Department of Industrial Engineering
4207 Bell Engineering Center
1 University of Arkansas
Fayetteville, AR 72701
Phone: (479) 575-3156
Fax: (479) 575-8431
Graduate Students
Industrial Engineering Graduate Student Options
For students pursuing graduate studies in the field of industrial engineering we offer three options:
The Department of Industrial Engineering at the University of Arkansas has a strong and diverse master's program that provides opportunities for study in specific areas in industrial and systems engineering, as well as general master’s study. Thesis, non-thesis and project tracks are available for all students. Master’s graduates can select a plan that leads to advanced study at the Ph.D. level, or one that prepares them to challenging positions in the public or private sectors. Prospective Master’s students should have a strong academic background that is commensurate with their desired field of study within the department.
The Master of Science in Operations Analytics program is an intensive program that will guide students through the theory and practice of the quantitative modeling of enterprise operations via descriptive, predictive, and prescriptive analytics. Students will develop knowledge of the principles and practices of analytics modeling methods, such as optimization, statistical modeling, machine learning, simulation, and computing methods, as they apply to the strategic, operational, and tactical control of operations.
The Department of Industrial Engineering at the University of Arkansas has a reputation as one of the top Ph.D. programs. This reputation stems from the cutting-edge research conducted here and by the collaboration of a strong and experienced faculty with the top graduate students in the field. Doctoral students in industrial engineering experience rigorous academic study, requiring independent investigation that results in original scholarly work of the highest quality. Graduates are well prepared for positions in both academia and the private or public sector. Prospective Ph.D. students should have a strong academic background that is commensurate with their desired field of study within the department.
Research areas of emphasis include:
- Reliability, Maintainability, & Quality Engineering
- Transportation, Logistics, & Distribution
- Healthcare Systems Engineering
- Manufacturing & Automation
- Engineering Management
- Big Data and Data Analytics
Prerequisites and Requirements for admission
Resources for Prospective Students
International Student Information (From the Graduate School)
Industrial Engineering Graduate Course Descriptions
Frequently Asked Questions (International Admissions Office)