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The marketing faculty embrace research traditions grounded in psychology and behavioral decision-making, economics and industrial organization, and statistics and management science.
These traditions support research inquiries into consumer behavior, firm behavior, the development of methods for improving the allocation of marketing resources, and understanding of how marketing works in a market setting.
A small number of students are accepted into the PhD Program in marketing each year, with a total of about 18 marketing students in residence. Student-faculty relationships are close, both professionally and socially. This permits the tailoring of the program of study to fit the background and career goals of the individual.
A marketing student’s program of study usually includes several doctoral seminars taught by marketing faculty, some doctoral seminars taught by other Stanford GSB faculty, and a considerable number of graduate-level courses in related departments outside the business school, depending on a student’s particular area of investigation.
The field is often broken down into two broad subareas: behavioral marketing and quantitative marketing.
Behavioral Marketing
Behavioral marketing is the study of how individuals behave in consumer-relevant domains. This area of marketing draws from social psychology and behavioral decision theory and includes a wide variety of topics such as:
- Decision making
- Attitudes and persuasion
- Social influence
- Motivation and goals
- New technologies
- Consumer neuroscience
Students in this track take classes in behaviorally oriented subjects within Stanford GSB and also in the Psychology Department . All students have the opportunity to interact with Stanford GSB faculty in every group and, indeed, across the Stanford campus.
Behavioral Interest Group
There is also a formal institutional link between the behavioral side of marketing and the micro side of organizational behavior , which is called the Behavioral Interest Group. The Stanford GSB Behavioral Lab links members of this group. This lab fosters collaborative work across field boundaries among those with behavioral interests.
The Behavioral Lab is an interdisciplinary social research laboratory open to all Stanford GSB faculty and PhD students. The lab’s research primarily spans the fields of organizational behavior and behavioral marketing, and covers a rich and diverse array of topics, including attitudes and preferences, consumer decision-making, group dynamics, leadership, morality, power, and prosocial behavior.
Preparation and Qualifications
A background in psychology and experience with experimental methods and data analysis provide optimal preparation for students pursuing the behavioral track, though students from a variety of backgrounds have performed well in the program.
Quantitative Marketing
The quantitative marketing faculty at Stanford emphasize theoretically grounded empirical analysis of applied marketing problems. This line of inquiry draws primarily on fundamentals in applied microeconomic theory, industrial organization, and econometrics and statistics.
Questions of interest include:
Investigating consumer choices and purchase behavior
Examining product, pricing, advertising, and promotion strategies of firms
Analyzing competition in a wide range of domains
Development and application of large-scale experimentation, high-dimensional statistics, applied econometrics and big-data methods to solve marketing problems
A common theme of research is the use of rigorous quantitative methods to study important, managerially relevant marketing questions.
Cross-Campus Collaboration
Students in this track take common classes in quantitatively oriented subjects with others at Stanford GSB, as well as the Economics and Statistics Departments. All Stanford GSB students have the opportunity to interact with Stanford GSB faculty in every group and, indeed, across the Stanford campus.
Solid training in economics and statistical methods, as well as programming skills, offers a distinct advantage for quantitative marketing students, but students from various backgrounds such as engineering, computer science, and physics have thrived in the program.
Faculty in Behavioral Marketing
Faculty in quantitative marketing, emeriti faculty, recent publications in marketing, recent insights by stanford business.
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PhD Programs in Marketing
The AMA helps potential doctoral students find the right program for them by maintaining a global list of PhD and DBA-granting institutions that offer the opportunity to specialize in marketing. If you would like your institution added to the list below, please email [email protected]
Current doctoral students may find helpful resources via the AMA DocSIG and PhD students who are going on the market should check out the AMA Transitions Guide or learn about Academic Placement at the Summer Academic Conference .
- Chinese University of Hong Kong
- City University of Hong Kong
- Hong Kong University of Science and Technology
- Indian Institute of Management, Ahmedabad
- JK Business School
- Lingnan University
- Management Development Institute
- Nanyang Technological University
- National University of Singapore
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- Bilkent University
- Bocconi University
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- Erasmus Research Institute of Management
- ESSEC Business School
- Frankfurt School of Finance & Management
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- Grenoble Ecole de Management
- HEC Paris
- Hanken School of Economics
- INSEAD
- ICTE Business School
- Kingston University
- Koc University
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- Lausanne University
- London Busines s School
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- Tilburg University
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- University of Groningen
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- University of Navarra, IESE
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- University of Southern Denmark
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- University of Valencia
- VU University Amsterdam
- Wilfrid Laurier University
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- Carleton University
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Australia and New Zealand
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- Arizona State University
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- PhD in Marketing
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The Marketing PhD program prepares students to advance knowledge on the complex interactions between consumers and markets. Students work collaboratively with faculty and gain the experimental, quantitative and analytical skills necessary to conduct research on the drivers of consumer behavior, the mechanisms of consumer decision-making and the indicators of firms’ strategic success.
Research interests of marketing faculty and doctoral students include consumer financial decision-making, marketing communication and persuasion, innovation, pricing, corporate social responsibility, social network effects, and social listening.
World-class training
Marketing PhD students are trained to become thought leaders in academic marketing research. The curriculum provides expert-level training in statistical and experimental methods, quantitative marketing, predictive modeling and theory building.
We employ a junior-collaborator training model: Our award-winning faculty leverage their expertise to help students grow into independent thinkers. Doctoral students build a portfolio of research projects that are relevant to many stakeholders, including researchers, practitioners and policy-makers.
Additional information about our Marketing faculty can be found here
General details about the curriculum, requirements, and structure of the program can be found here . Please be aware this document is not an exhaustive list of the requirements for the Program.
How to Apply
PhD in Marketing Program Flyer
PhD Graduates' Publications
- Journal of Consumer Research Stefan J Hock - George Mason University Rajesh Bagchi - Virginia Tech (PhD 2008) The impact of crowding on calorie consumption (2018)
- Journal of Marketing Research Andrew R Long - University of Colorado at Boulder (anticipated PhD 2019) Philip M Fernbach - University of Colorado at Boulder Bart De Langhe - Ramon Llull University Circle of Incompetence: Sense of Understanding as an Improper Guide to Investment Risk (2018)
- Journal of Consumer Research Stefan J Hock - George Mason University Rajesh Bagchi - Virginia Tech (PhD 2008) The impact of crowding on calorie consumption (2018)
- Journal of Consumer Research Rajesh Bagchi - Virginia Tech (PhD 2008) Lauren Block - City University of New York, Baruch College Rebecca W Hamilton - Georgetown University Julie L Ozanne - University of Melbourne A field guide for the review process: writing and responding to peer reviews (2017)
- Journal of Consumer Research Ashwani Monga - Rutgers University at New Brunswick and Newark Frank May - Virginia Tech Rajesh Bagchi - Virginia Tech (PhD 2008) Eliciting time versus money: Time scarcity underlies asymmetric wage rates (2017)
- Management Science Irene Scopelliti - City University London H Lauren Min - University of Colorado at Boulder (PhD 2018) Karim S Kassam - Carnegie Mellon University Erin McCormick - Carnegie Mellon University Carey K Morewedge - Boston University Individual differences in correspondence bias: Measurement, consequences, and correction of biased Interpersonal Attributions (2017)
- Journal of Consumer Research Dinesh K Gauri - Syracuse University Rajesh Bagchi - Virginia Tech (PhD 2008) Fengyan Cai - Shanghai Jiao Tong University (Antai) Boomerang effects of low price discounts: How low price discounts affect purchase propensity (2016)
- Journal of Marketing Research Rajesh Bagchi - Virginia Tech (PhD 2008) Nevena T. Koukova - Lehigh University Mahesh Nagarajan - University of British Columbia Haresh Gurnani - Wake Forest University Shweta S Oza - University of Miami Walking in my shoes: How expectations of role reversal in future negotiations affect present behaviors (2016)
- Journal of Marketing Research level of a forecast affects inferences about forecasts and forecasters (2016) Rajesh Bagchi - Virginia Tech (PhD 2008) Elise Chandon Ince - University of South Carolina at Columbia
- Journal of Consumer Research Humorous Complaining (2015) Caleb Warren - Texas A&M University at College Station (PhD 2010) A Peter McGraw - University of Colorado at Boulder Christina Kan - University of Colorado at Boulder (PhD 2015) Is a 70% forecast more accurate than a 30% forecast? How
- Journal of Consumer Research Philip M Fernbach - University of Colorado at Boulder Christina Kan - University of Colorado at Boulder (PhD 2015) John G Lynch Jr. - University of Colorado at Boulder Squeezed: Coping with constraint through efficiency and prioritization (2015)
- Journal of Consumer Research Ji Hoon Jhang - Oklahoma State University (PhD 2013) John G Lynch Jr. - University of Colorado at Boulder Pardon the interruption: Goal proximity, perceived spare time, and impatience (2015)
- Management Science Irene Scopelliti - City University London Carey K Morewedge - Boston University Erin McCormick - Carnegie Mellon University H Lauren Min - University of Colorado at Boulder (PhD 2018) Sophie Lebrecht - Carnegie Mellon University Karim S Kassam - Carnegie Mellon University Bias blind spot: Structure, measurement, and consequences (2015)
- Journal of Consumer Research Margaret C Campbell - University of Colorado at Boulder Caleb Warren - Texas A&M University at College Station (PhD 2010) The progress bias in goal pursuit: When one step forward seems larger than one step back (2015)
- Journal of Consumer Research Christina Kan - University of Colorado at Boulder (PhD 2015) Donald R Lichtenstein - University of Colorado at Boulder Susan Jung Grant - Boston University Chris Janiszewski - University of Florida Strengthening the influence of advertised reference prices through information priming (2014)
- Journal of Consumer Research Caleb Warren - Texas A&M University at College Station (PhD 2010) Margaret C Campbell - University of Colorado at Boulder What makes things cool? How autonomy influences perceived coolness (2014)
- Journal of Consumer Research Rajesh Bagchi - Virginia Tech (PhD 2008) Amar Cheema - University of Virginia, McIntire (PhD 2003) The effect of red background color on willingness-to-pay: The moderating role of selling mechanism (2013)
- Journal of Marketing Chris Janiszewski - University of Florida Gina S. Mohr - Colorado State University, Ft. Collins (PhD 2009) Donald R. Lichenstein - University of Colorado at Boulder The effect of marketer-suggested serving size on consumer responses: The unintended consequences of consumer attention to calorie information (2012)
- Journal of Marketing Research Ji Hoon Jhang - University of Colorado at Boulder (PhD 2013) Susan Jung Grant - University of Colorado at Boulder Margaret C. Campbell - University of Colorado at Boulder Get It? Got It. Good! Enhancing new product acceptance by facilitating resolution of extreme incongruity (2012)
- Marketing Science Amar Cheema - University of Virginia, McIntire (PhD 2003) Dipankar Chakravarti - Johns Hopkins University Atanu R. Sinha - University of Colorado at Boulder Bidding behavior in descending and ascending auctions (2012)
- Journal of Consumer Research Rajesh Bagchi - Virginia Tech (PhD 2008) Derick F. Davis - Virginia Tech $29 for 70 items or 70 items for $29? How presentation order affects package perceptions (2012)
- Journal of Consumer Research Ashwani Monga - University of South Carolina at Columbia Rajesh Bagchi - Virginia Tech (PhD 2008) Years, months, and days versus 1, 12, and 365: The influence of units versus numbers (2012)
- Journal of Consumer Research Ravi Mehta - University of Illinois at Urbana-Champaign Rui (Juliet) Zhu - University of British Columbia Amar Cheema - University of Virginia, McIntire (PhD 2003) Is noise always bad? Exploring the effects of ambient noise on creative cognition (2012)
- Journal of Marketing Research Amar Cheema - University of Virginia, McIntire (PhD 2003) Vanessa M Patrick - University of Houston Influence of warm versus cool temperatures on consumer choice: A resource depletion account (2012)
- Journal of Marketing C. Page Moreau - University of Colorado at Boulder Leff Bonney - Florida State University Kelly B. Herd – Indiana University at Bloomington (PhD 2011) It’s the thought (and the effort) that counts: How customizing for others differs from customizing for oneself (2011)
- Journal of Consumer Research Margaret C. Campbell - University of Colorado at Boulder Gina S. Mohr - University of Colorado at Boulder (PhD 2009) Seeing is eating: How and when activation of a negative stereotype increases stereotype-conducive behavior (2011)
- Journal of Consumer Research Rajesh Bagchi - Virginia Tech (PhD 2008) Xingbo Li - Virginia Tech Illusionary progress in loyalty programs: magnitudes, reward distances, and step-size ambiguity (2011)
- Journal of Marketing Amar Cheema - University of Virginia, McIntire (PhD 2003) Rajesh Bagchi - Virginia Tech (PhD 2008) The effect of goal visualization on goal pursuit: implications for consumers and managers (2011)
- Journal of Marketing Research Dilip Soman - University of Toronto Amar Cheema - University of Virginia, McIntire (PhD 2003) Earmarking and partitioning: Increasing saving by low-income households (2011)
- Journal of Marketing Research Gulden Ulkumen - University of Southern California Amar Cheema - University of Virginia, McIntire (PhD 2003) Framing goals to influence personal savings: The role of specificity and construal level (2011)
- Marketing Science Laura J Kornish - University of Colorado at Boulder Qiuping Li - University of Colorado at Boulder (PhD 2010) Optimal referral bonuses with asymmetric information: Firm-offered and interpersonal incentives (2010)
- Journal of Consumer Research C. Page Moreau - University of Colorado at Boulder Kelly B Herd - University of Colorado at Boulder (PhD 2011) To each his own? How comparisons with others influence consumers' evaluations of their self-designed products (2010)
- Journal of Marketing Research Amar Cheema - University of Virginia, McIntire (PhD 2003) Andrew M Kaikati - University of Georgia The effect of need for uniqueness on word of mouth (2010)
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Ph.D. in Analytics
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The core mission of the Mendoza PhD in Analytics is to develop thought-leaders in the analytics space that are engaged in impactful, cutting-edge scholarly research that considers the ethical dimension of data and its usage. Graduates of the PhD program are well-positioned to attain academic jobs at top business schools, where they can pursue successful careers in data analytics intensive domains such as business analytics, data science, information systems, operations, and computational social science, conducting research that is impactful and supports human flourishing.
Why Attain a PhD in Analytics?
The PhD degree is intended for those interested in the pursuit of knowledge – creating knowledge through research and disseminating new knowledge to students in the classroom. The field of analytics is without question one that is having a profound impact on business and society. There is a need for new professors capable of pursuing knowledge related to themes such as leadership in an AI-enabled world , ethical human-centered analytics , impactful computational social science , and next generation digital experimentation . These are just a few examples – we encourage our doctoral students to pursue whatever topics they’re passionate about and support them throughout their journey.
Mendoza will host a DocNet recruiting fair for prospective PhD applicants on Tuesday, November 15th . Recruiters from a number of top business schools will be there, including Northwestern, Chicago, Harvard, MIT, Stanford, Berkeley, USC, Notre Dame, Duke, WashU, Emory, Michigan, Minnesota, Maryland, Wisconsin, Iowa, Indiana, and others.
Check-in will be 5:30pm ET in the Stayer Center for Executive Education. A panel discussion will be from 6:00-7:00pm ET in the Mendoza College of Business building next door. The recruiting fair will follow, from 7:00-8:00pm ET back in Stayer. The evening will then close with a reception in Notre Dame Stadium (Rasmus Family Club).
Click here for more information on the event, and to register. Registration is required, and is free for prospective applicants.
Why Notre Dame?
The Department of IT, Analytics, and Operations ( ITAO) is one of the premiere analytics departments, with world-class faculty, cutting-edge research labs, unparalleled industry connections, and access to a large network of Notre Dame alumni that are eager to support analytics thought-leadership.

Faculty Productivity and Reputation
The ITAO department encompasses a diverse set of faculty with significant research capabilities and extensive editorial board experience. ITAO faculty members currently serve in 10+ editorial roles at major journals related to analytics, information systems, and operations; and others have served in similar positions at quality journals previously. In recent years, ITAO faculty have won research awards at top journals and associations such as AIS, INFORMS, POM Society, and the IEEE.

Research Labs and Centers
The ITAO department has multiple analytics-focused research labs, including the Gaming Analytics Lab ( GAMA ) and the Human-centered Analytics Lab ( HAL ). Department faculty are also actively involved with the Notre Dame Technology Ethics Center ( ND-TEC ) and the Lucy Family Institute for Data and Society. Additionally, the Mendoza College of Business has a full-time dedicated data science team that supports data acquisition, collection, and wrangling as part of the Mendoza Behavioral Lab ( MBL ).

Partnerships with Industry
Our faculty routinely collaborate with various industry partners and federal agencies, including Electronic Arts, Ubisoft, eBay, Oracle, and NASA. The department is also actively involved with Notre Dame California ( ND California ), iNDustry Labs , and the Applied Analytics and Emerging Technology Lab (AeTL).

Cutting-edge Curriculum
It is essential that Ph.D. programs equip their graduates with the thorough, current training demanded by today’s market. Our analytics PhD program is well-positioned to produce “T-shaped” scholars that receive a foundation comprising select theories and ethics coursework, and depth via analytics methods courses and seminars. We see an opportunity to develop multi-dimensional scholars well-versed in contemporary analytics methods while also being adept at framing problems, thinking critically about the logic and flow between a problem and proposed solution, and capable of extrapolating their work to the bigger picture.

Institutional Prestige
Notre Dame is a Top 20 US News university with an international reputation and brand. A PhD from Notre Dame therefore sets our graduates up for success in academia at elite private schools or flagship state universities. Some of our graduates are also well-positioned for industry-oriented research roles.
The IT, Analytics, and Operations (ITAO) faculty use contemporary analytics methods such as machine learning, econometrics, statistics, and analytical modeling to study an array of research topics including ethics and privacy, health, sports and gaming, AI business applications, digital experimentation methods, and e-commerce:
- Ahmed Abbasi (AI, machine learning, text analytics)
- Corey Angst (health analytics, ethics, privacy, security)
- Nicholas Berente (digital innovation, managing AI, institutional change)
- Jeff Cai (statistical learning, network analysis, data science)
- Sarv Devaraj (business analytics, healthcare management, supply chains)
- Rob Easley (economic modeling, Internet auctions, e-commerce)
- Ken Kelley (psychometrics, statistical methods, human-centered analytics)
- John Lalor (machine learning, natural language processing)
- Junghee Lee (innovation/technology in supply chains, healthcare operations)
- Kirsten Martin (technology ethics, privacy, business responsibility)
- Xinxue (Shawn) Qu (innovation diffusion, data management, predictive analytics)
- Sriram Somanchi (machine learning, event and pattern detection)
- Yoon Seock Son (econometrics, mobile strategy, AI business strategies)
- Daewon Sun (pricing strategies, resource management, economics of IS)
- Margaret Traeger (computational social science, social networks, health analytics)
- Katie Wowak (supply chains, traceability in global networks)
- Yang Yang (machine learning, network analysis, computational social science)
- Xuying Zhao (analytical modeling, supply chains, service operations)
- Zifeng Zhao (statistical methods, large-scale forecasting, risk monitoring)
Program Structure
The program is designed to be five-years, full-time, in-residence. Click below for a year-by-year breakdown of how the program is structured.
In the first year, you will learn foundational theories, concepts, and methods related to analytics. ITAO seminar courses will include Human-centered AI, Philosophy of Science, and Computational Social Science. Methods related coursework will include classes related to machine learning, data science, statistics, and/or econometrics. Based on prior coursework, some students might be able to opt out of certain courses. In consultation with the program director, you will form a plan of study for methods courses and electives that align with your research interests.
At the beginning of the first year, you will also be assigned a faculty mentor that will guide your efforts related to the first-year research paper – the purpose of the first-year paper is to demonstrate the potential to produce high-quality scholarly manuscripts.
In year 2, you will continue to broaden and deepen your understanding of the analytics space with ITAO seminars related to Human-centered Statistics, Mathematical Modeling for Consumer Analytics, Operations and Prescriptive Analytics, and Data and Technology Ethics. At the end of the second year, you will have an examination requirement (in the form of an exam or paper). This examination will test your knowledge of ITAO seminar courses taken over the first two years. Your second-year faculty mentor will offer guidance on the paper.
You will wrap up any remaining coursework and turn your attention to pushing research projects towards publication.
In addition to managing your research portfolio, you’ll focus on finalizing your dissertation topic and defending your proposal.
The final year will involve interviewing for open positions, completing dissertation chapters, and having your final defense. And then, onward and upward into your exciting new career!

Marialena Bevilacqua received a BA in Math with a minor in Statistics from the College of Holy Cross in Massachusetts, where she was class president and captain of the field hockey and lacrosse teams. She attained an MS in Business Analytics from Georgetown University. Marialena was a brand operations analyst and manager plus “rookie of the year” at Thrasio.

Kezia Oketch attained a BS in Computer Science from Spelman College and an MS in Engineering, Science, and Technology Entrepreneurship from Notre Dame. She was a Gold Scholar at the Grace Hopper Conference and co-founded a research startup focused on technology-based solutions to the cancer crisis in Kenya. Kezia was also a software engineer at an Ohio-based tech company.

Will Stamey was a double major in Economics and Math at Baylor University, with a minor in Philosophy. He was a Baylor Fellow and Crane Scholar, and completed the health economics sequence. Will’s honors thesis explored the impact of online education on academic outcomes. He was also a researcher at the Colorado Summer Institute in Biostatistics.

Xinyuan Zhang completed her undergraduate coursework from the University of Sydney, where she double majored in Finance and Statistics and researched sentiment analysis in the Computing Finance Lab. Xinyuan received an MS in Statistics from UCLA – her thesis explored preference models for two-sided platforms. She was also a researcher in the Trusted AI Systems Lab at Nankai University.

As Director of the Analytics PhD program, I’m happy to answer any questions you might have about our program (or a PhD in general). Feel free to email me at [email protected] I look forward to connecting with you.
Our application deadline for the Fall 2023 incoming cohort is January 6, 2023 . You can apply using the “APPLY” button in the side menu (also appearing in the menu at the top of the page).
Ahmed Abbasi

Frequently Asked Questions
All students who are admitted to the program will be given a full tuition waiver. So the program is essentially tuition-free, with the only direct costs being miscellaneous university fees. In addition, all PhD students are paid a stipend of $40,000 a year. That stipend serves as compensation for your research activities (and for the teaching you would do in years three and four).
We require either the GRE or the GMAT, and have no preference between the two. If you’ve previously taken one of those tests, we require a score that is less than five years old. Unfortunately, the admissions committee will not waive the GRE/GMAT requirement under any circumstances.
It’s hard to say, as that is a function of a given application cycle, along with the rest of an applicant’s admissions portfolio. Most years, however, verbal and quantitative percentiles in the 80’s or above will be needed to advance to the short list.
Yes, if English is not your native language, or if English was not your language of college instruction. We accept either the TOEFL or the IELTS. If you’ve previously taken one of those tests, we require a score that is less than two years old.
You’ll fill out an online application form that will be linked on this site. And you’ll provide your resume, a statement of purpose/intent, three letters of recommendation, and unofficial transcripts of college (and any masters) degrees.
No. This sort of degree is best thought of as a research apprenticeship—where you are learning research skills in collaboration with faculty. That sort of collaboration requires a full-time, five-year, in-residence commitment.
Yes. While the program will prepare graduates to work in teaching institutions, government, and industry, the priority will be to prepare students for faculty roles so that they can be thought-leaders involved in teaching the next generation of analytics students and working to advance analytics-oriented research. Typically 80-90% of PhDs in Analytics take academic positions, while 10-20% pursue careers in industry (e.g., Silicon Valley, Wall Street, Think Tanks, etc.).
No. This is—first and foremost—a research degree. Teaching is part of the degree, as teaching is an important part of a professor’s career. But, if teaching or administration are your main focus, you might do a search for teaching-oriented PhD programs or Doctor of Business Administration (DBA) programs, which are sometimes also called Executive Doctorate programs.
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- Dissertation Areas and Joint PhD Programs
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- 100 Years of Pioneering Research
- PhD in Accounting
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PhD in Marketing
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Develop your research skills in consumer behavior or economics/quantitative methods and prepare for a career at a leading research institution.
Our Marketing PhD Program gives you a strong theoretical foundation and builds your empirical skills.
You’ll have the flexibility to explore marketing through Chicago Booth while taking courses across the university in psychology , sociology , economics , computer science , and statistics . You’ll also have access to computer science courses at Toyota Technological Institute at Chicago (TTIC) .
The doctoral program defines marketing broadly as the study of the interface between firms, competitors, and consumers. This includes but is not limited to consumer preferences, consumer demand and decision-making, strategic interaction of firms, pricing, promotion, targeting, product design/positioning, and channel issues.
Our Distinguished Marketing Faculty
Chicago Booth’s marketing faculty serve as advisors, mentors, and collaborators to doctoral students.

Daniel Bartels
Professor of Marketing

Pradeep K. Chintagunta
Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing

Giovanni Compiani
Assistant Professor of Marketing

Sanjay K. Dhar
James M. Kilts, Jr. Professor of Marketing

Berkeley J. Dietvorst
Associate Professor of Marketing

Kristin Donnelly

Jean-Pierre Dubé
James M. Kilts, Distinguished Service Professor of Marketing and Charles E. Merrill Faculty Scholar

Ayelet Fishbach
Jeffrey Breakenridge Keller Professor of Behavioral Science and Marketing and IBM Corporation Faculty Scholar

Guenter J. Hitsch
Kilts Family Professor of Marketing

Christopher K. Hsee
Theodore O. Yntema Professor of Behavioral Science and Marketing

Ann L. McGill
Sears Roebuck Professor of General Management, Marketing and Behavioral Science

Sanjog Misra
Charles H. Kellstadt Professor of Marketing

Bradley Shapiro
Professor of Marketing and True North Faculty Scholar

Stephanie Smith

Avner Strulov-Shlain

Abigail Sussman
Professor of Marketing and Beatrice Foods Co. Faculty Scholar

Oleg Urminsky
A network of support.
At Booth, you’ll have access to the resources of several research centers that help to fund marketing PhD research, host innovative conferences and workshops, and serve as focal points for collaboration and innovation.
James M. Kilts Center for Marketing The Kilts Center facilitates faculty research, supports innovations in the marketing curriculum, funds scholarships for MBA students, and creates engaging programs aimed at enhancing the careers of students and alumni.
Center for Decision Research Devoted to the study of how individuals form judgments and make decisions, the CDR supports research that examines the processes by which intuition, reasoning, and social interaction produce beliefs, judgments, and choices.
Scholarly Journals
Chicago Booth is responsible for the creation and leadership of some of the most prestigious academic journals today. Quantitative Marketing and Economics , for example, which focuses on problems important to marketing using a quantitative approach, was founded in 2003 by Peter E. Rossi, MBA ’80, PhD ’84.
See the full list of academic journals at Booth .
Alumni Success
PhD alumni in marketing go on to successful careers at top institutions of higher education across the world.
Katherine Burson, MBA ’04, PhD ’04
Associate Professor of Marketing Ross School of Business University of Michigan Katherine Burson studies judgment and decision-making in consumer behavior such as systematic biases in self-assessment, biases in numerical processing, and the antecedents of the biases. She has a PhD in marketing.
Sridhar Narayanan, PhD ’05
Associate Professor of Marketing Stanford Graduate School of Business Sridhar Narayanan’s research focuses on empirical analysis of marketing problems. He has studied problems such as online advertising, peer effects, and learning. Currently, his research is focused on online advertising and modernization of small retail businesses. His PhD is in marketing.
The PhD Experience at Booth
Rima Toure-Tillery, PhD ’13, talks about the Booth faculty’s open-door approach to PhD students.

Video Transcript
Rima Toure-Tillery, ’13: 00:00 I am assistant professor at Northwestern University, Kellogg School of Management. And I am a motivation scholar. I study questions related to factors that influence people's motivation to persist in various types of goals.
Rima Toure-Tillery, ’13: 00:21 I think the PhD's very different from an MBA. You expect to be doing very different things when you're done. With a PhD most of us expect to conduct research, continue to ask deep questions, and just work on finding answers to those questions.
Rima Toure-Tillery, ’13: 00:35 Booth PhD Program is extremely rigorous. You're going to learn from the best. There's a good mix of letting you be in charge of your career and being independent, but also being extremely supportive. Most faculty have an open-door policy so you could just email someone, go to their office and start talking about a research idea. They're really going to help you develop the whole research approach, and thinking about ideas, and taking them from that really half-baked stage to something more advanced. Being able to approach whatever faculty I'm most interested in working with, I think that really permeated my whole time here.
Rima Toure-Tillery, ’13: 01:13 Being in the program really helped me see things in a different light. I really developed some new research interests as I learned more about what I didn't know. You can't solve problems that you don't even know existed. It's been a really amazing experience.
Meet Our Students
PhD students in marketing choose Chicago Booth because our multidisciplinary approach gives them the tools and training for a successful career. Recent dissertations have examined everything from customer retention and consumer purchasing decisions to the economics of retail food waste. Recent graduates have accepted positions at leading research institutions, including UCLA and Columbia University, and have gone on to data science careers in industry.
Current Students
Vanessa Alwan
Salman Arif
Akshina Banerjee
Soaham Bharti
Samuel Borislow
Shweta Desiraju
Sara Drango
Fatemeh Gheshlaghpour
Nicholas Herzog
Stephanie Hong
Quoc Dang Hung Ho
Minkwang Jang
Daniel Katz
Xinyao Kong
Juan Mejalenko
Natalie Moore
Timothy Schwieg
Semyon Tabanakov
Ningyin (Ariel) Xu
Shuqiong (Lydia) Zhao
Walter Zhang
Spotlight on Research
Chicago Booth Review frequently highlights the work of marketing PhD faculty and students.
Are You Looking at Me?
Booth faculty and PhD alumni investigate the behavioral explanations for why companies like to turn products into people.
Are You Ready for Personalized Pricing?
Companies are figuring out what individual customers will pay—and charging accordingly. Chicago Booth’s Sanjog Misra explores new ways to set prices.
Why the Power of TV Advertising Has Been Overstated
Research from Chicago Booth’s Bradley Shapiro and Günter J. Hitsch suggests television advertising may be considerably less effective than published studies suggest.
Program Expectations and Requirements
The PhD Program at Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year.
For details, see General Examination Requirements by Area in the PhD Program Guidebook. Download the Guidebook

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The Programs PhD Fields of Study Marketing Marketing The marketing faculty embrace research traditions grounded in psychology and behavioral decision-making, economics and industrial organization, and statistics and management science.
PhD Programs in Marketing. The AMA helps potential doctoral students find the right program for them by maintaining a global list of PhD and DBA-granting institutions that offer the opportunity to specialize in marketing. If you would like your institution added to the list below, please email [email protected]
Marketing PhD students are trained to become thought leaders in academic marketing research. The curriculum provides expert-level training in statistical and experimental methods, quantitative marketing, predictive modeling and theory building.
Why Attain a PhD in Analytics? The PhD degree is intended for those interested in the pursuit of knowledge – creating knowledge through research and disseminating new knowledge to students in the classroom. The field of analytics is without question one that is having a profound impact on business and society.
She has a PhD in marketing. Sridhar Narayanan, PhD ’05 Associate Professor of Marketing Stanford Graduate School of Business Sridhar Narayanan’s research focuses on empirical analysis of marketing problems. He has studied problems such as online advertising, peer effects, and learning.