Dr. Purnamrita Sarkar

Associate Professor

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Biography

Purnamrita (Purna) Sarkar is an Associate Professor in the Department of Statistics and Data Sciences at the University of Texas at Austin. She specializes in machine learning and statistical modeling, with significant contributions to the fields of big data and data science. Purna completed her Ph.D. in Machine Learning at Carnegie Mellon University in 2010, where she developed innovative algorithms for data analysis and predictive modeling. Her research interests encompass statistical learning, big data analytics, and machine learning applications across various domains. She has authored numerous publications and is recognized for her expertise in developing strategies for efficient data processing and interpretation. Additionally, Purna is actively involved in teaching and mentoring students in statistical methods and machine learning techniques. Her work aims to bridge theoretical concepts with practical applications in data-intensive domains, enhancing the understanding and capabilities of statistical sciences within the research community and industry.

Research Interests

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.