Dr. Jacob Brower

Associate Professor

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Biography

Jacob Brower is an Associate Professor and Distinguished Teaching Fellow of Marketing at the Smith School of Business, Queen's University. His academic background includes a PhD in Marketing and other degrees from the University of Texas at Austin and Syracuse University. Dr. Brower's research focuses on several areas, including marketing strategy, corporate social responsibility, brand management, and the dynamics of top management teams. His work has been published in notable academic journals such as the Journal of Management Studies and the Journal of Business Ethics. Previously, he worked as a consultant and market research analyst for Fortune 500 companies, specializing in brand management. His teaching experience spans various courses, with a significant focus on marketing principles and analytics. He has received multiple awards for his teaching and research contributions, demonstrating his commitment to both academic excellence and practical applications in marketing.

Research Interests

Experience

Associate Professor of Marketing

2019-01-01 — Present

Smith School of Business, Queen’s University • Kingston, ON

Currently serving as an Associate Professor with a focus on marketing topics.

Assistant Professor of Marketing

2011-01-01 — 2019-01-01

Smith School of Business, Queen’s University • Kingston, ON

Held a tenure-track position focusing on teaching and research in marketing.

Assistant Instructor/Research Assistant

2006-01-01 — 2011-01-01

McCombs School of Business, The University of Texas at Austin • Austin, TX

Supported academic research and assisted in teaching marketing courses.

Awards

#

Distinguished Faculty Teaching Fellow of Marketing

2019-01-01
#2010

Best Paper Award

2010-01-01

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.