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Rutgers Business School
 
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Accounting and Information Systems 010
Business Environment 373
Finance and Economics 390, 223
Management and Global Business 620, 553
Management Science and Information Systems 198, 711
M.B.A. Proficiency Requirements
Full-Time M.B.A. Core Courses
Part-Time M.B.A. Core Courses
Management Science and Information Systems M.B.A. Electives
Marketing 630
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Camden Newark New Brunswick/Piscataway
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  Rutgers Business School: Graduate Programs-Newark and New Brunswick 2005-2007 Courses and Concentrations Course Information Management Science and Information Systems 198, 711 Full-Time M.B.A. Core Courses  

Full-Time M.B.A. Core Courses

22:198:504Introduction to Information Technology (1) A survey of the use and management of information technology in business. Students acquire a basic familiarity with information technology, including database technology, telecommunications, the Internet, and applications to marketing. The dynamics of the information technology industry is also studied.
22:711:562Supply Chain Logistics and Operations Management (3) Gives an understanding of the variety and the importance of critical decisions encountered in the practice of supply chains (integrated business processes). It offers important quantitative techniques needed for a continuous improvement of a company's operation efficiency, product/service quality, and strategic position in the global marketplace.
22:960:563Data Models and Decisions (3) Introduces statistics as applied to managerial problems. Emphasis is on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as comprehensive packages, such as SPSS®. Topics include descriptive statistics, continuous distributions, confidence intervals for means and proportions, and regression. Application areas include finance, operations, and marketing. Introduces the basic concepts of model building and its role in rational decision making. Knowledge of specific modeling techniques, such as linear and nonlinear programming, decision analysis, and simulation, along with some insight into their practical application is acquired. Students are encouraged to take an analytic view of decision making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses. Students form groups to collect and analyze data, and to write and present a final report. Prerequisite: 22:135:572 with grade of B or better.
 
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