Dr. Sara Holton

Assistant Professor

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Biography

Sara Holton is a Senior Research Fellow in the Health Social Care Unit at the School of Public Health and Preventive Medicine, Monash University. She is a mid-career researcher and social scientist conducting psychosocial research in areas related to women's health and mental health well-being, particularly focusing on the health services research for women during their childbearing years and those with chronic health conditions. Sara has successfully acquired $2M in research funding from international and nationally competitive sources, including governmental and philanthropic organizations such as NHMRC, MRFF, and ARC. Her expertise includes stakeholder engagement, project management, leadership of multidisciplinary teams, equity and inclusion, as well as implementation science co-design. Sara's research findings have significantly informed health policy, practice, and further research related to women's health. Her research aligns with the UN Sustainable Development Goals, contributing to the global efforts to end poverty and protect the planet. Recent projects include research on health issues faced by Australia's women and girls.

Research Interests

Experience

Senior Research Fellow

2017-01-01 — Present

Monash University • Melbourne, VIC, Australia

Conducting research on women's health and mental health, managing projects and engaging stakeholders.

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.