Jul 13, 2024  
2024-2025 Undergraduate Academic Updates 
2024-2025 Undergraduate Academic Updates

Marketing & Decision Sciences

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 View Programs and Courses  



Assistant Professor: Mayuresh Kelkar, Chairperson

Professors: Nisreen N. Bahnan, Linda J. Coleman, Anurag Jain, Youqin Pan, Zaiyong Tang, Philip A. Vaccaro

Associate Professors:  Fernando Colina, Yu Hu, Xu Hartling

Assistant Professor: Jean-Paul James


Faculty Emeriti

Professors:  A. Richard Anderson, Daniel D. Gordon, Elizabeth M. Haran, Craig McLanahan
Associate Professor: Duncan LaBay

Programs Offered

Bachelor of Science in Business Administration


Information and Data Science  
Analytics and Management Science  



Information and Data Science  
Analytics and Management Science  



Business Analytics  

 Data Science  

Information & Cybersecurity Management   

Lean Six Sigma  

Project Management  



Marketing Concentration

The Marketing Concentration provides students with the opportunity to develop their communication, analytical, creative, and decision-making skills for successful careers in marketing. They will learn to appreciate the fact that customer centered companies are most likely to succeed in today’s competitive environment. The program builds upon the foundation of a liberal arts education and upon a common body of business knowledge as well as the specialized area of marketing and of social awareness. Marketing students can, by carefully choosing their courses, develop a concentration around a diverse area of personal interests, such as consumer behavior, international marketing, strategic marketing, marketing research, retailing, advertising, guerrilla marketing, business marketing, sales management, and current issues in marketing.


Analytics and Management Science Concentration

The Analytics and Management Science Concentration, formerly known as Operations and Decision Sciences (ODS) involves the formal study and application of analytics and other quantitative techniques to data driven decision making. It is best of breed, employing highly developed methods and advanced tools to deliver analytical power that leads to better outcomes. Students learn data analysis and business intelligence skills that provide them the ability to define a business challenge and discover the most effective options while assessing and minimizing risk. These techniques include the intelligent use of data and mathematical models to form strategic insights that enable better business decisions and improved business performance. The courses in this concentration introduce the descriptive, predictive, and prescriptive analytical techniques that form the foundation for making decisions in today’s complex, uncertain, and increasingly competitive business environment. This concentration is a STEM concentration that meets the requirements of Business Analytics (CIP Code: 30.7012) and Management Science (CIP Code: 52.1301)


Information and Data Science Concentration

The Information and Data Science Concentration, formerly known as Management Information Systems (MIS) is an innovative discipline that provides students with applied knowledge and skills of using data and information technology to manage information systems, solve business problems, explore opportunities, and capitalize on them in the ever-evolving complex business environment. Information technology and its management play a key role in modern organizations by empowering all traditional as well as contemporary business functions, enabling intelligent and agile decision making, and creating the foundation for the integration of emerging areas such as cyber security, data science, and artificial intelligence into business practices. The courses in the concentration offer foundational training in database management, project management, networks and security, cybersecurity, programming, modeling, IT systems analysis and design, and special/current/emerging topics in the domain of business technology. This concentration is a STEM concentration that meets the requirements of Information Science (CIP Code: 11.0401) or Data Science (CIP Code: 30.7001)



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