Marketing Ph.D. Program Curriculum


Course Type Field/Number Title
MKTG Seminar MKTG 8701 Behavioral Research in Marketing
Methods Requirement DNSC 8385 or
EDUC 8130 or
PSYC 8202 or
PSYC 8256
Survey and Research Methods Requirement
Methods Requirement DNSC 6274 or
ECON 8375 or
EDUC 8171
Statistical Modeling I Requirement
Elective *


Course Type Field/Number Title
MKTG Seminar MKTG 8702 Behavioral Economics and Behavioral Game Theory
Methods Requirement DNSC 6275 or
ECON 8376
Statistical Modeling II Requirement
Elective *
Elective *


Course Type Field/Number Title
MKTG Seminar MKTG 8703 Digital Marketing
Methods Requirement DNSC 6276 or
EDUC 8172 or
EDUC 8173
Multivariate Analysis Requirement
Elective *


Course Type Field/Number Title
MKTG Seminar MKTG 8704 Marketing Strategy
Methods Requirement DNSC 6279 or
EDUC 8170 or
PSY 8231 or
PSC 8122 or
PSC 8124
Specialized Methods Topic Requirement
Elective *



Doctoral Seminars

As described above, the Marketing Department requires four doctoral seminars taught by marketing faculty:

  • MKGT 8701 – Behavioral Research in Marketing (Hoffman)
  • MKTG 8702 – Behavioral Economics and Behavioral Game Theory (Perry and Ham)
  • MKTG 8703 – Digital Marketing (Novak)
  • MKTG 8704 – Marketing Strategy (Achrol)

The following Information Systems and Technology Management (ISTM) seminars taught by affiliated faculty Duan and Ho can also be used to fulfill elective requirements:

  • ISTM 8392 – Advanced Empirical Methods in Information Systems (Ho)
  • ISTM 8395 – Contemporary Research Topics in Information Systems (Ho)
  • ISTM 8398 – Empirical Research in Information Systems – A Cross Disciplinary Overview (Duan)

Electives & Methods Requirement

Required Electives

The 5 required elective courses are taken from other GWSB departments, Psychology, Statistics, Economics, etc. and can also contain courses from the methods requirement list.

Methods Requirement

The 5 required methods courses are taken from the list below.


Methods Requirement 1: Survey and Research Methods

One course from the following list:

DNSC 8385 – Special Topics in Research Methods. 3 Credits.
Research problems and issues related to student dissertations form topics for readings, group discussions, and assigned papers.

EDUC 8130 – Survey Research Methods. 3 Credits.
Techniques used to collect an array of information from a large number of people through structured interviews and mailed, e-mailed, or web-based questionnaires. Defining the research question and design; sampling, survey development, data collection procedures, pretesting, and data handling.

PSYC 8202 – Psychological Research Methods and Procedures. 3 Credits.
Required in all graduate psychology programs. Includes philosophy of science, types of research design, and methods of data collection.
Prerequisite: graduate standing, a laboratory course in psychology, and a course in statistics.

PSYC 8256 – Introduction to Survey Research. 3 Credits.
Theory and practice of face-to-face telephone and mail surveys. Practical experience with all stages from the formulation of research questions and hypotheses to questionnaire design, sampling, pilot, testing, interviewing, coding, and data cleaning.


Methods Requirement 2: Statistical Modeling I

One course from the following list:

DNSC 6274 – Statistical Modeling and Analysis. 3 Credits.
The process of specifying, analyzing, and testing models of human and systemic behavior. Formalization of models; statistical test comparison and selection; computer implementation of univariate, bivariate, and multivariate tests. General linear model: linear regression, analysis of variance, and analysis of covariance.

ECON 8375 – Econometrics I. 3 credits
Statistical foundations for econometrics; standard methods of estimation and inference for classical and generalized regression models. Same as Stat 8375.

EDUC 8171 – Predictive Designs and Analyses. 3 Credits.
Techniques used to assess how independent variables are related to one dependent variable. Simple regression, multiple linear regression, and logistic regression. Appropriate research questions, data interpretation, and design.


Methods Requirement 3: Statistical Modeling II

One course from the following list:

DNSC 6275 – Advanced Statistical Modeling and Analysis. 3 Credits.
Advanced topics associated with the general linear model. Testing for and remediation of assumption violations. Detection of outliers, influential observations, and multicollinearity. Alternative design strategies in the analysis of variance; latent growth analysis; hierarchical linear modeling; testing for interactions and parallelism.

ECON 8376 – Econometrics II. 3 credits.
Topics may include asymptotic theory, statistical endogeneity, instrumental variables estimation, discrete and limited dependent variable models, and time–series models.
Prerequisite: Econ 8375.


Methods Requirement 4: Multivariate Analysis

One course from the following list:

DNSC 6276 – Exploratory and Multivariate Data Analysis. 3 Credits.
Methods for exploratory and multivariate data analysis. Application and comparison of advanced multivariate analytical procedures. Multivariate and discriminant analysis, LISREL analysis, and canonical correlation.

EDUC 8172 – Multivariate Analysis. 3 Credits.
Techniques for assessment of relationships among multiple independent variables and dependent variables. Multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), discriminant analysis, and exploratory factor analysis.

EDUC 8173 – Structural Equation Modeling. 3 Credits.
Multivariate techniques used for assessment of structural (causal) relations among latent (unobserved) variables with multiple observed indicators: observed and latent variable path analysis and confirmatory factor analysis. Latent means analysis and latent growth modeling.


Methods Requirement 5: Specialized Topics

One course from the following list:

DNSC 6279 – Data Mining. 3 Credits.
How organizations make better use of the increasing amounts of data they collect and how they convert data into information that is useful for managerial decision making. Examination of several data mining and data analysis methods and tools for exploring and analyzing data sets. State-of-the-art software tools for developing novel applications.

EDUC 8170 – Educational Measurement. 3 Credits.
Classical and modern measurement theory, item response theory, and factor analysis. Educational and psychological instrument development and validation. Interpretation of scale scores and assessment of instrument adequacy.

PSYC 8231 – Development of Psychometric Instruments. 3 Credits.
Quantitative techniques and principles used in construction, standardization, and evaluation of personality and ability measures for research and practice; quantification of human judgment for measurement purposes.
Prerequisite: Course in tests and measurements & an elementary course in statistics.

PSC 8122 – Longitudinal Analysis. 3 Credits.
Examination of two classes of statistical models for longitudinal data—(1) models for time-series, cross-sectional and panel data and (2) modeling event history (i.e., duration, survival, hazard).

PSC 8124 – Multilevel Modeling. 3 Credits.
Statistical issues and models for multilevel (hierarchical) data structures, including the variance components, random intercept, and random coefficient models. Handling cross-level interactions.