Dr. Raghuram Iyengar

Professor

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Biography

Raghuram Iyengar is a professor in the Marketing Department at the Wharton School of the University of Pennsylvania. His research focuses on individual-level choice modeling across various contexts, with publications in prominent journals like the Journal of Marketing Research and Marketing Science. He has served as a co-editor for the Journal of Marketing Research and has held editorial positions in several academic journals, showcasing his contributions to the field of marketing analytics. Professor Iyengar’s teaching interests include marketing analytics and decision-making strategies grounded in data analysis, utilizing real-world applications to foster student understanding. His academic background includes a Ph.D. from Columbia University and an undergraduate degree from the Indian Institute of Technology Kanpur. He has received numerous awards for his teaching, including the MBA Teaching Excellence Award multiple times and recognition as a Marketing Science Institute Scholar. Professor Iyengar actively engages in research collaborations and has contributed significantly to understanding marketing interventions' causal impacts.

Research Interests

Experience

Miers-Busch Professor

— Present

University of Pennsylvania • Philadelphia, PA

Professor in the Marketing Department focusing on choice modeling and analytics.

Awards

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MBA Teaching Excellence Award

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William O’Dell Award

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MBA Teaching Excellence Award

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.