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Management of Information Systems MBA


Ellis College MBA Programs

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Master of Business Administration Management of Information Systems MBA Ellis College

Ellis College MBAs are ideal for those looking for a convenient or long distance MBA program online. In the Management of Information Systems specialization, you'll discover how to use information as a competitive organizational resource and information technology to gain maximum competitive advantage.

Computer and information systems managers plan, coordinate, and direct research and design the computer-related activities of firms. They help determine both technical and business goals in consultation with top management, and make detailed plans for the accomplishment of these goals. For example, working with their staff, they may develop the overall concepts of a new product or service, or may identify how an organization's computing capabilities can effectively aid project management.

In addition to the core courses listed under the General Business MBA , you are required to take three electives from the following:

Information Resource Management
Introduces the use of the information resources through which a business can achieve competitive advantage. Topics covered include systems development, end-user computing approaches, computer-based information systems, and enterprise computing, both domestic and global

Advanced Information Systems Risks and Controls
This course explores different methodologies and perspectives in the risk and control area. Major course topics include risk assessment models, operational and organizational control structures, and strategic use of risk and control feedback

Data Mining
Major topics include determining business problems or questions that might be effectively answered via data mining, comparing and contrasting different data mining techniques, evaluating data mining reports, developing organizational policies on data mining, understanding the typical data-mining project cycle, and developing a plan for implementing and evaluating data mining.

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