Rochester Institute of Technology

What you'll study

The programme emphasises rigorous research training in management and operations, combining foundational coursework, research methods, and an original dissertation. Early-stage studies typically cover micro- and macro-level theories of organisations, advanced statistics and econometrics, research design, and specialised courses in areas such as operations management, supply chain logistics, service operations, operations strategy, information systems, business analytics, and organisational behaviour.

Typical components include:

• Core seminars in management theory, research methods, and quantitative modelling.
• Advanced methods courses in multivariate statistics, longitudinal data analysis, structural equation modelling, and causal inference.
• Specialist electives aligned with faculty expertise—examples include supply chain analytics, simulation modelling, service operations, innovation and entrepreneurship, human resource analytics, and socio-technical systems.
• Research practicum and seminars that develop presentation skills, peer review, and collaborative research projects.
• Comprehensive examinations to demonstrate mastery of core domains, followed by a dissertation proposal and an original doctoral dissertation under faculty supervision.
• Teaching and professional development opportunities, including teaching assistantships, pedagogical training, and workshops on grant writing and academic publishing.

Entry requirements

Applicants are normally expected to hold a relevant master's degree or equivalent from an accredited institution; exceptional candidates with a strong bachelor’s degree and demonstrated research experience may also be considered. Admissions emphasise research preparedness and fit with departmental faculty. Typical expectations include:

• Academic record: Strong undergraduate and graduate transcripts in business, management, engineering, economics, computer science, or a related field.
• Quantitative background: Evidence of quantitative skills through prior coursework in statistics, econometrics, operations research, or mathematics.
• Research experience: Demonstrable research activity such as master's thesis work, research assistantships, publications, or strong research potential described in a statement of purpose.
• Application materials: A detailed statement of research interests, curriculum vitae, academic transcripts, and letters of recommendation from people familiar with the applicant’s scholarly ability.
• Standardised tests and language: Some applicants may be asked to provide GRE or GMAT scores and international applicants must meet English language proficiency requirements; specific requirements may vary by year and by applicant profile.
• Faculty fit: Successful applicants typically demonstrate clear alignment with faculty research interests and availability of potential supervisors.

Career prospects

Graduates of this PhD pursue careers in academia as tenure-track faculty and researchers, teaching at business schools and management departments. The programme also prepares graduates for research-intensive roles in industry, such as analytics and operations research positions, senior roles in supply chain and operations management, strategy and management consultancy, and R&D leadership in technology-driven companies.

Beyond these, alumni frequently take roles in policy institutes, think tanks, and research arms of large organisations where advanced analytical and methodological skills are required. The emphasis on publishing, grant-writing and teaching experience supports competitive placement in a range of academic and practitioner career paths.

Why study at Rochester Institute of Technology

Rochester Institute of Technology offers a doctoral experience that combines applied, industry-connected research with strong theoretical and methodological training. The Saunders College of Business works closely with engineering, computing and design faculties, enabling interdisciplinary research opportunities across supply chain, information systems, and innovation.

Doctoral students benefit from a research-active faculty with diverse expertise, small cohort sizes that allow close mentoring, and numerous opportunities for funded assistantships and teaching experience. RIT’s close ties to regional industry and technology firms provide avenues for applied projects, internships and collaborations that enhance the practical impact of research. Additional advantages include access to specialised labs and data resources, structured professional development for academic careers, and a community committed to translating research into practice.