Dr. Beáta Wagner Nagy

Professor

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Biography

Beáta Wagner-Nagy is a Professor of Finno-Ugric Studies at the University of Hamburg and the Managing Director of the Institute for Finno-Ugric/Uralic Studies. Her research primarily focuses on the documentation and analysis of Uralic languages, historical linguistics, language contact, and typology. Wagner-Nagy has led numerous long-term projects, including the INEL project aimed at building corpora and grammatical resources for indigenous Northern Eurasian languages. She has published extensively on topics such as syntactic structures in Selkup dialects and the grammatical features of the Nganasan language. Her academic contributions include editing volumes and articles on Finno-Ugric languages and their typological characteristics. Wagner-Nagy holds a PhD in Uralic Linguistics from the University of Szeged. Her dedication to the promotion and preservation of these languages is evident through her work in field research and edited collections. She has received various grants for her research and is actively engaged in exploring the intricacies of Uralic languages through both theoretical and practical frameworks.

Research Interests

Experience

Professor

— Present

University of Hamburg • Hamburg, Germany

Leading the Department of Finno-Ugric Studies and managing research projects.

Lecturer

— Present

University of Vienna • Vienna, Austria

Teaching courses on Finno-Ugric linguistics and cultural studies.

Research Associate

— Present

Hungarian Academy of Sciences • Budapest, Hungary

Contributed to various research projects in Finno-Ugric linguistics.

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).