Dr. Sangseraima Ujeed

Assistant Professor

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Biography

Sangseraima Ujeed is an Assistant Professor in Tibetan Buddhism Studies at the University of Michigan. Ujeed's research is centered on the transnational, transregional, and cross-cultural aspects of Tibetan Buddhism, with an emphasis on the early modern period. Her principal research objective is to elucidate the hybridity of religion and identity within the Tibetan Buddhist world, characterized by its cosmopolitan and multicultural dimensions. Ujeed employs textual scholarship, drawing from various genres including Tibetan Buddhist literature and Qing archival materials written in Tibetan, Mongolian, Manchu, and Chinese. Current projects include a monograph titled "Mirror Lives: Tibetan Buddhism, Lineage, Identity in the Early Modern Period," focusing on Buddhist texts created in the 17th and 18th centuries. Ujeed's teaching is informed by her deep experience with traditional academic worlds of Buddhism and aims to engage students with the history, practices, and cultural contexts of Tibetan Buddhism through a variety of courses.

Research Interests

Courses

Life Stories in Tibetan Buddhist Traditions Practice and Ritual in Tibetan Buddhism Medicine and Healing in Tibetan Buddhism Tibetan Buddhism and Indigenous Religions of the Himalayas and Inner Asia Tibetan Buddhist Legends Tibetan Buddhism and the Tibet-Mongolia Interface Myths and Oral Histories

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science