Master’s in Marketing Analytics
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 (starting Fall 2025).
- No coding or technical background is required.
- Technical, quantitative and statistically intensive. Learn data architecture, functional analytic problem-solving and soft, durable skills.
- The MS Marketing Analytics is not eligible for the student visa program at this time.

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Careers in Marketing Analytics
The MS Marketing Analytics program 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 Marketing Analytics Faculty
Meet our award-winning faculty, recognized for their innovative teaching approach and their cutting-edge research in top academic journals.
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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.