
Professor Dr. Peter Danaher
Professor
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Biography
Peter Danaher is a Professor of Marketing at Monash University, where he has served as the Head of the Marketing Department from 2019 to 2021. Before joining Monash, he held the Coles Myer Chair in Marketing at the Melbourne Business School and was associated with the University of Auckland. Danaher has also undertaken visiting positions at prestigious institutions such as the London Business School, Wharton School, NYU, and MIT. Currently, he is the Co-Editor of the Journal of Marketing Research and has previously held the position of Area Editor for the Journal of Marketing. His extensive research interests include media exposure distributions, advertising effectiveness, television audience measurement behavior, internet usage behavior, and customer satisfaction measurement, among others. Danaher's work has been recognized with several awards, including the Long-Term Impact Award by the INFORMS Society for Marketing Science, and he is a Fellow of the Academy of Social Sciences in Australia. His contributions span various eminent journals, establishing him as a leading figure in the field of Marketing Science, particularly focusing on econometric methods and media effectiveness. He leads multiple research projects aimed at leveraging unstructured customer data for business growth and decision-making in marketing, reflecting his commitment to advancing the discipline while contributing to the UN Sustainable Development Goals.
Research Interests
Experience
Professor
— PresentMonash University • Melbourne, Australia
Professor of Marketing, formerly Head of the Marketing Department.
Awards
Long Term Impact Award
Paul Green Award
Fellow
Marketing Science Institute Practice Prize Competition
Recipient
Requirements for Monash University
Master Program
Requirements
GPA Requirement
IELTS
TOEFL
Prerequisites
Application Checklist
- Academic Transcripts
- Proof of English Proficiency
- Curriculum Vitae
- Copy of Passport
Specialization Notes
Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.