Vern Glaser, PhD, MBA, BA
Spring Term 2026 (1950)
MMA 616 - Strategy Analytics
3 units (fi 6)(SPR/SUM, 3-0-0)
This course is designed to prepare future managers to effectively integrate data science and business analytics into strategic decision-making. It provides an overview of how these functions can harmonize to create effective strategies while highlighting the pitfalls of poor integration. Students will learn about strategic vision, data-driven decision frameworks, competitive intelligence, risk assessment, and the use of performance metrics for continuous improvement. The course includes real-world case studies to apply theory to practice and emphasizes ethical considerations in data strategy, focusing on responsible data use, transparency, and privacy. By the end, students will understand the interplay between data science and business analytics and be able to develop strategies aligned with organizational goals. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.
LECTURE A01 (31406)
2026-06-26 - 2026-06-27
FS 09:00 - 16:00
2026-07-03 - 2026-07-04
FS 09:00 - 16:00
SEM 427 - Strategic Consulting for Family Businesses
3 units (fi 6)(EITHER, 3-0-0)
In this course, students will examine some of the most salient issues facing family businesses from a consulting perspective. Case studies and recent research will be used to help students learn how consultants and other advisors can address fundamental challenges facing family businesses in practice (e.g., strategic repositioning, process improvement, business valuation, governance and succession issues, and complex family dynamics). The course is case-based and highly interactive, providing students with an opportunity to both learn consulting skills and understand the unique dynamics associated with family businesses.
LECTURE A01 (30718)
2026-05-08 - 2026-05-16
FS 09:00 - 16:50
SEM 627 - Strategic Consulting for Family Businesses
3 units (fi 6)(EITHER, 3-0-0)
In this course students will examine some of the most salient issues facing family businesses from a consulting perspective. Case studies and recent research will be used to help students learn how consultants and other advisors can address fundamental challenges facing family businesses in practice (e.g., strategic repositioning, process improvement, business valuation, governance and succession issues, and complex family dynamics). The course is case-based and highly interactive, providing students with an opportunity to both learn consulting skills and understand the unique dynamics associated with family businesses.
LECTURE A01 (30719)
2026-05-08 - 2026-05-16
FS 09:00 - 16:50
Fall Term 2026 (1970)
BUAN 820 - Executive Perspectives in Analytics
3 units (fi 32)(EITHER, 3-0-0)
Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to Executive MBA students only.
LECTURE A01 (58775)
2026-09-18 - 2026-12-13
FSU 08:00 - 17:00
BUS 860 - Special Topics
3 units (fi 32)(EITHER, 3-0-0)
Topics will vary from year to year. Restricted to Executive MBA students only.
LECTURE A01 (58779)
2026-09-17 - 2026-12-13
RFSU 08:00 - 17:00
MMA 601 - Business Foundations and Strategic Decision Making
3 units (fi 6)(FIRST, 3-0-0)
Students are introduced to business fundamentals in the first session followed by second session that delves deep into the dynamic world of data-driven strategy, cultivating invaluable skills in utilizing data to frame decisions effectively. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.
LECTURE A01 (58840)
2026-08-24 - 2026-08-28
MTRF 09:00 - 16:50
LECTURE A02 (58841)
2026-08-24 - 2026-08-28
MTRF 09:00 - 16:50
SEM 620 - Strategic Decision-Making with Data Analytics
3 units (fi 6)(EITHER, 3-0-0)
This course examines how leaders can leverage data analytics to inform strategic decision-making in organizations. Students will develop skills in using data to frame decisions, asking critical questions about data, understanding and critiquing the methods by which data has been collected and organized, and leveraging data to improve organizational outcomes. The course is organized around two parallel modules: a decision-making module and a data analysis module. Through interactive lectures, case studies, and real-world projects, students will learn to use data to formulate strategies, facilitate change, and create value. The focus is on using data analytics for strategic management rather than intensively analyzing quantitative data.
LECTURE A01 (58191)
2026-09-01 - 2026-12-08
M 18:00 - 21:00