercise (no credentials required). [not yet available!] Note: The course will not be added to the module catalog until the winter term 2026/2027. However, the course is available in FlexNow for the summer term 2026 and can be registered for and credited.
|
|
||
|---|---|---|
| Lecture 1 | Foundations of Data Governance – Compliance, Ethics, and Innovation | TBD |
| Lecture 2 | Organizing Data Governance – Roles, Culture, and Change | TBD |
| Lecture 3 | Data Governance for Compliance and Trust | TBD |
| Lecture 4 | Data Ethics and Responsible AI Governance | TBD |
| Lecture 5 | Data Governance in Practice – Frameworks, Tools, and Technologies | TBD |
| Lecture 6 | Inter-Organizational and Ecosystem Data Governance | TBD |
|
|
||
| T | B | D |
| Examination | (E-Exam) | TBD |