Dr. Thomas Fung

Associate Professor

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Biography

Thomas Fung is an Associate Professor at Macquarie University in the School of Mathematical and Physical Sciences. With a PhD in Statistics from the University of Sydney, his research focuses on integer-valued time series analysis, extreme value theory, and financial modeling. He is particularly interested in complex data that deviates from traditional models, exhibiting properties such as dispersion and heavy-tailedness. Fung supervises postgraduate coursework and research students interested in projects broadly related to these fields. He is an elected member of the International Statistical Institute (ISI) and serves as President of the Statistical Society of Australia (SSA) NSW Branch. He actively engages with the broader community and has contributed to organizing significant statistical events. His recent awards include the Faculty of Science and Engineering Excellent Award for Educational Leader in 2023.

Research Interests

Experience

Associate Professor

2014-01-01 — Present

Macquarie University • Sydney, Australia

Teaching and research in statistics, focusing on time series analysis and financial modeling.

Awards

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Excellent Award for Educational Leader

2023-01-01
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Teaching Development Grant

2024-01-01

Requirements for Macquarie University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:94
PTE
Listening
Required:58
Reading
Required:58
Writing
Required:58
Speaking
Required:58
Overall
Required:65
Prerequisites
Bachelor degree from a recognised institution Minimum 3 years full-time equivalent work experience at a managerial/professional level
Application Checklist
  • Official Academic Transcripts
  • Curriculum Vitae (CV)
  • Statement of Motivation
  • Evidence of Work Experience
Specialization Notes

Applied to Department of Business (MBA Program).