Doctor of Philosophy in Industrial Engineering
About This Program
Doctor of Philosophy in Industrial Engineering ( MS Entry) is designed for advanced graduate students who wish to advance their careers in research and development in industry, government, or academia.
A student's program will consist of coursework, independent study, and a dissertation in a field pertinent to the student's areas of interest. The program for each student will be planned by the student and a committee of faculty members.
Students with undergraduate degrees in fields other than engineering may be required to take necessary courses to establish a background in science, mathematics, and engineering.
Competencies
- Upon completion, students will demonstrate a comprehensive mastery of the theoretical concepts in industrial engineering.
- Upon completion, students will be able to use and develop techniques and tools in industrial engineering.
- Upon completion, students will appreciate the need for ethical and professional behavior.
- Upon completion, students will be able to work, communicate, and lead teams effectively.
Admissions Criteria
The doctoral program in Industrial Engineering is available to applicants that satisfy at least one of the following:
- A completed MS degree in Engineering or Science;
- U.S. citizenship or permanent residency with a completed a BS degree in Engineering from an ABET-accredited program.
Unconditional Admission
Unconditional admission may be granted if all of the following conditions are met.
- A GPA of at least 3.0 in the last 60 hours of undergraduate coursework.
- A GPA of at least 3.3 in all prior graduate coursework, if any.
- A minimum score of 155 on the GRE Quantitative section and a minimum score of 305 for the GRE Quantitative and Verbal sections combined.
- For applicants whose native language is not English: All students admitted in the program must meet the minimum university English language requirements as detailed in the general admission requirements section of the catalog.
Remedial course work may be required if an applicant does not have sufficient engineering or science background.
Probationary Admission
Prospective students not meeting the conditions for unconditional admission may be granted probationary admission if their qualifications indicate a potential for success. Deficiency coursework may be required. Satisfying all deficiency requirements and maintaining a GPA of at least 3.0 in each of their first two semesters of graduate work may clear probationary status.
Curriculum
Foundations (Common Core) | ||
IE 5301 | INTRODUCTION TO OPERATIONS RESEARCH | 3 |
IE 5304 | ADVANCED ENGINEERING ECONOMY | 3 |
IE 5318 | APPLIED REGRESSION ANALYSIS | 3 |
Breadth Courses | ||
Select at least 3 and up to 12 hours from IE Applications and at least 3 hours from any other category. At most 3 hours per category may be counted toward the Breadth Courses requirement. | 15 | |
IE Applications | ||
QUALITY SYSTEMS | ||
SIMULATION AND OPTIMIZATION | ||
PRODUCTION AND INVENTORY CONTROL SYSTEMS | ||
METRICS AND MEASUREMENT | ||
Manufacturing Systems and Logistics | ||
PRODUCTION SYSTEMS DESIGN | ||
PLANNING AND CONTROL OF ENTERPRISE SYSTEMS | ||
ENTERPRISE ENGINEERING METHODS | ||
ENTERPRISE ANALYSIS AND DESIGN | ||
AUTOMATION AND ADVANCED MANUFACTURING | ||
LOGISTICS TRANSPORTATION SYSTEMS DESIGN | ||
LOGISTICS DISTRIBUTION SYSTEMS DESIGN | ||
PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN | ||
FACILITIES PLANNING AND DESIGN | ||
INDUSTRIAL APPLICATIONS | ||
Human Factors | ||
SAFETY ENGINEERING | ||
INDUSTRIAL BIOMECHANICS | ||
INDUSTRIAL ERGONOMICS | ||
COGNITIVE SYSTEMS ENGINEERING | ||
HUMAN ENGINEERING AND COMPLEX SYSTEMS | ||
Advanced Analytics | ||
LINEAR OPTIMIZATION | ||
DYNAMIC OPTIMIZATION | ||
QUEUEING THEORY | ||
STOCHASTIC PROCESSES | ||
DECISION ANALYSIS | ||
ADVANCED STATISTICAL PROCESS CONTROL AND TIME SERIES ANALYSIS | ||
NONLINEAR PROGRAMMING | ||
COMBINATORIAL OPTIMIZATION | ||
DESIGN OF EXPERIMENTS | ||
RESPONSE SURFACE METHODOLOGY AND COMPUTER EXPERIMENTS | ||
DATA MINING & ANALYTICS | ||
Systems Engineering/Engineering Management | ||
MANAGEMENT OF KNOWLEDGE AND TECHNOLOGY | ||
TECHNOLOGY DEVELOPMENT AND DEPLOYMENT | ||
INTRODUCTION TO SYSTEMS ENGINEERING | ||
REQUIREMENTS ENGINEERING | ||
SYSTEMS ARCHITECTURE & DESIGN | ||
MANAGEMENT OF COMPLEX SYSTEMS | ||
ENGINEERING MANAGEMENT I | ||
ENGINEERING MANAGEMENT II | ||
Depth Courses | ||
Select at least 24 hours of additional graduate coursework relevant to the dissertation topic, as determined by the supervising committee. | 24 | |
Research Hours | ||
Select at least 9 hours of independent research from the following | 9 | |
RESEARCH IN INDUSTRIAL ENGINEERING | ||
RESEARCH IN INDUSTRIAL ENGINEERING | ||
RESEARCH IN INDUSTRIAL ENGINEERING | ||
RESEARCH IN INDUSTRIAL ENGINEERING | ||
RESEARCH IN INDUSTRIAL ENGINEERING | ||
Dissertation | ||
Select at least 9 hours from the following: 1 | 9 | |
DISSERTATION | ||
DISSERTATION | ||
DISSERTATION | ||
DOCTORAL DEGREE COMPLETION | ||
Total Hours | 66 |
- 1
IE 6399 may not be taken in the graduating semester, and IE 7399 may only be taken in the graduating semester.
Up to 30 hours of graduate-level organized coursework may be waived to meet any of the above organized coursework requirements. Waived courses must meet the approval of the graduate advisor and the student’s supervising professor.
Program Completion
Continuation
In order to continue in the program toward graduation, each graduate student must:
- Maintain at least a 3.0 overall GPA in all coursework taken as a graduate student and in the program, and
- Demonstrate suitability for professional practice.
If questions are raised by graduate faculty regarding either of the above, the student will be notified and will be provided the opportunity to respond to the Committee on Graduate Studies in the Department. The Committee on Graduate Studies will review the student's performance and make a recommendation concerning the student's eligibility to continue in the program. Appeal of a decision on continuation may be made through normal procedures outlined in the section of this catalog entitled "Grievances Other than Grades."
Advising Resources
New M.S. Students will attend a departmental orientation and receive advising for first-semester courses. Fast-Track M.S. Students must talk to an M.S. program advisor when enrolling at the beginning of each semester. New Ph.D. students will receive email communications from the Ph.D. program advisor on course requirements, course waivers, diagnostic exam, and other policies as appropriate. Students are welcome to contact program advisors via email with any questions.
Location:
420 Woolf Hall
Email:
imseinfo@uta.edu
Phone:
817-272-3092