Program type:


On Campus
Est. time to complete:

5 years
Credit Hours:

Develop a scientific understanding of management principles.
The Doctor of Philosophy degree in Business with a concentration in Management Science prepares students to be competent in the development and application of sophisticated quantitative and analytical models. Such models are motivated by the study of complex systems in areas of business including operations management and research, development of empirical models in behavioral science, and the study of specific business processes via stochastic modeling, data mining and predictive analytics.

Want more info?

We're so glad you're interested in UNT! Let us know if you'd like more information and we'll get you everything you need.

Request More Info

Why earn a degree in Management Science Ph.D.?

Marketable Skills
  • Application of standard research methods
  • Conduct and report business research
  • Knowledge of core business disciplines
  • Pedagogical practices
  • Business research communication

Management Science Ph.D. Highlights

With a student body of nearly 8,000 students, the UNT G. Brint Ryan College of Business is one of the largest colleges of business in the nation. Prior to the BLB's construction the college occupied two buildings in their entirety and space in a third.
When you graduate from the G. Brint Ryan College of Business, you join a network of 50,000 alumni. More than 700 of our graduates are CEOs or presidents of organizations.
Our faculty members are outstanding teachers and renowned researchers. They are recognized as thought leaders in the field of information technology and their scholarly works have been published in respected journals.
The Business Leadership Building has Gold-level Leadership in Energy and Environmental Design certification for sustainability — contains 24 classrooms, team study rooms and a modern computer lab.
The G. Brint Ryan College of Business has established several research centers and institutes in collaboration with local industry leaders that provide interdisciplinary forums as well as research support for doctoral students.
UNT’s location opens up a wealth of career, networking and internship opportunities in the Dallas-Fort Worth area, home to the nation’s fourth largest concentration of Fortune 500 companies.

Management Science Ph.D. Courses You Could Take

Applied Multivariable Statistics (3 hrs)
Applications of multivariate statistical procedures involving data reduction techniques and analyzing multidimensional relationships in business research. Topics include multivariate analysis of variance, discriminant analysis, logistic regression, exploratory factor analysis, cluster analysis, multidimensional scaling and conjoint analysis.
Applications in Causal and Covariance Structure Modeling (3 hrs)
Application of CSM techniques to the analysis of behavioral data in business research. “Hands-on” practice using LISREL to examine measurement and structural models containing directly observed and latent variables. Provides a solid working knowledge of how to conceptualize measurement and structural models, the standard LISREL and SIMPLIS syntax for estimating these models, and proper interpretation of LISREL output. LISREL assumptions, limitations, tricks and traps are explored.
Business Research Methods (3 hrs)
Designed to introduce doctoral students to the methods and measurements of business research, including scientific method, research design and measurement. Focus on topics that provide doctoral students with a better understanding of theoretical frameworks used in research. Form and structure of explanations, laws and theories used in research are examined and discussed.
Management Science Seminar (3 hrs)
The primary focus of the course is the mathematical development of statistics used in research. Examples and exercises will be included with an application orientation. The course should greatly enhance one's understanding of the theoretical foundation of statistics, thus enabling students to further their knowledge of statistical procedures
Theory and Application of Nonparametric Statistics (3 hrs)
Analysis of business research data that is categorical or ordinal (ranked or scaled).
Applied Regression Analysis (3 hrs)
Applications of multivariate regression analysis, canonical correlation analysis and nonparametric statistical procedures to issues in business research involving multivariate data. Topics include building, evaluating and validating a regression model; analyzing models using hierarchical regression, contrast coding, partial correlations and path analysis; and comparing parametric and corresponding nonparametric tests.

Learn More About UNT

Watch this video to learn more about what makes UNT great!