Dr. Minh Huynh

Assistant Professor

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Biography

Minh Huynh is a senior lecturer at Monash University, focusing on applied statistics education with expertise in econometrics, business statistics, and data science. His work bridges rigorous statistical theory with practical, real-world applications across business, sports, and social sciences. Dr. Huynh is dedicated to building a strong foundation in statistics education and applied analytics, exploring the integration of statistical modeling, predictive analytics, and data-driven decision-making within business and economics. His research extends to sports analytics, applied network analysis, clustering, and machine learning to better understand performance, strategy, and team dynamics. As an award-winning educator, recognized with the Australian Award for University Teaching citation in 2023, he is committed to designing engaging learning experiences that emphasize conceptual clarity and relevance to real-world settings. Dr. Huynh works extensively with regression models and large-scale data, applying advanced visualization techniques to ensure that statistical insights lead to informed decisions that make a meaningful impact. His expertise also relates to the UN Sustainable Development Goals, contributing toward initiatives that address global issues.

Research Interests

Experience

Senior Lecturer

2011-01-01 — Present

Monash University • Melbourne, Victoria, Australia

Educating students in applied statistics and conducting research in the field.

Awards

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Australian Award for University Teaching

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.