Dr. Stanislav Volgushev

Associate Professor

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Biography

Stanislav Volgushev is an Associate Professor in the Department of Statistical Sciences at the University of Toronto. His research encompasses multiple areas including Data Science, Probability, and Theoretical Statistics. He has made significant contributions to the fields of quantile regression, empirical process theory, and extreme value theory. Additionally, he focuses on time series analysis, copulas, and the statistical computational challenges posed by big data. Volgushev’s expertise is recognized through his role as the Associate Chair for Graduate Studies, where he plays a critical part in developing academic programs and overseeing graduate education in his department.

Research Interests

Data Science Probability Theoretical Statistics Quantile Regression Empirical Process Theory Extreme Value Theory Time Series Analysis Copulas Statistical Computational Challenges Big Data

Requirements for University of Toronto

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:93
Prerequisites
Appropriate four-year bachelor's degree Background in sociological theory and statistics preferred
Application Checklist
  • Transcripts
  • Two letters of reference
  • Statement of intent
  • Writing sample
  • Curriculum Vitae
Specialization Notes

Department of Sociology