MS-ISM curriculum

Develop strong management skills and leverage technology to improve performance. The Master of Science in Information Systems Management (MS-ISM) curriculum allows you to immediately apply new knowledge, giving your organization a competitive advantage.

Delivered by the Department of Information Systems in ASU’s W. P. Carey School of Business, and ranked No. 7 in the nation by U.S. News & World Report, the MS-ISM develops your leadership as you explore the future state of information technology and systems, and how they will drive change in every industry and organization.

Building off a rigorous core curriculum, the W. P. Carey MS-ISM offers specializations to deepen your problem-solving and leadership skills. Choose a focus in big data, tech consulting, or cloud to add greater depth to your degree and to align your degree to your career goals, whether you want to advance in your current organization or prepare yourself for new opportunities. Additional concentrations will be added as the market demands.

MS-ISM core course descriptions

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.

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.

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.