Business Administration (PhD) - Information Systems for Data Science Track

Program Requirements

Complete a minimum of 54 credits from at least 15 courses including two core courses, nine track courses, three electives, and twelve credits of dissertation research.

Doctoral candidacy: Pass a qualifying exam taken at the end of the second year.
Dissertation: Compose and defend a dissertation based on original research.
Project: Complete a summer project.

Statute of limitations: Eight years.

Course Requirements

Core Courses (6 Credits)

BUSADM 700 - Business in Context: Markets, Technologies, Societies 3 Credit(s)
BUSADM 775 - Professional Development Workshop - Doctoral Teaching 3 Credit(s)

Track Courses (27 Credits)

BUSADM 740 - Information Systems Theory I: Behavioral and Group Perspectives 3 Credit(s)
BUSADM 741 - Information Systems Theory II: Organizational and Economic Perspectives 3 Credit(s)
BUSADM 742 - Regression Analysis 3 Credit(s)
BUSADM 743 - Decision and Risk Analysis 3 Credit(s)
BUSADM 744 - Quantitative Research Methods in Information Systems 3 Credit(s)
BUSADM 745 - Multivariate Statistics 3 Credit(s)
BUSADM 780 - Advanced Data Mining and Predictive Modeling 3 Credit(s)
BUSADM 782 - Optimization for Data Science 3 Credit(s)
BUSADM 785 - Big Data: Management, Analytics, and Applications 3 Credit(s)

Core Electives (9 Credits)

Complete three additional courses chosen with faculty advisor approval.

Dissertation Research (12 Credits)

BUSADM 899 - Dissertation Research 1 - 12 Credit(s)