Dr. Huachao Gao

Associate Professor

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Biography

Huachao Gao currently serves as an associate professor of marketing in the Peter B. Gustavson School of Business at the University of Victoria. He joined Gustavson in 2016 and has since contributed significantly to the understanding of consumer identity and its implications for decision-making processes. His research focuses on various aspects of consumer behavior, including cross-cultural identity, luxury consumption, price sensitivity, and food waste. His work has been published in leading marketing journals such as the Journal of Consumer Research and the Journal of Marketing Research. Gao also participates on the editorial review boards of notable journals like the Journal of Business Research and the Journal of Marketing Research. Over the years, he has taught several marketing-related courses including Marketing Principles and Management, International Marketing, and Digital Marketing. Before joining the University of Victoria, he taught consumer behavior at the University of Texas at San Antonio, where he developed his teaching methodology that emphasizes practical applications of marketing principles.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Peter B. Gustavson School of Business • Victoria, BC

Teaches marketing courses and conducts research on consumer behavior.

Awards

#2022

Excellence Research

2022-01-01
#2014

AMA-Sheth Foundation Doctoral Consortium Fellow

2014-01-01

Courses

Marketing Principles and Management International Marketing Digital Marketing

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.