Dr. Alexander Scott

Instructor

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Biography

Alex Scott is a lecturer in the Analytics group at the Smith School of Business, Queen's University. He also serves as Senior Director at Borealis AI, which is part of the Royal Bank of Canada's AI Research Institute. Scott has extensive experience in data science, having previously led teams at the Analytics Center of Excellence at TD Bank. He has held various roles in management consulting at firms such as EY, Novantas, and Carly Rian Group. His academic credentials include a Master of Management Analytics (MMA) and a Bachelor of Commerce (BCom) from Queen's University. Scott has co-authored several textbooks on analytics subjects, focusing on data insight, statistics, and analytical decision-making, which are vital for teaching graduate-level courses. His research interests encompass Analytics and Artificial Intelligence (AI), Economics, Innovation Management, Mergers & Acquisitions, and Operations Strategy & Innovation. His work spans both practical industry applications and theoretical explorations of data modeling and analytics techniques.

Research Interests

Experience

Lecturer

2019-01-01 — Present

Smith School of Business • Kingston, ON

Lecturer in the Analytics group.

Teaching Assistant

2012-01-01 — Present

Smith School of Business • Kingston, ON

Assisted in various academic courses related to business analytics.

Senior Director

— Present

Borealis AI, Royal Bank of Canada • Toronto, ON

Leads product management and business engagement teams within AI Research Institute.

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.