The PhD in Business Administration (Management and Operations) at the University of Cincinnati is a research-focused doctoral programme that prepares students for careers in academia and high-level research in management, operations and supply chain. It suits candidates who seek rigorous training in research methods, doctoral-level coursework, and a sustained dissertation on topics such as operations management, supply chain analytics, service operations or organisational behaviour.
What you'll study
The programme blends core doctoral coursework, specialised seminars, empirical methods training and an original research dissertation. Early years focus on foundational subjects and research tools, while later years emphasise independent research and dissertation work.
- Core research methods: advanced econometrics, multivariate statistics, causal inference, applied quantitative methods, and simulation techniques.
- Operations and supply chain topics: operations strategy, production and service operations, inventory and production planning, supply chain design and management, logistics and distribution, and lean and process improvement methods.
- Management and organisational topics: organisational theory, strategic management, innovation and technology management, behavioural operations, and managerial decision making.
- Doctoral seminars: faculty-led seminars on current research, reading groups, and methods workshops that develop the ability to produce publishable research.
- Teaching and professional development: opportunities to gain teaching experience as a graduate instructor, plus workshops on grant writing, pedagogy and communication.
- Comprehensive assessments and dissertation: qualifying examinations or research proposals leading to the dissertation; the dissertation requires original, high-quality research culminating in a public defence.
Entry requirements
Applicants are expected to demonstrate strong academic preparation and clear research potential. Typical requirements include:
- Academic background: a relevant master’s degree is preferred, though outstanding candidates with a strong bachelor’s degree in business, engineering, economics or a related field may be considered.
- Quantitative preparation: coursework or demonstrated competence in statistics, calculus and quantitative methods is important given the programme's empirical emphasis.
- Application materials: a CV, statement of purpose describing research interests, academic transcripts, and three academic or professional letters of recommendation.
- Standardised tests: the programme may consider GRE or GMAT scores as part of the application; consult the department for current testing policy.
- English language proficiency: for applicants whose first language is not English, an accepted English language qualification is generally required.
Career prospects
Graduates typically move into research and teaching positions or research-intensive roles in industry. Common career paths include:
- Faculty positions at universities and business schools, focusing on teaching and publishing in top journals.
- Research scientist or data scientist roles in industry, applying operations research and analytics to supply chain, manufacturing and service problems.
- Senior roles in consulting, operations strategy, process improvement and supply chain management.
- Leadership positions in corporate R&D, policy research organisations or specialised research centres.
Why study at University of Cincinnati
The University of Cincinnati’s PhD programme in Management and Operations is housed in the Carl H. Lindner College of Business, which emphasises research productivity and close faculty–student mentorship. The college has active faculty working in operations, supply chain, analytics and management who publish in leading journals and supervise doctoral research.
- Research environment: access to doctoral seminars, interdisciplinary collaboration across engineering, information systems and economics, and well-established research groups in operations and analytics.
- Applied connections: proximity to a diverse regional business community provides opportunities for applied research projects, industry collaboration and data access for empirical studies.
- Funding and training: graduate assistantships that provide teaching and research experience, along with professional development resources such as grant-writing support and conference travel funding.
- Academic community: a cohort-based doctoral culture with regular workshops, speaker series and peer review that help students refine their research and prepare for academic careers.
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