Dr. Kai Uwe Schnapp

Professor

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Biography

Kai-Uwe Schnapp is a Professor of Political Science at the University of Hamburg, specializing in methods. He has been at the university since 2008, after holding positions at various institutions including the Social Science Research Center Berlin, Otto-Friedrich-University Bamberg, and Martin-Luther-University Halle-Wittenberg. Schnapp completed his doctorate at the Free University of Berlin, where his dissertation focused on the influence of ministerial bureaucracies on political decision-making processes across OECD countries. His research interests encompass empirical social research and quantitative data analysis, as well as the interface of administrative actors and policy decision-making within the context of the European Union's emissions trading system. His commitment to teaching is evident through his involvement with the Hamburg Center for University Teaching and Learning and the Digital Data Literacy Teaching Lab. Schnapp has received teaching awards from the State of Hamburg and serves as the dean of the Faculty of Business, Economics, and Social Sciences, facilitating academic growth and research innovations.

Research Interests

Experience

Professor

2008-01-01 — Present

University of Hamburg • Hamburg, Germany

Teaching and research in Political Science, focusing on methods.

Dean

2025-01-01 — Present

Faculty of Business, Economics, and Social Sciences • Hamburg, Germany

Overseeing academic and administrative functions.

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).