Dr. Beste Kucukyazici

Associate Professor

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Biography

Beste Kucukyazici is an Associate Professor and E. Marie Shantz Fellow in Management Analytics at the Smith School of Business, Queen’s University. She leads the Healthcare Analytics Initiative at Smith, focusing on advancing analytics techniques for healthcare sustainability. Her research agenda includes developing predictive and prescriptive analytics methods to address challenges faced by decision-makers in the health sector and sustainable supply chains. She specializes in healthcare management, policy design, and medical decision-making while also studying supply chain network design and analyzing the environmental impacts of pricing regulations. Kucukyazici has a PhD in Operations Management from McGill University and has held academic positions at Michigan State University and McGill University. Her teaching experience includes courses in business analytics, healthcare management, and operations management at both undergraduate and graduate levels. She has received various awards for her research and has contributed significantly through publications and conference presentations.

Research Interests

Experience

Associate Professor

2023-01-01 — Present

Smith School of Business, Queen’s University • Kingston, Ontario, Canada

Assistant Professor

2019-01-01 — 2022-01-01

Michigan State University • East Lansing, Michigan, USA

Assistant Professor

2012-01-01 — 2019-01-01

McGill University • Montreal, Quebec, Canada

Professor Supply Chain Management

2009-01-01 — 2012-01-01

MIT-Zaragoza International Logistics •

MD-MBA Program Director

2016-01-01 — 2019-01-01

Michigan State University •

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.