MS Marketing Analytics

Leverage Data to Inform Impactful Marketing Strategies

Students in the MS Marketing Analytics program graduate with the ability to harness data for strategic decision-making, understand customer behavior and optimize marketing effectiveness.

 Inquire babyÖ±²¥app the Program

Program Details

  • Starts in July.
  • 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 MS Marketing Analytics curriculum here and learn more about MS Marketing Analytics costs and tuition here.
  • The MS Marketing Analytics is not eligible for the student visa program at this time.

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Students collaborating

Careers in Marketing Analytics

The MS Marketing Analytics program prepares 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.

More babyÖ±²¥app MSMA Careers

Be prepared to work with divisional marketers to interpret and analyze digital marketing data, then provide insights and action plans to help business partners drive performance against key performance indicators. Requires understand and fluently uses company technology & analytics tools to measure & analyze online marketing performance; works with business partners to establish digital Key Performance Indicators (KPIs) & metrics and works across organization and Areas to create consistent calculated metrics.

Be prepared to be responsible for overseeing the development and implementation of advanced analytics, data mining, and statistical modeling techniques to solve complex marketing and GTM challenges and drive business growth and build, lead, and mentor a team of data scientists and analysts across several locations including outside of the US.

Be prepared to lead in the development and execution of integrated, multi-channel strategic marketing plans for one or more products/initiatives/channels and formulate plans that acquire, grow, and retain customers in support of the product life cycle.

Be prepared to produce insights, deliver stories and provide meaningful impact for global marketing, brand, and client acquisition and you will work in a close-knit, dedicated, congenial team environment with a shared goal of delivering impact.

Master's in Marketing Analytics Faculty

Meet our award-winning babyÖ±²¥app, 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 Professo

MARKETING

Amit's research investigates how moral psychology shapes consumers' marketplace judgments and behaviors. Current topics of interest include lay babyÖ±²¥app 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..

Gold Line

Gain a Competitive Edge

#32

Best Public Graduate Business School
U.S. News & World Report, 2024

 

#38

Top Research School in North America
UTD Top 100 Business School Research Rankings (2018-2022)

Boulder CO, Best Places to Live for Quality of Life in the U.S.
U.S. News & World Report, 2024

Meet the MSMA Team at Leeds

Leeds' team of dedicated professionals help you maximize your experience in the MSMA program. Our student success team and career development coaches provide highly curated support to ensure you have everything you need to succeed.

 

Application Deadlines

Round 1: October 7, 2024

Round 2: December 2, 2024

Round 3: Febuary 3, 2025

Final International Deadline: February 5, 2025

Final Domestic Deadline: May 12, 2025

*The MS Marketing Analytics is not eligible for the student visa program at this time.