Dr. Richard Boucherie

Professor

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Biography

Richard Boucherie is a Full Professor at the University of Twente, specializing in Stochastic Operations Research. His research expertise encompasses probability theory, queueing theory, and Markov decision theory, with applications in healthcare logistics, telecommunications, and traffic management. He co-chairs the Center for Healthcare Operations Improvement Research (CHOIR) and is a co-founder of the spin-off Rhythm b.v., which focuses on logistical improvements in healthcare. Richard has actively contributed to various academic programs, offering courses in applied mathematics and operations management at both the undergraduate and graduate levels. His in-depth knowledge and extensive research in stochastic models further the advancement of operations research within healthcare and other sectors.

Research Interests

Courses

Applied Mathematics Queueing Theory Stochastic Models for Operations Management Health Care Logistics

Requirements for University of Twente

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
GMAT
Total Score
Required:600
Overall
Required:600
GRE General
Verbal
Required:143
Verbal Percentile
Required:25
Quantitative
Required:155
Quantitative Percentile
Required:60
Analytical Writing
Required:3
Writing Percentile
Required:25
Prerequisites
Bachelor of Science in a related field Knowledge of Statistics and Probability Knowledge of Mathematics Specialization-related topics: Operation Research, Simulation, Financial topics
Application Checklist
  • Transcript of records
  • Copy of diploma
  • Motivation letter
  • Resume (Europass format)
  • Course descriptions of relevant courses
  • English summary of thesis
Specialization Notes

Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.