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Management Science Ph.D.
Doctoral Program
Program type:
Major
Format:
On Campus
Est. time to complete:
4 years
Credit Hours:
60
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.
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Request More InfoWhy 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.
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