Information Systems Curriculum Overview

The cross-disciplinary curriculum ensures graduates of the Information Systems master's program know how to assess a company's information systems needs, and are able to manage technology projects to meet the needs of the business and its stakeholders. Students also refine their communication and team skills to ensure they can clearly communicate with both business and technology representatives.

Core curriculum

This course deals with the basic problems of managing a project, defined as a temporary organization built for the purpose of achieving a specific objective. Both operational and conceptual issues will be considered. Operational issues include definition, planning, implementation, control, and evaluation of the project. Conceptual issues include project management vs. hierarchical management, matrix organization, project authority, motivation, and morale. Cases will be used to illustrate problems in project management and how to resolve them.
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Corporate financial management requires the ability to understand the past performance of the firm in accounting terms; while also being able to project the future economic consequences of the firm in financial terms. This course provides the requisite survey of accounting and finance methods and principles to allow technical executives to make effective decisions that maximize shareholder value.
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This course exposes students to the macro and micro aspects of organizational behavior and theory that are essential to technology management. The macro aspects will focus on structural contingency theory as an approach to effective organizational design. The micro aspects will focus on leadership, teams, and individual behavior (e.g., motivation, job attitudes). Specific issues and problems which are covered include: the relationship of the organization with the external environment, the influence of the organization's strategies, culture, size, and production technology on the organization's design, and strategies for managing organizational processes such as teams, conflict, power/politics and organizational change. Current topics, that are key to technology management (e.g., virtual teams), will be stressed.
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This course presents and analyzes various approaches to information analysis and development of organizational information systems within a system development life-cycle (SDLC), e.g. the waterfall, concentric, and prototyping approaches. Topics include strategic planning for SDLC, front-end and back-end phases of SDLC, project management, CASE methodologies, and balancing user, organizational, and technical considerations.
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This course focuses on data and database management, with an emphasis on modeling and design, and their application to decision support. The course is organized around the following general themes: Strategic Data Planning, Data Governance, Enterprise Data Integration, Data Management Approaches, Data Design for Transaction Processing vs. Decision Support, Data Management Functions, Abstraction and Modeling, Data- and Information Modeling (ER, Object-oriented), Database Schemas (Conceptual Schema), Database Design (Functional Dependencies and Normalization), Query languages (SQL, DDL, QBE), Metadata Development and Application, Data Quality Approaches, Master and Reference Data Management (e.g., Customer and Product Data), Temporal Data, Data, Analytics, and Business Performance, Introduction to Data Warehousing, OLAP, OLTP, and Data Mining, Strategic Data Policies and Guidelines (e.g. Enterprise Data and Integration, Governance, Markets, Customers, and Competitors, Leadership, Analysts and Knowledge Worker Skills and Training, Communities of Analysts). There are numerous case studies and modeling projects throughout the course.
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IT organizations must be able to leverage new technologies. This course focuses on how organizations can effectively and efficiently assess trends and emerging technologies in data and knowledge management, information networks, and analyzing and developing application systems. Students will learn how to help their organizations define, select, and adopt new information technologies.
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This course focuses on the issues surrounding the design of an overall Information Technology architecture. The traditional approach in organizations is to segment the problem into four areas network, hardware, data, and applications. Instead, this course concentrates on the interdependencies among these architectures. In addition, this course will utilize management research on organizational integration and coordination. The student will learn how to design in the large, make appropriate choices about architecture in relationship to overall organization goals, understand the different mechanisms for coordination available, and create a process for establishing and maintaining an ongoing enterprise architecture.
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The objective of this course is to address the important question, "How does one improve the alignment of business and Information Technology strategies?" The course is designed for advanced graduate students. It provides the student with the most current approaches to deriving business and Information Technology strategies, while ensuring harmony among the organizations. Topics include business strategy, business infrastructure, IT strategy, strategic alignment, methods/metrics for building strategies, and achieving alignment.
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Specialization

The master's program includes three electives that allow you to explore an area of interest in greater depth. Alternately, students seeking more structure can use those elective courses to pursue one of the concentrations listed below.

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Core curriculum