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Washington University in St Louis Olin Business School

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Home > Academic Programs > PhD > Marketing > Marketing Science Curriculum
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Marketing Science Curriculum

PHASE ONE - FIRST YEAR

Curriculum

Research

Milestones

Math Camp

(Held in August prior to first semester)

Fall

Spring

Core Foundations

Core Foundations

Microeconomics I
Quant. Methods I
Quant. Methods II
(9 credits)

Microeconomics II
Microeconomics II
Econometrics
(9 credits)

Marketing Courses

Marketing Courses

Olin courses
(3 credits opt.)

Olin courses
(3-6 credits)

Attend Marketing Seminars

Begin Research Collaborations

Micro Econ Prelim Exam

The theory examinations will concentrate on applications of the theory. Students must receive Distinction or a PhD "Pass" to continue in the PhD program. One retake of the theory examination is permitted. Students must retake the exam if they fail to obtain a PhD "Pass." Theory examinations are given in late June to all first-year students. All students are expected to stay in residence between the end of spring classes and the June prelims to study. Retake exams are scheduled in August.

PHASE TWO - SECOND YEAR

Curriculum

Research

Milestones

Communication Course

Fall

Spring

Elective Foundation Courses

Elective Foundation Courses

(3-6 credits)

(3-6 credits)

Marketing Courses

Marketing Courses

(3-6 credits)

(3-6 credits)

RA/TA Orientation (held in August)

Attend Marketing Seminars

Second-Year Summer Paper

Papers are due in July in the summer following second-year courses.

Qualifying Exam

400 RA/TA Hours

PHASE THREE - THIRD & FOURTH YEARS

Curriculum

Research

Milestones

Teaching Workshop
Communication Course

Fall

Spring

Independent Course Study & Elective MKT Courses

Independent Course Study & Elective MKT Courses

(6-9 credits)

(6-9 credits)

Attend Marketing Seminars

Paper Presentations

Dissertation Research

Conference Presentations

Proposal or Dissertation

Students must be able to assemble a committee for the proposal of their dissertation and submit a Title, Scope and Procedure Form at the committee's approval of the proposed dissertation by the end of their fourth year.

400-500 RA/TA Hours

PHASE FOUR - FIFTH YEAR

Curriculum

Research

Milestones

TA or Class Facilitation

Fall

Spring

Dissertation

Dissertation

(6 credits)

(6 credits)

Attend Marketing Seminars

Dissertation Research

Conference Presentations

Job Market

Oral Defense of Dissertation

Intent to Graduate

400 RA/TA Hours

Marketing Science Courses

MKT 602 Consumer Behavior I

Consumer Behavior I is the first half of a two-part PhD level course on consumer behavior. However, either part I or part II can be taken independently of the other part. This course will essentially cover the first half of topics from the Handbook of Consumer Psychology.

MKT 602 Consumer Behavior II

Consumer Behavior II is the second half of a two-part PhD level course on consumer behavior. However, either part I or part II can be taken independently of the other part. This course will essentially cover the second half of topics from the Handbook of Consumer Psychology.

B55 MKT 670 Seminar in Marketing Management

This course is an advanced seminar of doctoral level standing. The course is aimed at students pursuing a degree in business, economics or other disciplines interested in learning about the state of the art in analytical and empirical models in marketing. The objective of this course is to study analytical and empirical models and methods used in marketing to understand and predict the behavior of market participants, viz., consumers, and firms and to examine generalizations of such behaviors from a number of studies. The topical coverage in this seminar will vary from year to year.

B55 MKT 672 Special Topics in Marketing
B55 MKT 673 Analytical Modeling in Marketing

This PhD level seminar provides an overview of analytical models in marketing and economics as well as an in-depth discussion of game theory topics frequently used in economics and business literature. The seminar consists roughly of two parts. The objective of the first part is to achieve understanding, justification, and intuition for the commonly-used equilibrium concepts and ideas in game theory, such as Nash, Bayesian Nash, and Markov-perfect equilibria, and sub-game perfection. In this part, the course will go beyond the standard game theory treatment in Micro II to understand the usual critique and justification of the use of game theory in business applications and to better understand the equilibrium concepts used in applied economics and business literature. The objective of the second part is to study how these concepts have been used in the current business and economics literature. The specific areas covered in this part will vary from course to course to take into account the interests of students and to avoid overlap but complement recently offered courses. Likewise, to avoid overlap, the emphasis placed on the two parts of the course will vary from year to year. The topics and methodology covered in this seminar should be of interest to doctoral students in Business, Economics, and Political Science.

B55 MKT 674 Judgment and Decision Making

This class provides students an introductory overview of judgment and decision making (JDM, aka Behavioral Decision Making) research, with a consumer behavior slant. The field of JDM is heavily grounded by the disciplines of economics, psychology, and statistics, and now has major contributions from most business domains as well (organizational behavior, behavioral accounting, behavioral finance, marketing, consumer behavior, etc.). We will look at some of the classic articles and theories that started the movement and current work that has updated these theories.

B55 MKT 675 Empirical Methods in Structural Modeling
B55 MKT 678 Independent Study in Marketing

Internship must be arranged by the student and approved by the advising faculty member. An outline of objectives must be submitted to the PhD Office prior to enrollment. May be taken a maximum of five (5) times for credit. Credit, variable; fifteen (15) credits combined total.

B55 MKT 679 Directed Readings in Marketing

A program of readings developed by and with the approval of one or more members of the Marketing faculty. Prerequisite, approval of the Director of the PhD program. Credit, variable. May be taken up to two (2) times for credit; six (6) credits combined total.

Other Courses

MGT 600A Teaching Business

The course is designed to assist doctoral students in advancing their teaching capabilities. The format will include in-class discussions, group work, creating an ‘out-of-class’ video, creating a video of an ‘in-class’ session, presenting to the class, and constructively critiquing the work of others.

B53 MGT 601 Doctoral Prep: University Teaching

Two (2) credits are required for the Ph.D. Students must provide an Olin professor 30 hours of assistance in the teaching function; includes, but is not limited to, conducting help sessions, grading, developing lectures or exams. Maximum of eight (8) credits allowed. Hours performed during this course do not count toward RA/TA requirements. Credits will count towards teaching requirement of the Graduate School of Arts & Science.

B53 MGT 605 Research Internship

Three (3) credits are required for the PhD. Under the direction of a faculty member, students will work (and be graded) on their own research project. This requirement will be completed when students are at candidacy and preparing a dissertation proposal. Internship must be arranged by the student and approved by the advising faculty member. An outline of objectives must be submitted to the PhD Office prior to enrollment. An additional nine (9) credits may be taken; maximum of twelve (12) credits allowed.

B53 MGT 607A Teaching Presentation Skill Workshop

This course focuses on developing presentation skills for the classroom and for conference papers. Students will deliver three presentations and write a summary performance evaluation. This course is required for all students prior to graduation in compliance of the teaching requirement governed by the Graduate School of Arts & Science.

B53 MGT 610 Dissertation

Maximum of twelve (12) credits allowed, six (6) per semester. Prerequisite: submission of Title, Scope, and Procedure Form and successful Proposal of dissertation.

B53 MGT 620 Empirical Methods in Business

The objectives of this course are to train PhD students in different business disciplines to understand: how to use data to address research questions, how to build econometric models that can be applied to data, and how to estimate the econometric models using some statistical packages. This course emphasizes on empirical data handling and estimation issues. Prerequisites: students are expected to have basic statistical knowledge such as random variables and distributions, tests of statistical hypothesis, basic linear regression and maximum likelihood estimation.

Core Foundation Courses

L11 Econ 503 Microeconomics I

The first of a two-semester graduate sequence in microeconomic theory. The courses cover the determination of relative prices and quantities exchanged of final products and factors of production. The first semester considers production and costs, supply of output and demand for inputs, demands for final products, market organization, time and capital. Fall.

L11 Econ 504 Microeconomics II

The second of a two-semester graduate sequence in microeconomic theory. The second semester considers the further development of individual consumer behavior, aggregated demand, general equilibrium analysis, Leontief models, consumer's surplus analysis, social choice, and expected utility analysis. Spring.

L11 Econ 511 Quantitative Methods in Economics I

Study of those topics of mathematics of special usefulness in economic research. Selection and ordering of topics will vary with level of student preparation but will usually include the following: vectors, matrices, lines mappings; their manipulation and elementary properties; elementary topology, and elements of multidimensional calculus. Fall

L11 Econ 512 Quantitative Methods in Economics II

Introduction to mathematical statistics designed to provide a background for the study of econometrics. Selection of topics will usually include: probability, introduction to distribution theory, including limiting distributions and distributions of quadratic terms, Bayes Theorem, and hypothesis testing. 3 class hours a week. Fall.

L11 Econ 513 Introduction to Econometrics

Classical multiple regression analysis and an introduction to generalizations useful in empirical research in economics, including a framework for dealing with problems of multicollinearity, specification error, heteroskedasticity, serial and contemporaneous correlation, identification and consistent estimation in simultaneous equation models. Spring, odd years.

L11 Econ 516 Applied Econometrics

Introduction to econometrics as it is applied in microeconomics and macroeconomics (modular). Topics related to the analysis of microeconomic data include maximum likelihood estimation and hypothesis testing; cross-section and panel data linear models and robust inference; models for discrete choice; truncation, censoring and sample selection models; and models for event counts and duration data. Topics related to the analysis of macroeconomic data include basic linear and nonlinear time series models; practical issues with likelihood-based inference; forecasting; structural identification based on timing restrictions and heteroskedasticity; and computational methods for hypothesis testing and model comparison. Prerequisite: Econ 512. Spring, even years.

Course descriptions represent courses offered recently. Not all courses are offered every semester, and it is important to check with Olin Business School prior to scheduling classes to determine course availability for any given semester. Olin Business School reserves the right to make changes in the course offerings or descriptions.