PhD in Marketing

General Information

The Ph.D. program in Marketing at the University of Missouri emphasizes the development of research and teaching skills needed to pursue career placement at a research-oriented university. Marketing offers great potential for student specialization and those interested in behavioral, strategic, or methodological issues are welcome in our program. The diversity of our faculty members’ research interests and expertise with varied research methods enables doctoral students to pursue a wide variety of interests.

The programs require a minimum of 72 semester hours of graduate work beyond the baccalaureate degree. Students entering the program will have completed their baccalaureate degree and, although it is not required, typically will have completed a master’s degree. The program is designed to be completed in four years by those with an MBA and graduate-level foundational math/statistics or econometrics coursework; entrants without an MBA or foundational graduate math/statistics or econometrics courses must take additional courses that will usually result in an additional year to complete the program. In our full-time program, students typically work 20 hours/week as a research or teaching assistant during Fall and Spring semesters and receive financial support including a full tuition waiver and fellowships for four years. Acceptance of financial support requires no substantive outside employment.

The Ph.D. in marketing offers small class sizes, marketing doctoral seminars, and a collaborative environment. Students develop skills by working with faculty on research projects and from faculty mentoring. Students also gain valuable experience by teaching undergraduate courses. Regular seminars enhance the doctoral experience.

What to Expect

A marketing Ph.D. student develops a program of study through discussion with, and subject to the approval of, the student's doctoral advisor and program committee. Enrolled coursework in the program includes:

  • Business Foundation - at least 15 hours. This requirement typically is waived for students with an MBA or prior applicable coursework.
  • Marketing Concentration - An in-depth major concentration including 15 hours of 8000/9000-level courses in Marketing. 
  • Support Area(s) and Research Methodology and Statistics – total of at least 30 hours.  Students often take additional support area, research methodology and statistics courses. The combination of support area(s), research methods and statistics will vary depending on the interests and needs of the student, but one of the following configurations must be achieved:
    • Two 9-hour support areas plus 12 hours in research methodology and statistics -- or
    • One 12-hour support area plus 18 hours in research methodology and statistics.
  • Collateral Requirement & Analytical Tools - research methods and analysis sequence of at least 12 - 18 hours, including appropriate courses in economics, mathematics, psychology, sociology, statistics or other areas deemed appropriate by the doctoral program committee.
  • Required Professional Development Seminars – at least 4 hours (enrolled). An ongoing seminar experience (each semester until successful completion of comprehensive examinations) that acquaints the student with the current literature and research in his/her major area of interest.
  • Dissertation Research – at least 12 hours.

The requirements listed above are independent of one another; courses taken to satisfy one requirement may not be used to satisfy any other requirement. The combination of coursework, seminar experience, and dissertation experience is designed to provide students with a sound foundation for a productive career as an academic in marketing.

 

Show Me the Facts

8
Students currently enrolled in this program
16
Graduates since 2010
16
Placements since 2010

Admissions

Applications must be received by February 1 for full consideration for admission in the fall, but earlier applications are encouraged. Applications continue to be accepted until all available positions are filled. Admission to the PhD programs in the Trulaske College of Business is selective. Strong applicants have a demonstrated record of academic accomplishment, intellectual curiosity and enthusiasm for discovery, and a general understanding of the demands of a doctoral program. Work experience in business, management, research, or similar endeavors is very welcome but not required.

Click here for detailed admissions requirements for the PhD program

Degree Requirements

A marketing PhD student develops a program of study through discussion with, and subject to the approval of, the student's doctoral advisor and program committee.

All PhD students in the Robert J. Trulaske, Sr. College of Business must have 15 hours of general business courses to acquaint them with the functional areas of business. The PhD Program Coordinator can waive these courses for students who have satisfactorily completed equivalent course work. Completion of an MBA typically waives all 15 credit hours.

Required Courses:
  • ACCTCY 7310: Accounting for Managers
  • FINANC 7440: Managerial Finance
  • MRKTNG 7460: Managerial Marketing
  • Additional course approved by your Program Committee and Doctoral Coordinator 
Elective Course:
  • MANGMT 7380: Organizational Behavior and Management: The Individual 

An in-depth major concentration in the area consisting of, for business administration students, a minimum of 15 hours of 8000/9000-level courses in Marketing.

Required Marketing Seminars:
  • MRKTNG 9010: Introduction to Research Methods in Marketing 
  • MRKTNG 9210: Seminar in Marketing Strategy 
  • MRKTNG 9220: Seminar in Marketing Models 
  • MRKTNG 9230: Seminar in Consumer Behavior
  • MRKTNG 9240: Seminar in Marketing Strategy 2 (note: course number not verified yet – seminar to be added soon)
Marketing Elective:
  • MRKTNG 9185: Doctoral Independent Study in Marketing

*Students must have completed basic calculus and statistics (equivalent of STAT 1400: Elementary Statistics for Life Sciences) prior to taking MRKTNG 9220: Seminar in Marketing Models. If basic calculus and statistics are lacking, students are strongly encouraged to take STAT 7710: Introduction to Mathematical Statistics or its equivalent in the summer prior to starting the doctoral program or in the entry Fall semester.

**Courses from other doctoral programs or other sources are subject to the approval of the program committee chair and the doctoral coordinator. For example, 8-week online seminars such as those offered by Penn State’s ISBM may earn 1.5 hours subject to the approval of the program committee chair and the doctoral coordinator.

Either (a) two support areas with a minimum of 9 hours each or (b) one support area of at least 12 hours. At least 15 hours must be in 8000- and/or 9000-level courses. Support areas should be selected to provide depth in theory and research appropriate for the research interests of the student. The specific support areas and courses chosen should be customized to achieve the objectives of the PhD candidate.

Typical support areas for students in marketing are economics/econometrics, organizational behavior, social psychology, and statistics, but other areas may be appropriate based on the student’s research interests. Sample courses in various support areas include (but are not limited to):

Example Support Area I: Economics/Econometrics
  • ECONOM 7340: Introduction to Game Theory
  • ECONOM 7351: Intermediate Microeconomics
  • ECONOM 7355Industrial Organization and Competitive Strategy 
  • ECONOM 7370: Quantitative Economics
  • ECONOM 7371: Introductory Econometrics
  • ECONOM 7775: Dynamic Optimization and its Applications to the Natural Sciences and Economics
  • ECONOM 8340: Game Theory
  • ECONOM 8451: Microeconomic Theory 
  • ECONOM 8472: Econometric Methods I
  • ECONOM 8473: Applied Econometrics
  • ECONOM 9452: Advanced Microeconomic Theory II
  • ECONOM 9471: Advanced Game Theory
  • ECONOM 9473: Econometric Theory II
Example Support Area II: Organizational Behavior
  • MANGMT 9030: Seminar in Macro Organizational Behavior
  • MANGMT 9040: Seminar in Human Resource Management
  • MANGMT 9060: Seminar in Corporate Strategy
  • MANGMT 9080: Seminar in Entrepreneurship
  • MANGMT 9087: Seminar in Management
Example Support Area III: Psychology/Social Psychology
  • PSYCH 8610: Motivation
  • PSYCH 9310: Theories of Social Psychology
  • PSYCH 9360: Seminar in Social Psychology
Example Support Area IV: Statistics
  • STAT 7210: Applied Nonparametric Methods
  • STAT 7310: Sampling Techniques
  • STAT 7510: Applied Statistical Models I
  • STAT 7530: Analysis of Variance
  • STAT 7540: Experimental Design
  • STAT 7710:  Introduction to Mathematical Statistics
  • STAT 7750: Introduction to Probability Theory
  • STAT 7760: Statistical Inference
  • STAT 7830: Categorical Data Analysis
  • STAT 7850: Introduction to Stochastic Processes
  • STAT 8310:  Data Analysis I
  • STAT 8320:  Data Analysis II
  • STAT 8640: Bayesian Analysis I
  • STAT 9640: Bayesian Analysis II
  • STAT 9710: Advanced Mathematical Statistics I
  • STAT 9720: Advanced Mathematical Statistics II

These supporting areas offer the student considerable latitude in identifying a course of study that can be tailored to the individual's interests and goals. If two support areas are selected, the student must also satisfy a 12-hour analytical tool requirement; if one support area is selected, the student must also satisfy an 18-hour analytical tool requirement (see below).

Courses in research methods and statistics are required to provide each doctoral student with a sound foundation in research skills. Students take a combined total of at least 30 credit hours of research support area(s) and research methodology and statistics. The requirement includes (a) minimum of 12 hours for students with two support areas or (b) a minimum of 18 hours for students with one support area. Students often take additional analytical tool courses beyond the minimum to develop depth of knowledge in tools required for their specific research interests.

Required Analytical Marketing Seminars:
  • MRKTNG 9020: Seminar in Advanced Research Methods in Marketing 
  • MRKTNG 9030: Seminar in Applied Multivariate Analysis in Marketing (note: course number not verified yet – seminar to be added soon)
Sample Analytical Electives:
  • CMP SC 7720: Introduction to Machine Learning and Pattern Recognition 
  • CMP SC 7740: Interdisciplinary Introduction to Natural Language Processing
  • CMP SC 7770: Introduction to Computational Intelligence 
  • CMP SC 8725: Supervised Learning
  • CMP SC 8740: Advanced Natural Language Processing
  • ECONOM 7340: Introduction to Game Theory
  • ECONOM 7351: Intermediate Microeconomics 
  • ECONOM 7355: Industrial Organization and Competitive Strategy 
  • ECONOM 7370: Quantitative Economics
  • ECONOM 7371: Introductory Econometrics
  • ECONOM 7775: Dynamic Optimization and its Applications to the Natural Sciences and Economics
  • ECONOM 8340: Game Theory
  • ECONOM 8472: Econometric Methods I
  • ECONOM 8473: Applied Econometrics
  • ESC PS 9720: Hierarchical Linear Modeling
  • IMSE 7210: Linear Optimization 
  • IMSE 8220: Nonlinear Optimization 
  • IMSE 8230: Stochastic Processes and Models
  • NURSE 9420: Qualitative Methods
  • NURSE 9550: Meta-Analysis Research
  • PSYCH 8710: General Linear Models in Psychology I
  • PSYCH 8720: General Linear Models in Psychology II
  • PSYCH 9320: Social Psychology Methodology
  • PSYCH 9330: Field Research Methods
  • PSYCH 9520: Psychometrics
  • PSYCH 9710: Multivariate Statistics in Psychology
  • SOCIOL 8120: The Logic of Social Research
  • SOCIOL 9287: Seminar in Qualitative Methods in Sociology
  • SOCIOL 9288: Ethnographic Fieldwork
  • STAT 7210: Applied Nonparametric Methods
  • STAT 7310: Sampling Techniques
  • STAT 7510: Applied Statistical Models I
  • STAT 7530: Analysis of Variance
  • STAT 7540: Experimental Design
  • STAT 7710: Introduction to Mathematical Statistics
  • STAT 7750: Introduction to Probability Theory
  • STAT 7760: Statistical Inference
  • STAT 7830: Categorical Data Analysis
  • STAT 7850: Introduction to Stochastic Processes
  • STAT 8310: Data Analysis I
  • STAT 8320: Data Analysis II
  • STAT 8640: Bayesian Analysis I
  • STAT 8710: Intermediate Mathematical Statistics I
  • STAT 8720: Intermediate Mathematical Statistics II
  • STAT 9530: Data Mining and Machine Learning Methods
  • STAT 9640: Bayesian Analysis II
  • STAT 9710: Advanced Mathematical Statistics I
  • STAT 9720: Advanced Mathematical Statistics II

An ongoing seminar experience (each semester until successful completion of comprehensive examinations) that acquaints the student with the current literature and research in his/her major area of interest. This seminar is in addition to other seminars offered departmentally (4 hours minimum).

  • MRKTNG 9101: Current Topics Seminar in Marketing - Students are expected to participate in this one-hour seminar each Fall and Spring semester while in residence at the University of Missouri. They enroll formally during at least the first two years in the program (total of 4 hours). The seminar is intended to provide an open forum for the exchange of research ideas and the discussion of current topics in marketing.
  • MRKTNG 9290: Seminar in Academic Writing - (note: course number not verified yet – seminar to be added soon.) Students are expected to participate in this three-hour seminar during the summer after the first academic year. This course focuses on student development of existing in-progress papers, such as those in preparation for the Qualifying Examination. This course is graded S/U.

Following the conclusion of other coursework and successfully passing the comprehensive examination, students enroll in MRKTNG 9090: Research in Marketing until the dissertation is completed. A minimum of 12 hours is required (at least 2 hours each fall and spring semester and 1 hour each summer semester).

A dissertation is required to complete the doctoral program. Each student, working under the supervision of the doctoral program committee chair, must propose an original scholarly research project. Ideally, the dissertation proposal is defended at the end of the third year of the program in an oral presentation. The committee chair and committee may require a written component for the proposal as well. The proposal must be approved formally by the student’s program committee.

Following completion of the research, the written dissertation must be orally defended and approved by the student’s program committee.

Other Requirements And Evaluative Components

Every marketing doctoral student is required to complete a qualifying examination, which is a project and related paper completed in the summer after the first fall and spring semesters in the program. The first component is a comprehensive evaluation of overall performance in coursework and RA assignments and participation in formal and informal doctoral program elements. The second component is a first-year project addressing a scholarly research topic in marketing consisting of two major parts: a written prospectus outlining planned research and development of a paper suitable for submission to a conference or journal. This project promotes early research engagement and serves as a means to evaluate the student’s possession/development of skills that are critical for successful completion of the doctoral program.

Every marketing doctoral student will compile a Portfolio of Academic Progress, adding to it and updating it each semester. A student’s progress is reviewed by the faculty annually at the end of the spring semester. First-year students are also reviewed at the end of their first semester in the program. At the discretion of the student’s program committee and the doctoral coordinator, additional intermediate reviews may be conducted at other points in time when there is concern satisfactory progress is not being achieved. Failure to attain satisfactory performance and progress will lead to probation in accord with MU Graduate School guidelines. 

Guidelines for this review/evaluation are as follows:

  • All Ph.D. students, both on and off campus, will be evaluated annually.
  • A minimum of one evaluation of each student will be performed at the end of each Spring Semester. More frequent evaluations may be conducted at the discretion of the student’s program committee.
  • The evaluation will be coordinated by the chair of the student's doctoral program committee. If a chair has not been appointed, the unit Ph.D. program coordinator will oversee the evaluation; and if the unit has no coordinator, the unit chair will assume the responsibility. Participating in the review are the members of the program committee and others who may be working with the student, e.g., supervisor of the student's TA or RA assignments, or course instructors.
  • During April of each year, the College Graduate Studies Office will notify Ph.D. students and committee chairs that annual evaluations are due in June. Each department will follow their evaluation procedures, which will include evaluations of teaching and research effectiveness.
  • The specific procedure employed is up to the individual coordinating the evaluation, but it is suggested that broad input be obtained from faculty in a position to evaluate the student. Further, the procedure should include feedback provided to the student and a written evaluation signed by both the evaluator and the student.
  • The student will be apprised of his/her progress, including feedback from course work taken, teaching evaluations, and/or research assistantship evaluations. Plans will be developed to assist the student in areas in which he/she may need assistance.
  • The written evaluation should be submitted to the appropriate College Graduate Studies Office by June 15, and will be placed in the student's academic file. Copies should be provided to the student, the unit Ph.D. program coordinator, and the unit chair/director.
Research:

A primary objective of the Ph.D. program is to train candidates to become proficient researchers. Through course work and other activities, students develop skills in various areas such as literature review and critique, theoretical modeling, research design, computer assisted empirical analysis, and preparation of proposals and research papers. Students are encouraged and supported to engage in research activities in collaboration with faculty, other students, and independently. Assistantships are contingent on satisfactory performance in the doctoral program. During the fall and spring semesters of the first two years in the doctoral program, students will be assigned as research assistants to faculty members (20 hours per week, typically 10 hours per week for two faculty members).

Teaching Overview:

Another important objective of the Ph.D. program is to provide candidates with the opportunity to develop classroom instructional skills. To achieve this objective, students participate in a number of activities. All students are assigned undergraduate teaching responsibilities while in the doctoral program. Usually, this will include four semesters of direct classroom experience. Typically, candidates will have responsibility for planning, conducting, and administering one section per semester of an undergraduate course. In preparation for the teaching experience, Ph.D. students are encouraged to visit classes to observe teaching methods; interact with faculty to become familiar with course material and presentation; and attend various teaching activities sponsored by their department, the College, and the University. 

In accord with University policy, all international students must achieve Level 4 on an oral language proficiency screening prior to classroom teaching. In the Trulaske College of Business, Level 4 must be achieved by the end of the student’s second year in the program. Failure to do so prevents receipt of teaching assistantship funding and is grounds for dismissal.

Students are expected to pursue their own research projects in conjunction with faculty, other doctoral students, or independently. They are expected to keep abreast of current developments in marketing by reading marketing publications and attending appropriate conferences. Presentation of scholarly research at national conferences and/or preparation of articles for publication in marketing journals is expected. Research funds are available to cover some of the expenses of these research projects and collaboration with faculty generally results in faculty funding for research projects.

Every marketing doctoral student must pass the comprehensive examination following the completion of required marketing coursework. Typically, the comprehensive examination is taken after the first two full years in the marketing doctoral program. The examination consists of an original integrative research paper developed by the student and a subsequent oral examination. 

Marketing PhD Coordinator

By the Numbers

Academic Year Enrollment Graduated Placed
2020-2021 8 TBA 2
2019-2020 10 2 2
2018-2019 11 3 1
2017-2018 9 0 0
2016-2017 9 2 2
2015-2016 9 2 2
2014-2015 10 1 1
2013-2014 8 1 1
2012-2013 9 1 1
2011-2012 8 1 1
2010-2011 10 3 3