Dr. Susie Ho

Associate Professor

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Biography

Susie Ho is an Associate Professor at Monash University, where her scholarly research focuses on interdisciplinary sustainability and innovation in education. She is passionate about designing and delivering educational programs that address the changing demands of the world, with a strong emphasis on enhancing graduate employability. Susie aims to empower future strategic leaders to become change agents through transformative and experiential education. Her work emphasizes the importance of creating positive, collaborative learning environments, encouraging students to take the lead in implementing real-world changes. As the Director of the Monash Innovation Guarantee Flagship, she fosters partnerships with private sector entities, commercial enterprises, and UN agencies to enrich educational initiatives that support innovation and contribute towards the United Nations Sustainable Development Goals. Her expertise aligns with the 17 global goals established by UN member states to end poverty, protect the planet, and ensure prosperity for all.

Research Interests

Experience

Associate Professor

— Present

Monash University • Melbourne, VIC, Australia

Teaches and conducts research in interdisciplinary sustainability and innovation education.

Awards

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Monash Graduate Association Lecturer of the Year

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Banksia Research Academia Award

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Dean's Excellence Teaching Awards

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.