Doctor of Philosophy in Systems and Industrial Engineering 

Where Research Meets Real-World Impact

The PhD in Systems and Industrial Engineering at the University of Arizona is a unique interdisciplinary program. Working closely with leaders in the field, PhD students develop deep expertise in their chosen research area while gaining a strong foundation in systems thinking, optimization methods, and interdisciplinary collaboration. All graduate programs in the Department of Systems and Industrial Engineering are offered on the Main Campus and Online.

The PhD program is a nationally ranked, rigorous degree that prepares students for careers in industry, government, or academia. PhD Alumni have gone on to become influential scholars and trailblazers in their fields. We continue this tradition through our research and continuously evolving curriculum. Our research spans topics including operations research, space systems, manufacturing, cybersecurity, supply chain management, transportation, and model-based systems engineering.

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Why Choose the PhD is SIE?

  • World-Renowned Faculty Mentors: Work alongside internationally recognized faculty whose research is shaping the future of systems and industrial engineering. Our faculty are leaders in their fields, recipients of prestigious national and international awards, and dedicated mentors invested in doctoral student success.
  • Breadth and Depth of Research Opportunities: The SIE PhD offers a rich and diverse research environment spanning areas such as optimization and analytics, data-driven decision making, manufacturing and supply chains, healthcare systems, cybersecurity, transportation, and energy.
  • Strong Methodological and Theoretical Foundations: Doctoral training emphasizes rigorous, science-based methods and analytical frameworks, ensuring graduates develop the depth of expertise required for high-impact research and academic or research-intensive careers.
  • Research with Real-World Impact: PhD research at SIE is closely connected to industry, government, and societal needs, enabling students to translate theoretical advances into practical solutions with measurable impact.
  • Personalized Mentorship and Scholarly Development: Doctoral students receive close, individualized mentorship from faculty advisors and interdisciplinary dissertation committees, supporting their growth as independent researchers, educators, and thought leaders.
  • Supportive and Collaborative Research Community: Join a collegial academic environment that values collaboration, inclusion, and intellectual curiosity, where doctoral students are integral contributors to the department’s research mission.

PhD Plan of Study

Coursework (48 Units)Min. Units
Required Core Courses

Three core courses, one from each core area:

Probability & Statistics

  • SIE 520 Stochastic Modeling I or
  • SIE 530 Engineering Statistics

Optimization

  • SIE 540 Survey of Optimization or
  • SIE 545 Fundamentals of Optimization

Systems Engineering

  • SIE 554A: The Systems Engineering Process or
  • SIE 550 Theory of Linear Systems
     
9 Units
Elective Courses

27 units of SIE-related coursework

  • At least 12 units must be taken from SIE.
  • The remaining 15 units may be taken from SIE or a SIE related domain with approval from the faculty advisor & the Director of Graduate Studies.
27 Units
Minor Courses

12 units of minor coursework

  • All minor coursework (12 units) can come from a single discipline or split between two disciplines (6 units from each discipline).
12 Units
Colloquium and Dissertation Research
ColloquiumSIE 695A Graduate Seminar: Minimum 2 units required2 Units
Dissertation ResearchSIE 920 Dissertation: Minimum 18 units required18 Units

 

Graduate Program Resources

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