Online MS-ISM curriculum

Addresses central issues in managing information to achieve competitive advantage and support innovation. Specific topics covered include data modeling using entity relationship (ER) diagrams, data quality, building analytic capability, and providing user-friendly access to organizational data.

Instills students a balanced and disciplined view of IT and business with their interplay. Cases and assignments involving the symbiotic relationship of IT and business are assigned to provide real-world exposure for critical thinking and engaging discussion.

Covers how organizations strategically use Business Intelligence (BI) to gain a sustainable, competitive advantage. Builds the foundations for evidence-based managerial decision making, covers technologies for data warehousing and data mining from a managerial perspective, and incorporates contemporary topics such as real-time BI, business analytics, and business performance management.

Provides a broad survey of information security and controls, utilizing the COBIT framework to illustrate how information security and controls contribute to effective IT governance. Develops an understanding of the issues associated with information security and effective IT governance, assesses effectiveness of information security alternatives, and designs an organizational information security program.

This course presents an exploration of modern artificial intelligence (AI) technology, applications, techniques and their implications for business. The students will learn people, process and technology factors related to the innovation and adoption of AI in the commercial enterprise and how it will shape the competition and society in the future. Implications for Information Systems professionals as it pertains to managing the AI infrastructure (robots, algorithms, platforms) will also be covered.

Builds foundations for process analysis by focusing on information, documents, people, roles and business rules. Provides an introduction to various techniques and tools of process analysis, including an understanding of organizational issues in rolling out change initiatives.

Investigates major categories of enterprise systems, factors driving software adoption and keys for successful implementation. Pays special attention to evaluating the potential impact of emerging technologies on business environments.

Provides an overview of the project management process groups and knowledge areas (defined by the PMBOK) and focuses on the application of key concepts, tools and techniques for delivering on-time, on-budget IT project and services that meet end-user needs.

Explores decision models and frameworks applied to assess, evaluate and implement technologies. Provides context for applying the decision models and frameworks, including enterprise integration technologies, mobile platforms and devices, semantic web, and electronic collaboration technologies.