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University of Pittsburgh    
2026-2027 Graduate & Professional Studies Catalog 
    
 
  Jul 17, 2026
 
2026-2027 Graduate & Professional Studies Catalog

Dual Degree: Marketing Science, MS / Analytics and Application of Artificial Intelligence for Business, MS


The STEM-designated Dual MS in Marketing Science and MS in Analytics & Applications of AI for Business is a 45-credit program that combines advanced accounting preparation with high-demand analytical and AI capabilities. Students enrolled in this program must complete the appropriate number of required and elective courses according to program requirements and maintain a minimum GPA of 3.0. 

The Master of Science in Marketing Science prepares students for the future of marketing, offering a broad introduction to marketing alongside in-depth study of customer insights, research techniques, data analytics, digital marketing, and social media marketing. Students learn how to build effective marketing strategies based on data and the latest technological tools.  

The Dual MS model provides students with a strong competitive edge by combining their discipline expertise with advanced training in analytics, data management, and applied AI for business. Through coursework in data mining, programming, machine learning, database management, and AI deployment, students learn to generate and apply insights to real business challenges across functions. Emphasizing analytic and AI technical skills, responsible AI use, and core business foundations, the program equips graduates to translate complex analysis into strategic decisions that drive innovation and organizational impact.

Analytics & AI Electives (6 Credits)


Elective curriculum includes a mix of business analytics and/or preapproved Business Analytics/AI related non-business graduate courses.

Elective courses within the MS Analytics and Applications of AI for Business degree are required to dedicate a substantial proportion of their content to Business Analytics and/or AI related topics, thereby advancing students’ business analytics and AI knowledge while supporting the program’s broader academic objectives.

At least 1.5 credits must come from experiential learning courses. The experiential learning component must emphasize the application of business analytics and/or AI methods to real world problems and require students to demonstrate competencies in data-driven decision making (e.g., through project courses or internships).

At least 1.5 credits must come from courses focused on responsible AI/ethical considerations.

Total Credits: 45




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