Ph.D. Marketing Concentration
Currently not admitting applicants to the Marketing Ph.D. program for Fall 2020.
The Ph.D. in Marketing program prepares students for an academic career conducting research in and teaching marketing. As a doctoral marketing student, you will be working with faculty who are outstanding researchers, have work published in the field's top journals, and who have extensive experience successfully advising doctoral students.
Our faculty in marketing conduct research on a wide variety of marketing issues, using diverse methodologies for modeling consumer and firm behavior, such as statistical, econometric, and machine learning models; models and theories from the behavioral sciences such as psychology, sociology, and behavioral economics; and economic, game-theoretic and industrial organization models.
The following is a brief overview of the Ph.D. in Marketing program and its requirements. More details can be found in the Ph.D. handbook. The average time for completion of the program is five years. A student’s duration in the program will be devoted to research, core curriculum coursework and teaching assistantships, if applicable.
The program generally follows a three-phase sequence:
1. Beginning research with supervision, core curriculum coursework and a teaching assistantship, if applicable.
2. Continuing research, qualifying examination and advancement to candidacy.
3. Final dissertation research, including data collection, write-up and defense of the dissertation.
Research is an integral part of the entire Ph.D. in Marketing program. All students are required to begin their research by writing a first-year research paper and are expected to be engaged in research throughout the program, culminating in the dissertation research. A distinguishing factor of our Ph.D. program is that students collaborate on research with faculty from the very start.
In their first two years in the program, students are required to:
- Complete five research methods courses listed below
- Complete four field seminars in marketing
- Attend weekly research seminars (field colloquia), where students interact with top professors in the field of marketing
- Take a comprehensive exam during the spring quarter of their second year in the program
- Three basic discipline courses from outside the business school
- Four elective courses from a list of approved electives
The dissertation culminates the student’s academic endeavors. When all program requirements are completed, students take their oral qualifying exam, which is a defense of the dissertation proposal.
Of substantial magnitude, the dissertation should make a significant contribution to the advancement of knowledge in marketing. It should be of sufficient originality and quality to merit publication, either in whole or in part, in top-tier professional journals. A candidate for the Ph.D. degree will defend his/her dissertation in a public, oral presentation at a time announced to members of the UCR community. Upon the candidate’s successful defense of the dissertation, the Ph.D. Dissertation Committee will make a recommendation to the Graduate Division that the Ph.D. degree be conferred.
Ph.D. students are requested to serve as Teacher Assistants for 1-2 quarters each year, starting in their second year. In this role, they work with faculty members in the undergraduate classes by reading and grading assignments, preparing examinations and conducting laboratory sessions. Students are usually not assigned TA duties during first year studies. Students supported by fellowships are not assigned TA duties until they terminate their fellowship.
Marketing Field Seminars
Marketing Field Seminars
- MGT 288A Behavioral Research in Marketing
- MGT 288B Quantitative Research in Marketing
- MGT 288C Special Topics in Marketing—Behavioral
- MGT 288D Special Topics in Marketing—Theoretical
Research Methods Courses
- ECON 205A Econometric Methods I
- ECON 205B Econometric Methods II
- ECON 205C Econometric Methods III
- ECON 244 Empirical Research Methods
- PSYC 211 Statistical Inference
- PSYC 212 Multiple Regression and Correlation Analysis
- PSYC 213 Experimental Design and Analysis of Variance
- PSYC 243 Multivariate Statistics
- PSYC 259 Topics in Quantitative Methods
- SOC 201A Research Perspectives: Quantitative Methods
- SOC 201B Research Perspectives: Qualitative Methods
- SOC 203A Descriptive and Multivariate Statistics
- SOC 205 Categorical and Survival Data Analysis
- SOC 203B Multi-equation and Measurement models
- STAT 203A Bayesian Statistics I
- STAT 203B Bayesian Statistics II
- STAT 205 Discrete Data Analysis
- STAT 206 Statistical Computing
- STAT 207 Advanced Statistical Computing
- STAT 208 Statistical Data Mining Methods
- STAT 204A Advanced Design and Analysis of Experiments
- STAT 204B Advanced Design and Analysis of Experiments
- STAT 220A Multivariate Analysis
- STAT 220B Multivariate Analysis
- STAT 230 Sampling Theory
- CS 235 Data Mining Techniques
- CS 229 Machine Learning