Dr. George Athanasopoulos

Professor

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Biography

George Athanasopoulos is a Professor and Head of the Department of Econometrics and Business Statistics at Monash University. He is internationally recognized for his contributions to forecasting, time series analysis, and applied econometrics and is a co-author of the widely adopted textbook "Forecasting: Principles and Practice". His work has received over 10,000 citations and more than 50 million pageviews. Athanasopoulos has developed a practical, data-driven approach to forecasting education, supported by associated software that has been downloaded 2 million times. He specializes in hierarchical grouped time series forecasting and has advanced methods for forecast reconciliation and cross-temporal coherence. His expertise aligns with the UN Sustainable Development Goals, contributing significantly to the field through his leadership roles and editorial responsibilities. Over the years, he has received numerous awards in education and research, reflecting his commitment to student learning and innovation in econometrics and statistics.

Research Interests

Experience

Professor

2019-01-01 — Present

Monash University • Melbourne, VIC

Professor in the Department of Econometrics and Business Statistics.

Head of Department

2022-01-01 — Present

Monash University • Melbourne, VIC

Head of the Department of Econometrics and Business Statistics.

Awards

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Citation for Outstanding Contributions to Student Learning

2022-01-01
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Dean's Award for Excellence in Research - Early Career Researcher

2009-01-01
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Dean's Award for Innovation in Learning and Teaching

2020-01-01
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Dean's Award for Teaching Excellence

2020-01-01
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Dean's Commendation for Excellence in Publication

2007-01-01

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.