Master of Science in Marketing Analytics

The health and safety of our community remain a top priority. In order to help prevent the spread of COVID-19, the MBA/MS admissions office will not accept visitors or walk-ins. Candidates should contact us at SmithMasters@umd.edu to adequately address your inquiry or set up a virtual consultation. The most up-to-date information from the University of Maryland is available here.

Maryland Smith’s Master of Science in Marketing Analytics (MSMA) program teaches you how to collect, analyze and interpret massive amounts of consumer data to help businesses engage with the right audiences and launch cost-effective campaigns that work.

  • Use cutting-edge tools and programming languages to analyze big data and solve marketing challenges for real businesses.
  • Connect with other talented students from diverse academic backgrounds and boost your skills under the guidance of expert faculty.
  • Participate in data competitions and network with top employers who hire our students.

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  • STEM-eligible program
  • Complete your degree in 2 or 3 semesters
  • Total of 30 credits

Take Engaging Courses

Marketing Strategy

Explore the fundamentals of marketing through case studies and simulation activities that challenge you to make marketing decisions based on data.

Statistical Programming

Gain a strong foundation in SAS and R and learn how to apply probability and statistics when approaching marketing analytics challenges.

Customer Analysis

Discover how customers behave and make decisions by applying the same concepts that major marketing firms use when creating effective strategies.

2019 Student Profile

3.4

Average Undergrad GPA

68%

Women

317

Average GRE Score

665

Average GMAT Score

“The program is very focused on the application of concepts in industry. It gave me the right blend of business knowledge, understanding data and programming. These are the three things recruiters look for.”

Dinesh Mathur

MS Marketing Analytics ’15
Business Intelligence Engineer, Amazon

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