MSBA Marketing Analytics Track
"I chose Leeds MSBA because it allowed me to pursue job opportunities I would not have considered before."
- Kerstin Kammerer
(MSBA ‘24)
Program Details
- GMAT/GRE test scores are optional.
- The full-time, in-person program is 10 months. The part-time, online program format takes two years to complete.
- Automatic admission granted to currently enrolled CU undergraduate seniors with a Leeds major or minor who have a 3.0 GPA or higher.
- No coding or technical background is required.
- Technical, quantitative and statistically intensive. Learn data architecture, functional analytic problem-solving and soft, durable skills.
- Learn more about the Marketing Analytics Track curriculum here and learn more about MSBA Marketing Analytics Track costs and tuition here.
Careers in MSBA Marketing Analytics
The MSBA Marketing Analytics track will prepare students to accelerate their careers in the high-demand, marketing analytics field. Employment growth and demand for marketing analytics experts is high, and Leeds' students find jobs with companies like AB InBev, Alteryx, KPMG, Merckle, OptTek Systems, P2 Energy Solutions and Panasonic North America.
Professionals in marketing analytics harness data for strategic decision-making, understanding customer behavior and optimizing marketing effectiveness.
Common job titles include digital marketer and marketing analyst.
Master's in Business Analytics Marketing Analytics Track Faculty
Meet our award-winning faculty, recognized for their innovative teaching approach and their cutting-edge research in top academic journals.
Nicholas Reinholtz
Assistant Professor
MARKETING
Nicholas Reinholtz is a assistant professor of marketing at the Leeds School of Business. He holds a Ph.D. in marketing from Columbia University and undergraduate degrees in mechanical engineering and political science from Virginia Tech. Nick's research focuses on different aspects of consumer behavior, including financial decision making, product and price search, and the cognitive processes and representations underlying choice.
Liu Liu
Assistant Professor
MARKETING
Liu’s research focuses on the intersection of marketing and machine learning, in areas such as visual marketing, branding, product design and innovation, social media, and consumer choice modeling. Prior to starting her academic career, she worked at Google for three years as a Software Engineer, doing large-scale machine learning for the AdSense system.
Scott Shriver
Associate Professor
MARKETING
Professor Shriver’s research interests include online privacy, network effects, sustainability, empirical industrial organization and applied econometrics. His work has appeared in leading academic journals such as Management Science and Marketing Science, and won awards for best dissertation (Frank M. Bass award) and best paper (John D.C. Little award). Professor Shriver teaches Customer Analytics in the undergraduate, MBA and MS programs and the Quantitative Marketing seminar in the PhD program.
Amit Bhattacharjee
Associate Professor
MARKETING
Amit's research investigates how moral psychology shapes consumers' marketplace judgments and behaviors. Current topics of interest include lay economic reasoning, perceptions of inequality and market fairness, judgments about the relationship between morality and job performance, symbolic consumption and signals of consumer and producer authenticity, and perceptions of consumer welfare and well-being. He spends much of his personal and professional life in a state of confusion about which moral standard to apply in any given situation..
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Application Deadlines
Round 1: October 7, 2024
Round 2: December 2, 2024
Round 3: February 3, 2025
Final International Deadline: February 5, 2025
Final Domestic Deadline: May 12, 2025