Dr. Stefan Sperlich

Professor

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Biography

Stefan Sperlich is a Full Professor and Director of the Research Institute for Statistics and Information Science at the University of Geneva. He completed his PhD in Economics at Humboldt University of Berlin and has held various esteemed positions, including Professor of Statistics at the University Carlos III de Madrid and Chair of Econometrics at the University of Göttingen. With over 15 years of experience as a consultant to regional, national, and international institutions, he has contributed significantly to development programs, for example, EUROSOCIAL. He co-founded the 'Poverty, Equity and Growth in Developing Countries' research center at the University of Göttingen and is a research fellow at the Center for Evaluation and Development in Mannheim, Germany. His research interests include nonparametric statistics, small area statistics, and empirical economics, particularly impact evaluation methods. He has published extensively in top-ranked scientific journals and received the Koopmans econometric theory prize, underscoring his substantial contributions to the field of econometrics.

Research Interests

Experience

Professor of Statistics

2010-01-01 — Present

University of Geneva • Geneva, Switzerland

Full professor specializing in statistics and econometrics.

Chair of Econometrics

2006-01-01 — 2010-01-01

University of Göttingen • Göttingen, Germany

Led the econometrics department and conducted significant research.

Professor of Statistics

2001-01-01 — 2006-01-01

Carlos III University of Madrid • Madrid, Spain

Contributed to the development of statistical methodologies.

Requirements for University of Geneva

Master Program
Requirements
IELTS
Overall
Required:7
TOEFL
Total
Required:92
Prerequisites
Bachelor degree from a recognized university Minimum 60 ECTS in management or related field for direct admission
Application Checklist
  • Cover letter
  • CV
  • Diplomas
  • Transcripts
  • Proof of English proficiency
Specialization Notes

Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.