Management Information Systems

Management Information Systems Specialization for PhD in Management 

Understanding the technology and analytics processes underlying change and uncertainty is critical to promoting organizational effectiveness and viability. The curriculum of the Management Information Systems (MIS) specialization explores both emergent topics and traditional information systems (IS) theory and practice. PhD students take several data analytic/quantitative modeling courses, MIS topic area courses, and elective courses in advanced graduate study programs students feel supplement their IS training. 

Most students complete their PhD within four years. Below are the major milestones we expect our students to achieve:

• Year 1: Present original empirical paper and submit to a conference or journal.
• Year 2: Complete comprehensive exams.
• Year 3: Successfully defend research dissertation proposal.
• Year 4: Successfully defend research dissertation.

Curriculum

Year 1: Fall, Spring

• MGMT 581L - Advanced Business Statistics (Analytics I)
• MGMT 600 - Research Methods I
• MIS 600 - Current Topics in Information Systems
• MIS 6XX - Impact of Information Systems on Individuals and Groups Seminar
• LEAD 604 - Advanced Statistics and Data Analytics (Analytics II)
• MGMT 601 - Research Methods II

Year 2: Fall, Spring

• MIS 680B - Impact of Information Systems on Organizations Seminar
• MIS 6XX - Introduction to Machine Learning (Analytics III)
• MIS 6XX - Special Topics in Information Systems
• MGMT 602 - Pedagogy in Management
• Elective I, II, III

Year 3: Fall, Spring

• MGMT 698 - Predissertation Research

Year 4: Fall, Spring

• MGMT 699 - Dissertation Research

Management Information Systems Faculty

The MIS faculty have wide-ranging research interests within the fields of information systems and information technology. Some of their current research interests include: IS governance, IT innovation and security, human-IT interactions, digital healthcare services, e-leadership and communication, virtual teams, and user-generated and web content mining. The faculty have published articles in leading IS journals.