Purdue University

Overview

The PhD in Management Information Systems (MIS) at Purdue University is designed to cultivate researchers equipped to address significant questions in information systems and technology. This program emphasizes rigorous analytical and empirical methodologies, enabling students to establish a solid foundation in MIS scholarship while honing their teaching abilities and contributions to academic communities.

What you'll study

Curriculum focus: The MIS PhD curriculum is tailored to enhance research capabilities in information systems and technology. It includes coursework that emphasizes both methodological training and domain expertise.

• AI Transformations
• Business Models
• Causal Inference
• Collaborative Technologies
• Computational Models of Human Behavior
• Data Science

Learning organization: The program comprises required and elective graduate courses, active research participation alongside faculty, and progression towards dissertation research under the guidance of a supervisory committee. Opportunities for teaching experience may be available through graduate assistant roles, fostering skills in both graduate- and undergraduate-level instruction.

Dissertation: The culmination of the program is a dissertation grounded in original research in MIS, developed with faculty mentorship, and aimed at contributing novel insights to the field.

Entry requirements

Applicants are generally expected to possess a strong academic record, including a minimum GPA of 3.0 on a 4.0 scale. Additional requirements may include relevant coursework, research experience, and letters of recommendation.

Career prospects

Graduates of the PhD in Management Information Systems program are prepared for a variety of career paths, including academic roles in research and teaching, positions in government and industry focusing on information systems strategy, and consultancy roles that leverage their expertise in technology and management. The skills acquired through this program enable graduates to address complex challenges in the field and contribute significantly to advancements in information systems and technology.