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Courses / Degree Requirements for the PhD in Management

The following is projected for the 2022-2023 school year and is subject to change

To graduate with a PhD in Management, students must successfully complete:

Forest academy (6 credits)

One Forest Academy course (2 credits) for each semester in which the student is enrolled for at least three blocks (2-4 credits)

Core Management Courses (18 credits)

A review of the classic works in the Organizational Behavior (OB) literature, this course examines the main issues and questions addressed by OB since its inception in the late 1930s, including motivation, small group behavior, leadership, power, and organizational culture and change. Students will develop hypotheses for how expansion of consciousness influences organizational behavior. (2 credits)
An increasing number of organizations are concerned about social and environmental responsibilities in the context of sustainable development, and are interested in developing tools to improve their performance and accountability in these areas. This course introduces students to these issues with emphasis on current research in these fields. The key to sustainable progress is to align individual and collective consciousness with total Natural Law available in the Self of everyone. Topics include: business ethics, stakeholder influences, corporate social responsibility, environmental management, natural capitalism, triple bottom line reporting. (2 credits)
Scientific measurement of individual characteristics provides a research framework for assessing individual and organization development toward higher states of consciousness. Development of the mind toward higher states of consciousness provides the natural foundation for enhancing employee performance, growth of enlightened leadership, and organization transformation toward sustainability. Topics include: the construction and use of valid and reliable assessment instruments. (4 credits)
What are the findings of behavioral sciences regarding effective practices for the transformation of organizations and communities toward sustainable strategies and practices? This course will examine selected research on topics such as the role of human resource management in achieving a firm’s environmental goals, transformational leadership, change management, creativity, cross-boundary collaboration, motivation for performance improvement, individual and team behavior. As individual, organizational, and societal consciousness become more established in the unified field of natural law, sustainable solutions will gain more frictionless implementation. (4 credits)
A cutting edge of research in sustainable management is the development, adoption and validation of systems for measuring and reporting sustainability outcomes. This course reviews current research regarding measures used in “triple bottom line” reporting: financial performance, employee health and wellness, social responsibility, and environmental impact. The course also covers the processes for creating and institutionalizing new standards for performance at the level of the product, plant, firm, and society. (4 credits)
Topics in sustainable management will be chosen according to current research interests of students and faculty. May be repeated Research Methods (1-2 credits)
In quantitative research, a key step is a statistical analysis to discern meaningful patterns in the study data and relationships between variables. This course provides a foundational understanding of statistical concepts and methods for data analysis and interpretation.
Topics include principles of statistical thinking for management research; numerical and graphical tools for describing and analyzing business data; the normal distribution, populations, and sampling; confidence intervals, hypothesis testing; correlation coefficients, and simple linear regression. (2–4 credits) Prerequisite: MATH 152 or the equivalent.
This course provides a conceptual introduction to the multivariate statistical methods most commonly used in management research in order to prepare students to critically read the quantitative management research literature and begin preparation of their own dissertation research proposal. Topics include: review of simple linear regression and correlation, multiple regression, logistic regression, discriminant function analysis, univariate comparison of means (analysis of variance), multivariate analysis of variance, principal components and factor analysis, path analysis and structural equation modeling, and multilevel modeling. (4 credits)
This course examines contemporary procedures of applied multiple regression analysis for business data. Topics include: review of simple regression, hypothesis tests and confidence intervals, modeling nonlinear regression relationships, model specification strategies, diagnostic testing of model adequacy, robust regression, categorical explanatory variables, outliers and influential observations, path analysis, and logistic regression. (4 credits)
This introductory course begins with the logic of causation and correlation in social science. We review the steps of scientific inquiry: literature review, theory development, operationalization and measurement of variables, data collection and analysis, interpretation, and write-up. Experimental and quasi-experimental research designs are treated specifically. Topics include: the types of validity, the “control” of extraneous influences by design or by statistical methods, and the relationship between research design and statistical testing. (4 credits)
Qualitative research is often used in research on complex behavioral systems and in the exploration of a new field of study. Using methods such as participant observation, unstructured interviewing, and the examination of documents, a scholar can form theories that may be later tested by quantitative methods or validated on other samples. Particular attention is given in this course to the methodology of grounded theorizing in multiple case studies and problems of data analysis, interpretation, and generalization. (4 credits)
This course prepares doctoral students to be competent in the conception, organization, writing, and presentation of scholarly works. (2 credits)
This course introduces new MIU faculty to the principles and practices of Consciousness-Based education, with particular attention to the instructional charts that characterize the presentation of knowledge in Consciousness-Based higher education. Topics include the learning cycle of Knowledge-Action-Achievement-Fulfillment, the Course Overview, Unified Field, Main Points and Unity Charts, principles of ideal teaching, and the structure of an effective lesson. (2 credits)

Additional Courses

A student’s faculty advisory committee may require additional coursework as required for the student’s dissertation research.

Qualifying exam and dissertation research (20 credits)

This course provides the time necessary to prepare for the qualifying examination, which demonstrates research competence. It may be in the form of a research proposal, or in another form at the discretion of the program faculty. After successful completion of this examination, students advance to the status of PhD Candidate.(4 credits per block — may be repeated for credit until the qualifying examination is completed)
Having gained doctoral candidacy by completing the comprehensive and qualifying examinations, students prepare a proposal for a doctoral dissertation that is acceptable to their major professor and dissertation committee. (8 credits per semester — may be repeated for credit until dissertation proposal is accepted) Prerequisites: PhD candidate status and consent of the dissertation advisor
Students conduct original research and prepare their dissertations. (8 credits per semester— may be repeated for credit until dissertation is completed). Prerequisites: approved dissertation proposal and permission of the dissertation committee

When the qualifying examination is successfully completed, the student is advanced to PhD Candidate status. When the dissertation proposal is accepted by the faculty, the student is advanced to PhD Researcher status.

The amount of time required to complete the dissertation varies according to the research project. A public oral presentation and defense of the dissertation is required, as is acceptance of the dissertation by the dissertation committee, the Graduate School Director, and the Library Director.

Current class schedule for the PhD in Management