Dr. Katrine Jørgensen

Assistant Professor

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Biography

Katrine Bruun Jørgensen is a PhD student at Aarhus University, specializing in Art History, Aesthetics, and Museology. Her research focuses on exploring the dynamics of art and culture within various frameworks. She has been actively involved in disseminating knowledge and insights pertaining to her field through publications and presentations. Jørgensen's academic pursuits are anchored in a solid understanding of the intersection between art history and contemporary issues, allowing her to contribute valuable perspectives to scholarly discussions. In addition to her academic endeavors, she holds a position at Ribe Art Museum, where she applies her expertise in art curation and audience engagement. She is committed to understanding and enhancing the relationship between art institutions and their communities, making significant strides in promoting accessibility and appreciation of art. With her analytical skills, she adeptly processes and delivers content while generating meaningful reports that inform service usage and engagement strategies. Jørgensen continues to develop her research portfolio, reflecting her dedication to advancing knowledge in her field.

Research Interests

Experience

PhD Student

— Present

Aarhus University • Aarhus C, Denmark

PhD student focusing on research in art history and museology.

External position

— Present

Ribe Art Museum • Ribe, Denmark

Position at the art museum involving engagement and curation.

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.