Master of Science in Industrial Engineering
About This Program
The Master of Science in Industrial Engineering is designed to provide the student with fundamental knowledge in multiple areas of industrial engineering. A student may pursue a broad based degree or they may specialize in a specific area such as general industrial engineering, manufacturing systems, ergonomics/human factors, or advanced analytics/operations research.
Competencies
- Upon completion, students will demonstrate mastery of theoretical concepts in industrial engineering.
- Upon completion, students will able to use techniques and tools important in industrial engineering.
- Upon completion, students will appreciate the need for ethical and professional behavior.
- Upon completion, students will be able to work and communicate effectively in teams.
Admissions Criteria
Unconditional Admission
Students demonstrating the following will be considered for unconditional admission.
- A GPA of at least 3.0 in the last 60 hours of undergraduate coursework.
- A GPA of at least 3.0 in all prior graduate work.
- A minimum score of 155 on the GRE Quantitative section and 146 on the GRE Verbal section.
- A minimum score of 79 on the TOEFL iBT, or a minimum score of 6.5 on the IELTS, if English is not the applicant's native language. International applicants who have successfully completed a bachelors degree or masters degree from an institution in the United States, and are not seeking funding as a Graduate Teaching Assistant are not required to meet this requirement.
- A BS or MS in Engineering or Science.
Remedial course work may be required if an applicant does not have an engineering or science background.
GRE Waiver
Applicants may submit the IMSE GRE Waiver Request form as long as they meet all other admission criteria, they have graduated from an ABET accredited institution, and have a minimum of two years relevant work experience post-degree.
Curriculum
| Foundations | ||
| IE 5301 | INTRODUCTION TO OPERATIONS RESEARCH | 3 |
| IE 5304 | ADVANCED ENGINEERING ECONOMY | 3 |
| IE 5317 | INTRODUCTION TO PROBABILITY AND STATISTICS | 3 |
| IE 5318 | APPLIED REGRESSION ANALYSIS | 3 |
| Application Courses | ||
| Select 4 graduate courses in industrial engineering. | 12 | |
| Thesis or Non-Thesis | ||
| Select one of the following options. | 6 | |
| Non-Thesis | ||
Select 2 graduate courses from the College of Engineering, College of Science, or College of Business with prior approval of advisor. A capstone course, under the supervision of an IE faculty member, may be counted for 1 of these selections. | ||
| Thesis Option | ||
Select 6 hours from the following: | ||
| THESIS | ||
| THESIS | ||
| Total Hours | 30 | |
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 their 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