Dr. Aurélie Lemmens

Professor

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Biography

Aurélie Lemmens is a Full Professor at the Rotterdam School of Management, Erasmus University, specializing in Customer Analytics. She holds the Chair in Customer Analytics and serves as the Academic Director of the Expert Practice in Customer Analytics at the Erasmus Center for Data Analytics. Lemmens completed her Ph.D. at K.U. Leuven and obtained an MSc in Business Engineering from Solvay Business School. Prior to her tenure at RSM, she held academic positions at Erasmus School of Economics and Tilburg University, and was a visiting scholar at Harvard Business School. Her research interests center on developing prescriptive analytics that leverage consumer data to inform critical business decisions, focusing on methodologies to guide organizations in customer-centric decision-making. Her work encompasses the fundamental stages of the customer lifecycle, including acquisition, development, and retention. Lemmens is noted for her contributions to prominent academic journals like Marketing Science and the Journal of Marketing Research, and has received several prestigious grants including from the Marie Curie program and the Dutch Science Foundation. She has also been an award-winning teacher for her courses in Customer Analytics and Business Analytics Management.

Research Interests

Experience

Full Professor

2015-01-01 — Present

Erasmus University Rotterdam • Rotterdam, Netherlands

Leading research and teaching in customer analytics and prescriptive analytics.

Requirements for Erasmus University Rotterdam

Master Program
Requirements
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:91
Prerequisites
Bachelor degree in Econometrics, Mathematics, Statistics or Industrial Engineering Advanced Mathematics (Calculus, Linear Algebra) Applied Statistics Econometrics and Time-series analysis
Application Checklist
  • Bachelor diploma or graduation statement
  • Official academic transcript
  • Curriculum Vitae
  • Proof of English proficiency
  • Course descriptions for Mathematics prerequisites
Specialization Notes

Department of Econometrics / MSc Econometrics and Management Science.