Dr. Tatyana Krivobokova

Professor

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Biography

Tatyana Krivobokova is a professor with expertise in Statistical Methods and Asymptotic Statistics. She is actively involved in teaching complex statistical concepts, with courses that include Examples of Advanced Asymptotic Statistics and Linear Multivariate Statistics. Her research focuses on developing statistical methodologies and applications in various fields, ensuring that her work contributes to the academic community's understanding of these subjects. With a commitment to educating the next generation of statisticians, Tatyana promotes rigorous analytical thinking and a deep understanding of statistical theory among her students. Her involvement in doctoral seminars indicates her dedication to supporting advanced study in statistics.

Experience

Professor

2010-09-01 — Present

University of Vienna • Vienna, Austria

Leading courses in Statistics and guiding doctoral research students.

Courses

Asymptotic Statistics (MA) Complex Statistical Methods (MA) Statistics 1 Linear Multivariate Statistics Generalized Linear Model PhD-AW: Seminar Doctoral Candidates PhD-AW: ISOR-Colloquium

Requirements for University of Vienna

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:87
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
Prerequisites
Completed Bachelor's degree in Philosophy or equivalent subject At least 150 ECTS from a relevant undergraduate program
Application Checklist
  • Bachelor's degree certificate
  • Transcript of records
  • Proof of English proficiency (C1 level for English-taught, B2 for others)
  • Proof of German proficiency (at least C1 level for German-taught programs)
  • Passport or ID card
  • Curriculum Vitae
Specialization Notes

Requirement for German proficiency: Proficiency in German at level C1 is required for most philosophy programs except specifically designated English-language tracks.