University of North Dakota

What you'll study

This PhD programme combines advanced coursework, research seminars and an original doctoral dissertation. The curriculum typically begins with foundational courses in research methods and statistics, followed by core studies in management and operations. Students tailor their programme through electives and seminars that reflect their research interests and form the basis for their dissertation.

• Core research methods: advanced quantitative methods, econometrics, multivariate statistics, and qualitative research design.
• Management theory and organisational studies: organisational behaviour, strategic management, leadership theory, and organisational change.
• Operations and analytics: operations management, supply chain management, production planning, service operations, and business analytics/decision sciences.
• Doctoral seminars and electives: topics seminars in areas such as innovation and entrepreneurship, human-resource strategy, project management, sustainability in operations, and empirical microfoundations of firm behaviour.
• Teaching and professional development: pedagogy workshops, teaching practicum, grant-writing seminars and academic publishing workshops to prepare students for academic careers.
• Dissertation: independent, original research under faculty supervision leading to a dissertation that contributes to theory and/or practice in management and operations.

Entry requirements

Applicants are expected to hold a relevant master's degree or equivalent in business, management, economics, engineering, or a closely related discipline, with a strong academic record. Demonstrated quantitative aptitude is important given the programme's methodological emphasis.

• Official transcripts from previous higher-education institutions.
• A research statement or proposal outlining proposed areas of doctoral research and fit with departmental strengths.
• Curriculum vitae detailing academic and professional experience.
• Letters of recommendation—typically two or three—from academic or professional referees who can speak to the applicant's research potential.
• Graduate admissions test scores (GMAT or GRE) may be required or recommended; requirements can vary by applicant background.
• Proof of English language proficiency for applicants whose first language is not English (e.g., TOEFL or IELTS) as set by the university.
• Interview with faculty may form part of the selection process to assess fit and research readiness.

Career prospects

Graduates of the PhD in Business Administration (Management and Operations) pursue a range of careers in academia and industry. The programme is structured to prepare students for research-intensive roles as university faculty and for leadership positions where deep analytic and research skills are valued.

• Academic careers: tenure-track faculty positions in management, operations, supply chain, business analytics and related fields; postdoctoral research appointments.
• Industry research and leadership: roles in corporate strategy, operations leadership, supply chain management, and data-driven decision-making in manufacturing, healthcare, logistics and energy sectors.
• Consultancy and policy: specialist consultancy, applied research for industry, and advisory roles in public or private sector organisations focussed on operations, process improvement and organisational change.
• Research organisations and think tanks: positions conducting applied and theoretical research for non-profit, governmental and private research centres.

Why study at University of North Dakota

The University of North Dakota offers a doctoral environment with close faculty supervision, opportunities for interdisciplinary collaboration and connections to regional industries. The Nistler College of Business & Public Administration supports doctoral students with research mentoring, access to analytic resources and a collegial cohort model that fosters peer learning.

• Faculty expertise spanning operations research, supply chain management, organisational behaviour and business analytics, enabling supervision across a range of management and operations topics.
• Research facilities and resources, including access to university data services, statistical software and collaboration opportunities with other departments such as engineering and public affairs.
• Opportunities for funded assistantships and teaching experience that develop both research and pedagogical skills.
• Strong regional and industry links that facilitate applied research projects, internships and partnerships with organisations in logistics, energy, healthcare and manufacturing.