Data Governance and Responsible AI - M.Sc.



--M.WIWI-WIN.0047--







Lecturer:

Dr. Benjamin Brauer

Supervisor

Eryk Wiecki

Contact

Dr. Benjamin Brauer










Intended Audience:

tbd



Language:

German, Lecture Slides, and exam in English



Cycle:

Every Semester



Requirements:

None, make sure to sign up for the lecture and exercise



eCampus:

800216 (Lecture and Exercise)



Workload:

Lecture with Exercise







Summer Term 2026


Make sure to sign up on 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.





Lectures and Exam






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    Foundations of Data Governance - Compliance, Ethics, and Innovation

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    Organizing Data Governance – Roles, Culture, and Change

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    Data Governance for Compliance and Trust

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    Data Ethics and Responsible AI Governance

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    Data Governance in Practice – Frameworks, Tools, and Technologies

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    Inter-Organizational and Ecosystem Data Governance

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    E-Exam

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Exercise






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Examination:

E-Exam

6 ECTS














Im Optimalfall taucht hier das richtig verlinkte Bild auf.

Summer Term 2026


Data Governance and Responsible AI - M.Sc.


Contact





Chair of Information Management
Digital Health Research Group

MZG Floor 8
Platz der Göttinger Sieben 5
37083 Göttingen