Dr. Sadasivan Sivalal

Associate Professor

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Biography

Associate Professor Sivalal joined Monash University Malaysia in June 2006, where he has been involved in the MBBS program at the Jeffrey Cheah School of Medicine & Health Sciences. He serves as a coordinator for several programs including the Year 1 Transition programme (MedStart) and the Health Enhancement Programme (HEP). His expertise in medical education encompasses Problem Based Learning (PBL), Health Promotion & Evidence-Based Medicine (HP & EBM), Medical Law, and health services management. Sivalal supervises Bachelor of Biomedical Science students, including participants in the Young Scholar Programme. His research interests lie in medical education and public health, primarily focusing on health promotion and lifestyle. He is connected to the UN Sustainable Development Goals, particularly in education and improving healthcare delivery modalities. Sivalal has been involved in multiple projects aimed at evaluating the effectiveness of health interventions related to diabetes and ischemic heart disease.

Research Interests

Experience

Associate Professor

2006-06-01 — Present

Monash University • Melbourne, Australia

Involved in medical education, specifically the MBBS program. Coordinates health programs and supervises students.

Awards

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Teaching Excellence Award

2018-10-16
#

Vice Chancellor's Award for Teaching Excellence

2018-11-27

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.