Dr. Peter Carr

Associate Professor

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Biography

Peter Carr is an Associate Professor in the Teaching Stream at the University of Waterloo, focusing on the intersection of technology and business within society. His research delves into technology innovation, entrepreneurship, strategic management of technology, and project management, particularly in improving business performance and social impact through technology. He has substantial experience teaching at both undergraduate and graduate levels, including Operations and Supply Chain Management and Project Management. In addition to his academic role, he serves as the Program Director for the Digital Transformation Certificate and has authored course materials for online education. Prior to his position at Waterloo, Carr was the Executive Director at the Centre for Innovative Management at Athabasca University. He holds a Doctorate in Manufacturing Systems Engineering from Cranfield University, UK. Carr's commitment to education is reflected in his extensive lecturing experience and contributions to the field through publications and development of educational resources, particularly for technology-enhanced learning in developing countries. He has also contributed to reports on digital transformation in the Canadian manufacturing sector, showcasing his expertise and commitment to enhancing the influence of technology in various societal contexts.

Research Interests

Awards

#

Honourary Life Member

1986-01-01

Courses

Operations and Supply Chain Management Project Management Impact of Information Systems on Organizations and Society Technical Entrepreneurship International Project Management Economic Impact of Technological Change Entrepreneurship

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.