Dr. Tania Prvan

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Tania Prvan. Improve your application with a focused, well-structured draft.

Biography

Tania Prvan is an Associate Professor at Macquarie University specializing in applied statistical modeling and data science. With a strong academic background, she has contributed significantly to the fields of regression analysis, choice experiments, and structural equation modeling. Her research interests span applied statistical methods, focusing on real-world applications in various contexts. She has built a robust publication record, with numerous outputs over the years, demonstrating her active engagement in research and collaboration in the academic community. Tania has also been involved in teaching, presenting at conferences, and contributing to projects that further the understanding and application of statistical models in practical settings. Her dedication to her field is evident through her involvement in teaching and mentoring students in statistical methods, helping them navigate complex data analysis challenges. Tania’s contributions to the field are recognized internationally, and she plays a vital role in advancing research methodologies in applied statistics.

Research Interests

Experience

Associate Professor

— Present

Macquarie University • Sydney, NSW

Engaged in teaching and research in applied statistical modeling.

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).