Dr. Duc Dinh

Assistant Professor

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Biography

Duc Tam Dinh is a lecturer at Monash University, specializing in marketing education. He completed his PhD in Business Administration with a focus on Marketing in 2021 from Istanbul. He has extensive involvement in various educational and community initiatives, serving in roles such as mentor, coach, and content organizer since joining Monash University Malaysia in 2022. He is known for his critical thinking and creativity, actively participating in educational projects and research collaborations that promote innovative learning experiences. Dinh’s research interests are centered on Artificial Intelligence, Sustainable Consumption, Self-Identity, Higher Education, and Consumer Anonymity. He has received accolades for his contributions to student learning and has been recognized as a reviewer for multiple academic journals. Throughout his career, Dinh has engaged with students to enhance their learning journeys and help cultivate a deep understanding of their subject areas, all while embodying the belief that education can significantly impact lives.

Research Interests

Experience

Lecturer

2022-07-01 — Present

Monash University • Melbourne, Australia

Lecturer in Business Administration with a focus on Marketing.

Awards

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Dean's Citation Outstanding Contribution Student Learning - Early Career

2024-11-20
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Blue Letter Teaching Excellence

2024-04-20
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Fellowship Higher Education

2025-03-19

Courses

Consumer Behaviour Marketing Research Methods

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.