Dr. Angela Cruz

Associate Professor

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Biography

Angela Cruz is an Associate Professor of Marketing at Monash University, based in Caulfield, Melbourne. She holds a PhD in Marketing from the University of Auckland. Her research focuses on theories of consumption, marketing communication, and branding in liminal market spaces, exploring the complexities, ambivalences, and transformations present in these environments. Key areas of her research encompass cultural boundaries, technological boundaries, and conceptual boundaries within consumer culture theory. Angela employs a range of qualitative methodologies including hermeneutic analysis, discourse analysis, narrative analysis, and visual projective techniques. She has teaching experience across undergraduate, postgraduate, and executive levels, covering introductory marketing, strategy innovation, marketing communications, and digital marketing. Her academic contributions include various publications in notable journals, addressing contemporary topics in marketing and consumer behavior.

Research Interests

Experience

Associate Professor

— Present

Monash University • Melbourne

Teaching and conducting research in Marketing.

Awards

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Competitive Paper Consumer Culture Theory Conference

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Dean's Commendation for Excellence in Equity, Diversity and Social Inclusion Research

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Dean’s Award for PRME (Principles for Responsible Management) Education Excellence

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
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.