B.S. in Operations Management - Concentration in Operations Management

The Operations Management concentration provides students with knowledge of current issues in the Operations Management discipline. Intense competition in fast-paced global environments makes competencies in this field critical in both service and good-producing organizations. This concentration is applicable in many industries and organizations, combining knowledge in business analytics, process design and analysis methods, project management, and operations management issues. The curriculum recognizes environmental, ethical, and social issues. The pedagogy entails lectures and discussions, case studies, field studies, and analytical modeling. The Operations Management concentration builds upon the Carroll School of Management core. Our courses emphasize analysis and decision making and are explicitly designed to deliver the skills and knowledge required to successfully manage people, processes, and systems in today's competitive environment. The concentration is designed to intersect with other functional disciplines making Operations Management an excellent complement to other concentrations including Accounting, Finance, Marketing, Information Systems, or Management & Leadership. Objectives of the undergraduate Operations Management concentration are to develop managers who: possess a broad and deep understanding of theories and concepts in Operations Management are capable of applying skills and knowledge to address management problems understand and utilize quantitative and qualitative analysis in decision making appreciate the role of operations in an organization and the interrelationships among functional areas. Students have also have the option to choose a second concentration in business analytics. Business Analytics draws upon a portfolio of methods and tools including statistics, forecasting, experimental design, data mining, and modeling to turn data into information and insights. The business analytics field includes descriptive, predictive, and prescriptive analytics.