Rochester Institute of Technology

What you'll study

The MS in Industrial Engineering combines core coursework in operations research, quality and reliability, and human factors with applied electives that reflect modern industry practice. The programme emphasises modelling and optimisation of complex systems, data analysis, simulation, and the design of efficient processes and workplaces.

• Core topic areas: deterministic and stochastic optimisation, simulation modelling, probability and statistics for engineers, production and operations systems, quality control and reliability engineering.
• Typical elective subjects: supply chain analytics, lean manufacturing and Six Sigma methods, human factors/ergonomics, healthcare systems engineering, data mining and machine learning for engineers, applied industrial robotics and automation.
• Capstone options: many students undertake a substantial applied project or practicum with industry or campus research groups; there are also thesis options for students who want to focus on research and pursue doctoral study.
• Learning approach: classes combine lectures with hands-on lab work, case studies, and team projects. Students have access to specialised facilities and software used in industry for simulation, optimisation and data analysis.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in industrial engineering, another engineering discipline, mathematics, statistics, computer science or a closely related quantitative field. Admissions consider the overall academic record, the strength of technical preparation, and evidence of quantitative ability.

• Academic transcripts: official transcripts demonstrating undergraduate coursework in calculus, linear algebra, probability/statistics and introductory engineering or computing courses are typically required.
• Supporting documents: a statement of purpose outlining goals and relevant experience, a current résumé or CV, and letters of recommendation from academic or professional referees.
• Standardised tests and English language: requirements for tests such as the GRE vary by applicant profile; international applicants must demonstrate English proficiency through recognised tests unless exempted by prior study in English.
• Relevant experience: while not always mandatory, professional experience in engineering, manufacturing, operations, or analytics can strengthen an application.

Career prospects

Graduates of the programme are prepared for technical and leadership roles that require systems thinking, quantitative analysis and practical problem-solving. The curriculum targets skills that employers value across multiple sectors.

• Production and manufacturing engineer, process improvement specialist
• Operations research analyst, optimisation specialist
• Supply chain analyst and logistics planner
• Quality and reliability engineer, Six Sigma practitioner
• Healthcare systems engineer or clinical process analyst
• Data analyst or machine learning practitioner with an operations focus, technical consultant

Why study at Rochester Institute of Technology

Rochester Institute of Technology combines strong engineering departments with a practical, career-focused culture. The university is known for experiential learning—students benefit from project-based courses, opportunities to collaborate with industry partners, and access to laboratories and computing resources tailored to systems and process engineering.

• Applied learning: emphasis on hands-on projects, capstones and practicums that connect classroom learning to real-world problems.
• Industry connections: proximity to regional and national manufacturing, healthcare and high-tech employers creates opportunities for internships, collaborations and employment.
• Interdisciplinary environment: easy access to expertise across engineering, computing, business and design supports multidisciplinary solutions to operational challenges.
• Flexible programme paths: options for coursework-only, project or research-thesis tracks allow students to tailor study to career or academic goals.