Dr. Betty Exintaris

Associate Professor

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Biography

Dr. Betty Exintaris is an Associate Professor in the Department of Pharmacy at Monash University, specializing in Medicinal Chemistry and Drug Action. She is a member of the Monash Institute of Pharmaceutical Sciences and focuses her research on the role of membrane potential in regulating peristalsis, along with the intracellular mechanisms that underlie spontaneous activity in the urinary tract and prostate gland. Her research also includes the modulation of autonomic and sensory nerve effects on the contractile activities of smooth muscles. Dr. Exintaris teaches courses in physiology and pharmacology for the Bachelor of Pharmacy and Bachelor of Pharmaceutical Science programs. She has led and collaborated on multiple research projects including those aimed at integrating objective structured practical examinations and mapping antimicrobial education across various health disciplines. Dr. Exintaris contributes to achieving the UN Sustainable Development Goals through her work, emphasizing the importance of education and collaboration in advancing pharmaceutical sciences.

Research Interests

Experience

Associate Professor

— Present

Monash University • Melbourne, Australia

Teaching and researching in the Department of Pharmacy, focusing on medicinal chemistry and drug action.

Awards

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Teaching Excellence Award

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Award for Programs that Enhance Learning

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.