Doctor of Management Science

This foundational course prepares doctoral candidates to navigate the scholarly landscape of management science. Emphasizing academic integrity and scholarly communication, it introduces the expectations, tools, and mindset necessary for successful doctoral research and professional development. Students will explore the structure of this doctoral program, recognize alignment with their scholarly and professional goals, and develop a research mindset. Prerequisite: Enrollment in the DMS Program

This pioneering course explores the transformative potential of generative artificial intelligence (AI) technologies in management science research and communication. Students will examine the theoretical foundations of AI-assisted research, evaluate the ethical implications of AI use, and develop practical skills using AI tools when writing a dissertation. The course emphasizes critical evaluation of AI-generated content and the maintenance of academic integrity. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Intelligent Management Science: AI Applications for Future Transformation

This doctoral course provides an advanced exploration of leadership theory and its practical application within complex organizations. Students will critically examine classical and emerging leadership models and distributed frameworks. Through the lens of systems thinking, the course connects leadership with strategy, organizational dynamics, and change management. Emphasis is placed on ethical leadership, shaping strategic direction, and the creation of high-impact workplaces. Coursework integrates case studies, scholarly research, real-world applications, data-informed leadership, and evidence-based decision making. Students will develop a leadership improvement plan aimed at fostering organizational effectiveness. This course prepares students to lead with measurable impact and integrity. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Applied Ethics, Governance, and Leadership for Organizations

This advanced course examines the strategic integration of ethical principles and governance frameworks within management science theory and practice. Students explore contemporary challenges in corporate governance, responsible leadership, and stakeholder management. The course provides a critical examination of ethical decision-making frameworks, corporate social responsibility, and the role of management science in addressing societal challenges. Students will analyze ethical dilemmas and governance solutions for complex organizational environments. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Applied Ethics, Governance, and Leadership for Organizations

This doctoral course provides an advanced exploration of leadership theory and its practical application within complex organizations. Students will critically examine classical and emerging leadership models and distributed frameworks. Through the lens of systems thinking, the course connects leadership with strategy, organizational dynamics, and change management. Emphasis is placed on ethical leadership, shaping strategic direction, and the creation of high-impact workplaces. Coursework integrates case studies, scholarly research, real-world applications, data-informed leadership, and evidence-based decision making. Students will develop a leadership improvement plan aimed at fostering organizational effectiveness. This course prepares students to lead with measurable impact and integrity. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Applied Ethics, Governance, and Leadership for Organizations

This course explores the interplay between human behavior in organizations and the processes of strategic change. It integrates multiple perspectives to analyze how individual, group, and organizational dynamics influence planned and emergent change. Students will examine how leaders navigate organizational complexity, resistance, and adaptation, based on contemporary research and theory. By bridging theory with practice, students will be enabled to recognize behavioral patterns, design strategic interventions, and critically assess change outcomes in organizations. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Strategic Leadership, Ethics, and Organizational Governance

This comprehensive course provides doctoral students with a rigorous foundation in the theories and methods that define management science as a discipline. Students explore seminal theories, examine management science frameworks, and analyze the evolution of management science research. The course integrates quantitative and qualitative research traditions, emphasizing the application of scientific methods to complex organizational and managerial problems. Students will develop familiarity with research design, application of theoretical frameworks, and the critical evaluation of management science insights. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Intelligent Management Science: AI Applications for Future Transformation

This doctoral-level course examines advanced concepts in operations management with emphasis on performance measurement, analytics, and diagnostics. Students explore operations strategy, supply chain optimization, quality management, and performance improvement frameworks. The course integrates quantitative methods, digital technologies, and systems thinking to address complex operational challenges. Students will develop competency in operations research methods, performance analytics, and the assessment of high-performance operational systems. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Integrated Strategic and Operations Management in Complex Organizations

This comprehensive course provides a doctoral-level examination of strategic management theory, research, and practice. Students explore strategic planning, competitive analysis, resource-based theory, and dynamic capabilities frameworks. The course emphasizes the integration of multiple theoretical perspectives and the application of strategic concepts to complex organizational challenges. Students will develop competency in strategic analysis, strategic option evaluation, and the design of competitive strategies for diverse organizational contexts. Enrollment in the DMS Program or enrollment in the Certificate in Integrated Strategic and Operations Management in Complex Organizations

This advanced course examines decision-making under uncertainty, risk management frameworks, and crisis leadership strategies. Students explore probability theory, decision analysis, risk assessment methodologies, and crisis management principles. The course emphasizes the development of adaptive leadership capabilities and resilient organizational systems. Students will examine case studies of organizational crises and develop competency in scenario planning, risk mitigation, and crisis response strategies. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Leading Organizational Change in High-Risk and Uncertain Environments

This doctoral course examines innovation processes, technological change, and organizational transformation in dynamic environments. Students explore innovation theory, technology management, and organizational learning frameworks. The course emphasizes the strategic management of innovation, including research and development, technology transfer, and innovation ecosystem development. Students will develop competency in innovation strategy, change management, and the evaluation of transformation initiatives. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Leading Organizational Change in High-Risk and Uncertain Environments

This specialized course explores the application of generative artificial intelligence to research methodology and statistical analysis in management science. Students examine AI-assisted research design, automated data analysis, and intelligent hypothesis generation while maintaining methodological rigor and scientific validity. The course emphasizes critical evaluation of AI research tools and the ethical implications of AI-assisted scholarship. Students will develop competency in integrating traditional research methods with AI technologies to enhance research quality and efficiency. Prerequisite: Enrollment in the DMS Program or enrollment in the Next-Generation Research Methods with Generative AI

This advanced course provides comprehensive training in descriptive analytics and data visualization techniques specifically applied to management science research and practice. Students explore statistical methods for data summarization, pattern recognition, and visual communication of complex datasets. The course emphasizes the selection and application of appropriate analytical techniques and the creation of compelling visualizations that support managerial decision-making and scholarly communication. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Management Science Analytics: Statistical Insight and Evidence-Based Decision Making

This rigorous course advances students' competency in inferential statistics and hypothesis testing for management science research. Students explore advanced statistical methods, including multivariate analysis, regression modeling, and causal inference techniques. The course emphasizes the integration of statistical analysis with data visualization to support evidence-based decision-making and theory development. Students will develop expertise in statistical software applications and the communication of inferential findings to academic and practitioner audiences. Prerequisite: Enrollment in the DMS Program or enrollment in the Certificate in Management Science Analytics: Statistical Insight and Evidence-Based Decision-Making

This advanced doctoral-level course prepares students to design, conduct, and critically evaluate quantitative research for dissertation projects in their field. Emphasizing both theoretical foundations and practical application, the course covers essential topics such as experimental and non- experimental design, hypothesis formulation, data collection strategies, measurement, statistical analysis, and the interpretation and presentation of results. Students will engage in hands-on modeling, use software tools for data analysis, and examine case studies illustrating advanced analytics in action. The course focuses on developing the skills needed to carry out empirical research, justify methodological choices, adhere to ethical standards, and communicate findings effectively to both academic and professional audiences. Prerequisite: Enrollment in the DMS program or enrollment in the Certificate in Advanced Quantitative and Qualitative Research Design

This advanced doctoral course equips students to design, conduct, and critically evaluate qualitative research methodologies for dissertation projects. Integrating methodological theory and hands-on application, the course explores a range of qualitative approaches. Students engage in developing research proposals, collecting and analyzing qualitative data (through interviews, focus groups, observations, and document analysis), and addressing core issues of validity, reliability, ethics, and researcher reflexivity. Assignments provide direct support for advancing dissertation chapters. Emphasis is placed on the scholarly communication of qualitative findings and the defense of methodological choices. By the end of the course, students will be prepared to conduct rigorous, ethically sound qualitative research and to articulate their methodological decisions to academic audiences. Prerequisite: Enrollment in the DMS program or enrollment in the Certificate in Advanced Quantitative and Qualitative Research Design

This course is designed to review the requirements of the dissertation. Extensive detail is provided for the dissertation process and requirements for each chapter to ensure the student can successfully research and write their dissertation to earn the Doctor of Management Science degree. Prerequisite: Enrollment in the DMS Program and successful completion of the first 16 courses: DMS 700A or DMS 700B; DMS 750A or DMS 750B; DMS 760A or DMS 760B; DMS 765A or DMS 765B; DMS 770A or DMS 770B; DMS 775A or DMS 775B; DMS 785A or DMS 785B; DMS 790A or DMS 790B; DMS 795A or DMS 795B; DMS 800A or DMS 800B; DMS 805A or DMS 805B; DMS 810A, DMS 810B, DMS 810C, or DMS 810D; DMS 815A, DMS 815B, DMS 815C, or DMS 815D; DMS 820A, DMS 820B, DMS 820C, or DMS 820D; DMS 825A, DMS 825B, DMS 825C, or DMS 825D; and DMS 830A, DMS 820B, DMS 820C, or DMS 820D.

This foundational doctoral course guides students through the development of Chapters 1 and 2 of their dissertation proposal. Students will craft a well-substantiated research problem, articulate clear research purposes and questions, and select appropriate methodological approaches. Additionally, students will conduct a thorough literature review that integrates relevant theoretical and conceptual frameworks. Emphasizing rigor and scholarly standards, the course prepares students to produce dissertation chapters that meet the expectations of their committees and contribute meaningfully to management science knowledge. Successful completion requires committee approval of Chapters 1 and 2 based on established rubric criteria. Prerequisite: Successful completion of DMS 900A or DMS 900B

This intensive doctoral course provides advanced training in developing rigorous research methodologies and producing comprehensive dissertation proposals. Students will learn to select and justify appropriate research designs, develop detailed data collection protocols, and plan effective analytical strategies that directly address their research questions. Emphasis is placed on ensuring methodological rigor, aligning research methods with theoretical frameworks, and critically examining ethical considerations, especially those involving human subjects. By the end of the course, students will assemble a formal dissertation proposal, comprising a committee-approved Chapters 1, 2, and 3 of the dissertation and all required appendices, demonstrating their readiness for independent doctoral research. Prerequisite: Successful completion of DMS 910A, DMS 910B, DMS 910C, or DMS 910D

This course guides doctoral students through the complete research pipeline from ethics compliance to dissertation reporting. Students earn CITI certification in Protection of Human Subjects, prepare and submit an IRB application, and collect data in accordance with their approved protocol. With data in hand, students apply rigorous analytical techniques appropriate to their research design, interpret findings within their theoretical framework, and complete Chapters 3 and 4 of their dissertation, synthesizing results, articulating scholarly and practical implications, and proposing recommendations for future research. Advanced scholarly writing and oral communication are emphasized throughout. Successful completion requires CITI certification, formal IRB approval, a completed data collection verification form, and committee approval of Chapters 3 and 4 meeting rubric standards. Prerequisite: Successful completion of DMS 920A, DMS 920B, DMS 920C, or DMS 920D

This doctoral capstone course guides students through the final phase of their dissertation journey, culminating in the completion of Chapter 5, the full Dissertation Manuscript, and the Oral Defense. Students will articulate the implications, conclusions, and recommendations of their study in Chapter 5, and integrate all previous chapters into a cohesive and scholarly dissertation that demonstrates original contributions to management science knowledge. The course emphasizes the synthesis of research findings, preparation for the oral defense, and effective response to committee feedback. Successful completion of the course requires a committee-approved Chapter 5, a committee- approved finalized Dissertation Manuscript, and a passing Oral Defense as evaluated against established rubric standards.This doctoral capstone course guides students through the final phase of their dissertation journey, culminating in the completion of Chapter 5, the full Dissertation Manuscript, and the Oral Defense. Students will articulate the implications, conclusions, and recommendations of their study in Chapter 5, and integrate all previous chapters into a cohesive and scholarly dissertation that demonstrates original contributions to management science knowledge. The course emphasizes the synthesis of research findings, preparation for the oral defense, and effective response to committee feedback. Successful completion of the course requires a committee-approved Chapter 5, a committee- approved finalized Dissertation Manuscript, and a passing Oral Defense as evaluated against established rubric standards. Prerequisite: Successful completion of DMS 930A, DMS 930B, DMS 930C, or DMS 930D