College of Business
Logistics and Supply Chain Management
Graduate opportunities—The Doctor of Philosophy
The Doctor of Philosophy degree in Business with a concentration in Complex Logistics Systems opens opportunities to pursue an academic career or to become a professional researcher analyzing logistics and supply chain management. Students choose the logistics concentration for the following reasons:
1. We want you to be successful: Once we select a student for our program we want you to be successful, if you do your part we will strive to ensure you achieve your goals. Our goal is to see you succeed.
2. We will give you the tools to be successful in research: Two major knowledge bases are essential for academic success. The first is to understand the theoretical domain. The second is a strong grasp of research methods. Our PhD program is based upon providing our students an outstanding comprehension of both theory and methods.
3. We will provide the tools needed to excel in the classroom: Our PhD is part of a broad program to support UNT’s emergence as a top research university and a top ranked Logistics program. At the same time we are firmly rooted in UNT’s century old tradition as a world class teaching school. Although we have an invigorated quest for high quality research – teaching remains at the core of our DNA.
We measure success based on the quality of the education provided to our students, the publications the students have when they graduate, and the strong placement of our students upon graduation. We also have tremendous industry contacts. For a doctoral student this is important because the risk associated with your ability to gain data to support your class research projects and dissertation is lowered. Secondly, our faculty is well published and works to teach the students these skills. Armed with fresh data, and faculty mentors, we will provide you a foundation for publishing success before you leave the program.
Academic Program
Ph.D. degree (students with Master’s degree)
- 12 – 18 hours of research track courses
- 27-33 hours of major and minor areas
- 12 hours of pre-dissertation
- 12 hours of dissertation
Research Methods, Measurement and Metrics Courses
Students will take fifteen (15) credit hours in research courses with Ph.D. students in the College of Business. This provides students with an opportunity to interact with students studying across business disciplines and an opportunity to obtain necessary knowledge, skills and experiences for critical inquiry into marketing theory, methods and practices.
BUSI 6220. Applied Multivariate Statistics I. (3 hours)
BUSI 6240. Applied Multivariate Statistics II. (3 hours)
BUSI 6280. Applications in Causal & Covariance Structure Modeling. (3 hours)
BUSI 6450. Business Research Methods (3 Hours)
BUSI 6480. Advanced Issues in Research Design (3 hours)
Logistics Seminar Courses
LSCM 6010. Theoretical Foundations of Logistics
LSCM 6020. Evolution of Supply Chain Theory
LSCM 6030. Theory of Logistics Systems
LSCM 6040. Modeling and Analysis of Logistics Systems
Logistics Major Supplemental 9-12 hours*
DSCI 5240. Data Mining
DSCI 5250. Statistical Techniques in Simulation
DSCI 5320. Quality Control
FINA 6016. Corporate Finance
ECON 5600. Mathematical Economics
ECON 5650. Advanced Econometrics
ECON 5670. Applied Econometrics
LSCM 6600. Special Topics in Logistics Systems
LSCM 6900. Special Problems in Logistics Systems
MATH 5810. Probability
MKTG 6010. Marketing Thought
MKTG 6030. Marketing Theory
MKTG 6040. B-to-B Marketing
MKTG 6080. Qualitative Research Methods
MSCI 6000. Theory & App Nonparametric Stats
MSCI 6710. Theory & App of Stochastic Modeling
MSCI 6740. Theory & App of Operations Research
PADM 6025. Institutional Context of Public Administration
PADM 6110. Public Management
PADM 6400. Public Financial Policy and Admin
PADM 6615. Environmental Planning and Hazards
PADM 6620. Challenge of Disaster Response
PADM 6630. Technological Hazards
PADM 6710. Seminar in Public Administration & Management
SOCI 6900. Qualitative Research Methods
*Student and advisor will pick 3 to 4 classes based upon research direction and sponsored projects. Classes in the minor tracks that are not used in the minor may be considered as part of the major.
Minor Option A - Logistics Decision Making (9 hours)
DSCI 5210 - Model-Based Business Intelligence
DSCI 5240 - Data Mining
DSCI 5340 - Predictive Analytics and Business Forecasting
Minor Option B - Logistics Modeling (9 hours)
MSCI 6750 Management Science Seminar (Math Stat I)
MSCI 6750 Management Science Seminar (Math Stat II)
DSCI 5240 - Data Mining OR
DSCI 5250 - Statistical Techniques in Simulation OR
DSCI 5320 - Quality Control
Minor Option C – Other (9 hours)
3 doctoral courses in a minor chosen by the student such as Public Affairs, Economics, Sociology
Dissertation Research (24 Hours)
LSCM 6940 Pre-Dissertation (12)
LSCM 6950 Doctoral Dissertation (12)
Ph.D. degree (Students without Master’s degree)
Based upon a holistic review of a student’s record, there are instances when we will admit students into the Ph.D. program directly from an undergraduate program. The preference is that the students have some work experience, but that determination will be based upon a holistic decision by the doctoral committee. Such admission to the Ph.D. is provisional based upon completing a master’s degree along the path to completing the Ph.D. program. This track may be appropriate for selected students who are highly qualified or for students sponsored by organizations / nations that do not have a master’s degree requirement for a Ph.D., (e.g., Doctor of Engineering (D-Ing EU), and other types of degrees). Students in this program will complete the following
- 30 hours of graduate courses to complete the masters requirement
- 12 – 18 hours of research track courses
- 27-33 hours of major and minor areas
- 12 hours of pre-dissertation
- 12 hours of dissertation
The Logistics Systems Ph.D. is supported by an interdisciplinary faculty, those faculty include:
Dr. Pamela Donovan, Assistant Professor, University of Maryland. Logistics; transportation management; air cargo; aviation management.
Dr. Ted Farris, Professor, Ohio State University. Supply chain mapping; “real” options in supply chain management; cash-to-cash; transportation regulation; public policy.
Dr. Shailesh S. Kulkarni, Associate Professor. Supply Chain Networks, Stochastic Models in Operations, Humanitarian Logistics, Risk Modeling and Real Options Analysis
Dr. Ila Manuj, Associate Professor, University of Tennessee. Supply chain risk management.
Dr. Praveen Maghelal, Assistant Professor, Texas A&M University. Infrastructure planning; transport planning; research methods; geographic information systems; disaster management.
Dr. David R. Nowicki, Associate Professor, University of Wisconsin - Madison. Supply chain management; performance based logistics; resiliency, optimization, affordability, inventory modeling, and reliability theory
Dr. Terry Pohlen, Associate Professor, Ohio State University and Director for the Center for Logistics Education & Research. Supply chain performance and costing; transportation pricing; financial management; inventory management; transportation management; network design and optimization.
Dr. Victor R. Prybutok is a Regents Professor of Decision Sciences in the Information Technology and Decision Sciences Department and Associate Dean of the Toulouse Graduate School at the University of North Texas. He has authored over 130 journal articles, more than 120 conference presentations in applied and theoretical areas of information systems measurement, quality control, risk assessment, applied statistics, and the instruction of statistics.
Dr. Wesley Randall, Associate Professor, University of North Texas. Supply chain management; service dominant logic; performance based logistics; aviation management; public private partnerships.
Dr. Brian Sauser, Associate Professor, Stevens Institute of Technology. Complex logistics systems; systems engineering management; management of complex systems; system of systems
Dr. Denise Perry Simmons, University of North Texas. Asst. Vice President, Research Development; Adjunct Research Associate Professor, Biological Sciences; cancer drug design, molecular modeling, mechanisms of carcinogenesis, health disparities and policy, academic partnerships and economic growth
Dr. David Strutton, Professor, University of Mississippi. B2B Marketing, Marketing Channels, Negotiations/Conflict Resolution, Relationship Management/Relationship Marketing, Leadership/Impression Management, E-Marketing (Internet Marketing); Advertising/ Advertising Management (particularly in a Social Networking Context).
Dr. Kenneth Thompson, Professor, University of Colorado. B2B Marketing, Marketing Management, Consumer Behavior, Branding and Brand Management, B2B Pricing, Relationship Management, Sales and Sales Management.
