Dr. Tin Su

Professor

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Biography

Professor Tin Su is a clinically qualified public health physician and researcher with over 20 years of working experience dedicated to improving population health and community capacity building. He has made significant contributions in social epidemiology and implementation science research, notably as the director of the South East Asia Community Observatory (SEACO). Professor Su is a principal investigator for a community cohort encompassing 38,000 individuals and has been instrumental in leveraging Health and Demographic Surveillance System (HDSS) data through the HDSS-Asia network. His research includes the effects of climate change on health, with various projects aimed at understanding and mitigating these impacts. He has secured substantial funding, including a grant from the Wellcome Trust for his project focusing on behavioral adaptation to heat in semi-rural Malaysia. Professor Su's influential role extends to various international health literacy initiatives, establishing the Asia Health Literacy Association and serving as an advisory member on several health literacy projects. His contributions have been recognized globally, and he has held honorary professorships at various renowned institutions. He is a prominent figure in public health research with an expansive focus on non-communicable diseases, community health development, and health literacy initiatives, seamlessly integrating these concepts into his ongoing research.

Research Interests

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.