Doctoral Dissertation Section

  • QST DS 850: Management Internship
    This course is designed to accommodate students interning with an organization that requires that they receive credit for the internship experience.
  • QST DS 906: Fundamentals of Research and the Philosophies of Science (previously MK912)
    This course focuses on the philosophy of science and the practice of business academics. It develops an understanding of where the study of business falls within the philosophy of science. After reviewing the historical underpinnings of scientific theory development and scientific methodology, it compares and contrasts different approaches to business scholarship from empiricism to post modernism and examines what it is that makes some research interesting and important. Although some of the examples will be taken from the marketing literature, the inquiry will be broad enough to accommodate all business disciplines. The second half of the course is devoted to an examination of how theory is developed and can be evaluated, as well as an exploration of the many different approaches to empirical research including the requirements of, and threats to, the various forms of validity inherent in each. A portion of the class includes involvement in research seminars, participation with the Universities seminars on research compliance and participating in ongoing research as a research assistant
  • QST DS 907: Teaching, Publishing, and Dissemination of Knowledge
    As scholars, doctoral students will be responsible for both conducting research in their chosen field and disseminating knowledge through publishing and teaching. This course prepares participants to be successful in converting research into publications and provides a foundation for designing and delivering educational offerings in a variety of settings.
  • QST DS 909: Tls Tchng Mgmt
  • QST DS 911: Seminar in Macro Organizational Theory
    This doctoral-level course is an introduction to the major theoretical approaches and ongoing debates in organizational theory, an inter-disciplinary subject area that draws on several traditions, including economics, political science, psychology, and sociology. Organization theory aims to explain the origins, persistence, and disappearance of the organizations that are central to our society and daily life (e.g., firms, markets, governments, occupations, non-profit organizations, and more). We will start with the classics and then trace the history of ideas as the field has evolved to its present state. The purpose of this course is to provide a roadmap to navigate the terrain of organizational theory and guide students as they generate original research ideas. (Cross-listed as GRS SO716).
  • QST DS 913: Experimental Design and Methods
    This course provides an introduction to research methodology applicable to marketing and other related fields. The course will survey the major research methodologies used in marketing and social psychology, and will focus on both theoretical and practical considerations of research methods. This is not a statistics course (though an introduction to basic principles is part of the course). The purpose of the course is to give students the background to choose the methods that are most appropriate for their area of study, helping them to anticipate the shortcomings and problems they will encounter executing their chosen methodologies, and to defend their methodological choices against criticism in their interactions with investigators from allied and not-so-allied disciplines.
  • QST DS 919: Machine Learning Method for Social Science Research
    This course aims to introduce PhD students in Management to Machine Learning methods with an emphasis on their application in social science research. The first half of the course discusses popular predictive models (regression models, SVM, tree-based methods, etc) and related concepts. The second half discusses graphical models to develop and estimate probabilistic models. The course will have a set of programming/estimation assignments based on recent relevant papers and one final exam. By the end of the course, students will be equipped to spot a machine learning problem in their line of research, specify a model for it, and estimate and evaluate it.
  • QST DS 925: Methods for Causal Inference in Strategy Research
    (Formerly SI 915) This course reviews tools and methods for drawing causal inferences from non-experimental data. The class emphasizes conceptual difficulties associated with establishing causality in observational settings, the strengths and weaknesses of statistical methods based on so-called natural experiments, and the practical problems that arise in the application of these tools. This course is designed to complement a traditional two-semester graduate sequence in econometrics.
  • QST DS 999: Doctoral Dissertation Study
    This 2-credit course is a requirement to maintain doctoral student status during the completion of your Comprehensive Exam, Dissertation Proposal Defense and ultimately, Dissertation Defense. Each department has its own section which are as follows: Accounting (A1); Finance/Economics (B1); Information Systems (C1); Strategy and Policy (D1); Marketing (E1); Operations and Technology Management (F1); Organizational Behavior (G1); and Mathematical Finance (M1).