Business Administration Analytical Essentials, Advanced Certificate
Curriculum
Major Requirements
| Analytical Essentials | Credits: | |
| QANT 620 | Multiple Criteria Decision Models | 1.5 |
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Prerequisite: Prerequisite: QANT 501or a waiver An introduction to decision sciences and the application of multi-criteria quantitative and behavioral modeling to those problems often requiring complex decisions of policy makers. Course content focuses on applications in the business environment and the use of technology as a decision support tool. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5 |
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| MIST 610 | Enterprise Resource Planning Systems | 1.5 |
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Prerequisite: Prerequisite: MIST 501 or a waiver This course provides an overview of modern Enterprise Resource Planning (ERP) systems in use today. It introduces students to how information is used in ERP systems of organizations and how information technology enables ERP systems to support decision making at all managerial levels. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5 |
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| QANT 630 | Operations and Supply Chain Management | 3 |
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Prerequisite: Prerequisite: QANT 510 or a waiver This course discusses a wide range of issues from how organizations successfully create and manage its operations and supply chain to how they control operations and supply chain. Using state of the art technologies, this course discusses key drivers and approaches organizations adopt to improve productivity and achieve competitive position. It also addresses major issues in operations and supply chain including inventory management, logistics management, facility location, total quality, material requirement planning (MRP), project management, and scheduling, The innovations and capabilities of these areas that are related to revenues and financial performance of the organizations are discussed . Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BUSI 650 | Business Analytics and Decision Making | 3 |
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Prerequisite: Prerequisite: FINC 601, MRKT 620, QANT 630 This course discusses the integration of data analytics and modeling to support businesses, non-profits, and governments towards gaining insight and strengthening decision-making ability. Students will develop predictive and prescriptive capabilities using data mining and simulation techniques through case studies and also use optimization techniques to support decision-making in the presence of uncertainty and a large set of alternatives. Focus will be on applying these techniques to different functional areas of business including operations, marketing, finance, and strategic planning. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| Total: 9 Credits | ||