University of Michigan

What you'll study

The PhD programme combines foundational coursework, specialised seminars and original research. In the early years you will take core courses that typically include microeconomic theory for business, advanced statistics and econometrics, research design and methods, and behavioural theory relevant to organisations and management. Students follow a structured sequence of seminars in both Management (organisational theory, organisational behaviour, leadership, social networks) and Operations (operations management, supply chain analytics, stochastic models, optimisation) tailored to their chosen area of emphasis.

After completing coursework and qualifying examinations, doctoral candidates develop an independent research agenda under the supervision of faculty advisors and a dissertation committee. Research topics commonly span areas such as strategic decision-making and competitive dynamics, organisation design and culture, operational resilience and supply chains, service operations, and empirical methods for large-scale organisational data. Students typically present work-in-progress at internal seminars and external conferences, and are expected to produce publishable papers prior to completing the dissertation.

• Core coursework: microeconomic foundations, advanced statistics/econometrics, research methods
• Management seminars: organisational behaviour, leadership, social networks, strategy
• Operations seminars: production and service operations, supply chain management, optimisation, stochastic processes
• Research practicum: faculty-led research projects and teaching/TA responsibilities
• Qualifying exams and dissertation research leading to original scholarship

Entry requirements

Applicants are expected to have a strong academic record and evidence of research potential. Typical preparation includes an undergraduate degree in business, economics, engineering, mathematics, statistics, or a related discipline; many applicants also hold a master’s degree. Because the programme emphasises rigorous empirical and theoretical work, successful candidates normally have substantial quantitative background in calculus, linear algebra, probability, statistics and econometrics.

• Academic transcripts demonstrating strong performance in relevant coursework
• Evidence of quantitative skills (coursework, grades, or prior research requiring quantitative methods)
• Letters of recommendation from academic or research supervisors who can speak to research potential
• A research statement outlining interests, prior research or project experience, and fit with faculty
• A current curriculum vitae; writing samples or empirical papers are recommended
• Standardised tests and English language proficiency: check current programme guidance for whether GRE/GMAT or TOEFL/IELTS scores are required, and for minimum acceptable scores

International applicants should demonstrate readiness for doctoral-level study in English and make arrangements for funding and visas as required. Admissions are competitive and based on a holistic review of academic preparation, research fit and potential.

Career prospects

Graduates of the programme most commonly pursue academic careers as tenure-track faculty in business schools, departments of management, operations research, and related disciplinary units. Doctoral training also opens opportunities in research-focused roles outside academia, including positions at policy research institutes, R&D and analytics groups in industry, strategy and operations consulting, and leadership roles in data-driven organisational decision-making.

Typical employer destinations include research universities, management consultancies, technology and manufacturing firms with advanced analytics teams, and interdisciplinary research centres. The PhD equips graduates for roles that require rigorous empirical analysis, theory development and the ability to design and evaluate organisational interventions.

Why study at University of Michigan

The University of Michigan offers doctoral students access to a broad set of resources across the Ross School of Business, the College of Engineering, the Department of Statistics, and social science departments. Faculty in Management and Operations conduct research across a wide range of methodological approaches—behavioural experiments, econometric analysis of field data, optimisation and simulation—providing strong mentorship for diverse research agendas.

Doctoral students benefit from research centres and interdisciplinary initiatives that foster collaboration on applied and theoretical problems, opportunities to work on faculty-led projects, and an environment that supports conference participation and publication. The Ann Arbor campus provides a collegial research community, access to industry partners in the region, and facilities for computational and experimental work that support advanced doctoral training.

Funding and assistantship arrangements are typically available to admitted PhD students; prospective applicants should consult programme admissions materials for current details on funding, mentoring structures and degree timelines.