University of Arizona

USA
6 Scholarships 246 Programs 3 Degree levels
Masters

Master's in Industrial Engineering

Offered at University of Arizona, USA
DegreeMasters
FieldIndustrial Engineering.
B

Cost & earnings at University of Arizona What students borrow here, and what they go on to earn

You borrow $19,620 median federal debt
You repay $223/mo over 10 years
Graduates earn $59,979 10 yrs after entry
Debt clears in 1 yrs of the salary premium
US Department of Education figures See the full breakdown →
B

Industrial Engineering graduates earn a median $83,547 Across 95 US programmes, two years after finishing

See the degree grade →

The Master of Science in Industrial Engineering at the University of Arizona is a graduate programme that develops advanced skills in systems optimisation, manufacturing, supply chains, human factors and data-driven decision making. It suits engineering graduates and professionals seeking technical leadership roles in manufacturing, logistics, healthcare operations, and related industries or preparing for doctoral study.

What you'll study

The MS in Industrial Engineering combines core coursework in systems analysis and optimisation with elective specialisations so you can tailor the degree to manufacturing, service operations, or human-centred systems. Typical core topics include mathematical programming and optimisation, stochastic processes and queuing theory, discrete-event simulation, statistics for engineers, and systems engineering principles.

  • Manufacturing systems: production planning, shop-floor control, automation and advanced manufacturing technologies.
  • Operations research and optimisation: linear and nonlinear programming, integer programming, network models and heuristics.
  • Supply chain and logistics: inventory theory, transportation modelling, distribution network design and supply chain analytics.
  • Quality and reliability engineering: statistical quality control, reliability analysis and design of experiments.
  • Human factors and ergonomics: workstation design, human–machine systems and safety engineering.
  • Data analytics and simulation: Monte Carlo simulation, discrete-event simulation, big-data methods applied to operations.

Students typically choose between a thesis (research) option and a non-thesis (coursework and project) option. The programme includes a combination of lecture courses, lab work and a culminating thesis, project or comprehensive assessment depending on the chosen path. Elective courses allow cross-disciplinary study with areas such as computer science, business analytics, biomedical engineering and systems engineering.

Entry requirements

Applicants are expected to hold a bachelor's degree in engineering, mathematics, science or a closely related discipline. Successful applicants demonstrate a strong quantitative background covering calculus, linear algebra, probability and statistics; prior coursework in basic engineering topics is advantageous.

  • Academic transcript(s) from prior institutions showing undergraduate degree.
  • A statement of purpose outlining academic and career goals and relevant experience.
  • Letters of recommendation (typically two or three) from academic or professional references.
  • A current CV or résumé that highlights engineering experience, projects and technical skills.
  • English language proficiency test scores (such as TOEFL or IELTS) when applicable for international applicants.

Standardised test requirements (for example GRE) and minimum GPA expectations vary by background and are determined by the department; applicants with non-engineering degrees may be advised to take prerequisite coursework before starting the programme. Part-time and online course options may be available for working professionals—check the department for the most current pathway information.

Career prospects

Graduates from the programme move into technical and leadership roles across manufacturing, logistics, consulting, healthcare and technology sectors. Common job titles include:

  • Industrial or manufacturing engineer
  • Process engineer or process improvement specialist
  • Supply chain analyst and logistics engineer
  • Quality engineer and reliability engineer
  • Operations manager and production planner
  • Systems analyst, simulation modeller and data analyst
  • Consultant in operations strategy and continuous improvement

Graduates are also prepared for doctoral study and research careers; the programme’s research and thesis option provides experience in experimental design, simulation and optimisation that feeds directly into advanced research roles or R&D positions in industry.

Why study at University of Arizona

The University of Arizona’s industrial engineering programme is housed within an engineering college with an active research profile in systems engineering, manufacturing, human factors and supply chain modelling. Students benefit from hands-on laboratory facilities, interdisciplinary collaboration across business and engineering, and connections with regional and national industry partners in aerospace, semiconductors, defence and healthcare.

The department emphasises applied research and industry-relevant projects, offering opportunities for internships, capstone projects and collaboration with faculty on funded research. Located in Tucson, the university provides access to a growing technology and manufacturing ecosystem while offering flexible options for on-campus and professionally oriented learners.

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Programme details are indicative and may change — always verify current information with the official university website before applying.