Requirements for Ph.D. in Marketing
Ph.D. students in Marketing must fulfill all of the general Tepper School Ph.D. requirements, in addition to any area specific requirements.
The Marketing Ph.D. Program is organized into three tracks:
(I) Consumer Behavior
(II) Empirical Modeling
(III) Analytical Modeling
Often, two or more tracks are combined.
The courses that students take tend to organize into two categories: Courses for All Marketing Students and Courses Based on Track. One thing to note is that this list is just an example and course offerings change regularly. Make sure to consult the Marketing area representative about an appropriate course selection for you.
Courses for All Marketing Students Include:
Students are encouraged to take all marketing courses offered, which currently includes:
- Analytical Models in Marketing (47-753)
- Analytical & Structural Marketing Models (47-744)
- Bayesian Statistics for Marketing (47-747)
- Multivariate Data Analysis (47-755)
- Empirical Models in Marketing (47-756)
- Structural Models & Quantitative Methods (47-757)
- Estimating Dynamic and Structural Models (47-952)
- Understanding the Consumer Mind (47-738)
- Topics in Consumer Behavior (47-739)
Courses Based on Track
The following is a table of potential courses based upon based upon tracks. Note that students typically do not take all of these courses, but rather select those that best fit their research interests. Course titles and numbers may change and are not always offered, students may wish to substitute similar courses when available. Also, the set of Marketing courses for the two modeling tracks are the same because 1) empirical students increasingly formulate theory-based models and 2) theory/analytical students increasingly empirically test and validate their conclusions.
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Courses for Consumer Behavior Track |
Courses for Empirical and Analytical Modeling Tracks |
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- Human Judgment and Decision Making* - Social Psychology - Nonlinear Decision Models - Behavioral Economics* - Emotion* - Experimental Research Methods - Seminar in Unethical Behavior - Seminar in Organizational Behavior - Experimental Design for Behavioral and Social Science - Multivariate Data Analysis |
- Marketing seminars, which include topics such as choice models, data analysis, game theory, and structural marketing models - Information Economics - Causal Econometrics - Econometrics I, II, III - Microeconomics I, II - Analytical and Structural Marketing Models - Bayesian Statistics in Marketing - Bayesian Theoretical Statistics |
- Dynamic Structural Models - Machine Learning - Multivariate Data Analysis - Advanced Statistical Methods - Applied Bayesian Methods - Computational Methods of Economics - Intermediate Statistics - Nonparametric Modeling and Econometrics - Regression Analysis - Statistical Computing - Time Series Analysis
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Qualifying Exams Based on Track
Consumer Behavior Track
Students typically take two sets of exams:
- Marketing (Students are tested on the breadth of the Marketing area which includes material covered in the “Courses for All Marketing Students”, reading list, and seminar topics)
- Social and Decision Science Qualifier Exams on Judgment and Choice (Courses indicated with an * prepare you for this exam, but confirm with the SDS Department on schedules and preparations)
Empirical and Analytical Modeling and Tracks
Students typically take two sets of exams:
- Marketing (Students are tested on the breadth of the Marketing area which includes material covered in the “Courses for All Marketing Students”, reading list, and seminar topics)
- Microeconomics I & II and Econometrics I & II