Information Systems Engineering and Management, M.S.

The 36-semester hour graduate program in Information Systems Engineering and Management (ISEM) is designed to educate the leaders who can plan, architect, integrate, and manage the systems needed to support modern digital enterprises. Graduate studies in ISEM cut across the following three active areas of work:

• Information Systems - the latest technologies and approaches (e.g. web-based components, Artificial Intelligence,  Machine Learning, Deep Learning, Big Data, cloud and on-premise computing, Internet of Things, Blockchain, management science and continuously emerging technologies);
• Systems Engineering - systems thinking and emphasis on holistic systems engineering instead of individual components; with a focus on stakeholders, requirements and enterprise architectures incorporating  people, processes and technologies; and
• Management - strategic planning, strategic management, business strategies, entrepreneurship, planning integration, security, governance, global enterprises, and agile enterprises.

ISEM is a flexible and interdisciplinary program that emphasizes stakeholders, requirements, enterprise architecture, planning and management issues at global levels as well as the technologies and processes that comprise a successful enterprise level information system. These topics are addressed at both technical and management perspectives. An ISEM student may select an individualized concentration that supports flexible, student-driven studies in emerging technologies as well as digital health, digital transformation, entrepreneurship, information security, smart cities, software engineering, IoT, Industry 4.0 and related information system topics.  A student also has the option to select a more specific concentration in Artificial Intelligence, Cloud Computing, Management Science or Blockchain and Cryptocurrency.  

Program Goals

ISEM graduates are able to:

• Analyze the internal and external environments of the enterprise;
• Apply various developed models for strategic decision making;
• Justify information, engineering, and management systems decisions made to address practical, interrelated problems; and
• Construct the design and planning processes for a restructured operation within the firm.