Dr. Danusha Jayawardana

Assistant Professor

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Biography

Danusha Jayawardana is a Research Fellow at the Centre for Health Economics, Monash Business School. She has broad research interests in economics, child and adolescent development, and mental health. Her work on child development focuses on understanding how children thrive regardless of socioeconomic background and the factors that shape both cognitive and non-cognitive development. She examines the outcomes for children involved in the child protection system, with a particular emphasis on the effects of out-of-home care. Additionally, her research on mental health explores the socioeconomic determinants and economic costs associated with mental health, as well as inequities in access to mental healthcare. Currently, she is the Chief Investigator on the Australian Research Council (ARC) Discovery Project investigating 'Mental healthcare pricing and socioeconomic inequities in access to care'. Danusha obtained her PhD in Economics from the University of Adelaide in 2020, receiving the Dean’s Commendation for Doctoral Thesis Excellence.

Research Interests

Experience

Research Fellow

2021-01-01 — Present

Centre for Health Economics, Monash Business School • Melbourne, VIC

Conducting research focused on economics related to child and adolescent development, and mental health.

Awards

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Dean's Commendation for Doctoral Thesis Excellence

2020-01-01
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Visualise Thesis Competition (VYT)

2019-01-01

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.