The Systems and Industrial Engineering Department at the University of Arizona is dedicated to preparing students, advancing knowledge and providing service to improve the quality of life in our diverse and increasingly technological world. The departmental mission is to:
• Provide high quality education, and a basis for lifelong learning of the engineering and scientific knowledge required for analysis, design, improvement, and evaluation of integrated systems of people, computers, material, and equipment - as embodied in the disciplines of industrial engineering, operations research, systems engineering, and like fields.
• Lead in research in key areas within the discipline, with particular relevance to systems of strategic importance to the state and the nation such as manufacturing, telecommunications, transportation, health-care, service, and environmental systems.
• Provide professional service and academic leadership in the disciplines of the Systems and Industrial Engineering Department, within the university, industries, governmental agencies, private and public organizations, and professional societies. The SIE department offers degrees at all levels: MS and PhD, as follows: Degrees Offered through SIE Degree Major MS Industrial Engineering Systems Engineering PhD Systems and Industrial Engineering
Each student enrolled in an MS degree program is expected to gain in depth
knowledge within a particular area of study and complementary knowledge
from a related area of study, as defined by the student’s primary and secondary areas
Industrial Engineering students are required to complete
coursework in statistics, linear programming, and either production or manufacturing
Systems Engineering students are required to complete coursework in the systems
engineering process, linear systems theory and system design.
The SIE faculty offer a wide range of graduate level course work, in addition to the primary areas of Industrial Engineering, and Systems Engineering.
For example, a student’s secondary area of concentration may include
experimental design, robotics, network design, operations research, optimization,
• PhD Program
The doctoral program is designed for those students wishing to pursue
research at an advanced level.
SIE PhD students complete a common set of courses
in statistics, probability modeling, optimization, and systems theory.
These topics provide the fundamental basis for advanced study and research in Systems and
Industrial Engineering. These courses provide the basis for the PhD qualifying exam.
The research programs of SIE PhD students, taken as a group, cover a breadth of
topics central to the SIE discipline.