Dr. Atefeh Zamani

Instructor

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Biography

Atefeh Zamani is a lecturer in the School of Mathematics and Statistics at UNSW Sydney, specializing in Mathematical Statistics with a focus on time series analysis, functional data analysis, and data science. She completed her PhD in Mathematical Statistics at Shiraz University in Iran in 2011. Zamani also holds a Master of Data Science from the University of Melbourne, obtained in 2023, and a Bachelor of Science degree in Mathematical Statistics from Shiraz University. Her academic journey has included various teaching and supervision roles, particularly in statistical inference and data science courses. Zamani has actively supervised master's students in research areas such as convolutional generative adversarial networks, Bayesian spectral analysis, and predictive accuracy in time series models. She is committed to advancing the field of data science through her research and teaching.

Research Interests

Experience

Lecturer

2022-01-01 — Present

University of New South Wales • Sydney, NSW, Australia

Lecturer in the School of Mathematics and Statistics, teaching various courses in statistics and data science.

Courses

MATH5845 Time Series MATH5855 Multivariate Analysis ZZSC5806 Regression Analysis for Data Scientists ZZSC9001 Foundations of Data Science

Requirements for University of New South Wales

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:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.