phd in network marketing

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Curriculum & Coursework

Our programs are full-time degree programs which officially begin in August. Students are expected to complete their program in five years. Typically, the first two years are spent on coursework, at the end of which students take a field exam, and then another three years on dissertation research and writing.

The Marketing program draws on computer science, economics, behavioral science, and psychological methods to focus on marketing problems faced by the firm and its management. Through a combination of discipline- and field-based methods, the curriculum enables students to master concepts and research skills directly relevant to business problems. Candidates must come to understand the point of view of practicing managers and be able to bring theory and careful research to bear in illuminating important business problems.

The program requires a minimum of 13 semester-long doctoral courses. Students in the Marketing program are required to complete a year-long discipline sequence typically in microeconomics or psychology. They also complete courses in the areas of machine learning, computer science, statistics, research methods, academic field seminars, and two MBA elective curriculum courses. In addition to HBS courses, students often take courses at other Harvard Schools and MIT.

Research & Dissertation

Students in Marketing begin research in their first year typically by working with a faculty member. By their third and fourth years, most students are launched on a solid research and publication stream. The dissertation may take the form of three publishable papers or one longer dissertation.

Recent examples of doctoral thesis research include: The effects of brand extensions on the value of parent brands; Multi-method examination of the consumption of “knockoffs” of high status brands, and the counter-intuitive positive outcomes for consumer-brand relationships; Competitive analysis of pricing and quality decisions in industries with strictly complimentary products; The psychological effects of pricing, and how these affect consumers and firms; and "Choice amnesia," the motivated forgetting of difficult decisions.

Mengjie "Magie" Cheng

Ta-Wei "David" Huang

“ Finding an advisor who you really click with and who is willing to support your research interests is absolutely key. ”

Current HBS Faculty

• Tomomichi Amano
• Eva Ascarza
• Max H. Bazerman
• David E. Bell
• Alison Wood Brooks
• Julian De Freitas
• Rohit Deshpande
• Anita Elberse
• Sunil Gupta
• Ayelet Israeli
• Leslie K. John
• Elizabeth A. Keenan
• Edward McFowland III
• Navid Mojir
• Das Narayandas
• Michael I. Norton
• V. Kasturi Rangan
• Isamar Troncoso
• Jeremy Yang
• Shunyuan Zhang

Current Marketing Students

• Stuti Agarwal
• Mengjie (Magie) Cheng
• Jingpeng Hong
• Ta-Wei (David) Huang
• Jimin Nam
• Lucy Shen
• Sihan Zhai

Current HBS Faculty & Students by Interest

Recent placement, emily prinsloo, 2023, ximena garcia-rada, 2021, serena hagerty, 2022, dafna goor, 2020, byungyeon kim, 2022, grant donnelly, 2018.

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• Dissertation Areas and Joint PhD Programs
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• PhD in Accounting
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PhD in Marketing

• Joint Program in Financial Economics
• Joint Program in Psychology and Business
• Joint PhD/JD Program

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

Assistant Professor of Marketing and Stevens Junior Faculty Fellow

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

Andreas Kraft

Assistant Professor of Marketing and Asness Faculty Fellow

Ann L. McGill

Sears Roebuck Professor of General Management, Marketing and Behavioral Science

Sanjog Misra

Charles H. Kellstadt Professor of Marketing and Applied AI

Bradley Shapiro

Professor of Marketing and True North Faculty Scholar

Stephanie Smith

Avner Strulov-Shlain

Assistant Professor of Marketing and Willard Graham Faculty Scholar

Abigail Sussman

Professor of Marketing and Beatrice Foods Co. Faculty Scholar

Oleg Urminsky

Alumni success.

PhD alumni in marketing go on to successful careers at top institutions of higher education across the world. 

Akshina Banerjee, PhD '23

Assistant Professor of Marketing Ross School of Business, University of Michigan-Ann Arbor Akshina studies linguistic influence on consumer decision-making, hierarchical choices, and mental accounting. Her interests are, thus, inherently interdisciplinary, with overlaps in marketing, linguistics, economics, and psychology. Her dissertation area is in behavioral marketing.

Olivia Natan, PhD ’21

Assistant Professor of Marketing Haas School of Business, UC Berkeley Olivia Natan studies how limited information affects consumer demand and firm behavior. Her empirical work focuses on settings with large product assortments. Her dissertation area is in marketing.

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 .

Spotlight on Current Research

Our faculty and PhD students continually produce high-level research. The Chicago Booth Review frequently highlights their contributions in marketing.

'Thank You Can Be a Loaded Phrase'

Depending on where you are in the world, this call could be welcomed—or considered strange or even rude, suggests research by Chicago Booth PhD student Jiaqi Yu and Booth’s Shereen Chaudhry.

Your Spending Habits Are All in Your Head

Booth Professor Daniel Bartels and Booth PhD [grad] Lin Fei have been examining how mental representation and the categorization of expenses are crucial to to people’s budgeting approaches.

Walter Zhang's BFI Industrial Organization Initiative Award

The Becker Friedman Institute will fund Zhang's research project, "Targeted Bundling" (coauthor: Olivia Natan, Booth PhD grad). Their project studies the pricing of digital goods and the potential for increased price targeting in differentiated product markets.

Can a Fictional Ad Man Help Sell Real Cigarettes?

How do depictions of tobacco use affect sales off-screen? Chicago Booth’s Pradeep K. Chintagunta and Sanjay K. Dhar, along with their coauthors Ali Goli (Booth PhD grad) and Simha Mummalaneni (UWashington), brought together several datasets to examine this question.

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

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 Andrew Sharng

Semyon Tabanakov Sophie (Jiarui) Wang

Ningyin (Ariel) Xu

Shuqiong (Lydia) Zhao Grace Zhang

Walter Zhang

Program Expectations and Requirements

The Stevens 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 Stevens Program Guidebook below.

Download the 2023-2024 Guidebook!

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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
• Misinformation

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

Jennifer aaker, szu-chi huang, jonathan levav, zakary tormala, s. christian wheeler, faculty in quantitative marketing, kwabena baah donkor, wesley r. hartmann, sridhar narayanan, navdeep s. sahni, emeriti faculty, james m. lattin, david bruce montgomery, michael l. ray, itamar simonson, v. “seenu” srinivasan, recent publications in marketing, express: using price promotions to drive children’s healthy choices in a developing economy, regulating privacy online: an economic evaluation of the gdpr, the allure of consensus: people (over)seek consensus in selecting group persuasion strategies., recent insights by stanford business, a little fun — and a discount — can steer kids to healthier foods, what people really think about search engine ads. (you might be surprised.), zoom in... or out why face-to-face meetings matter.

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MARKETING PH.D.

VIBRANT, SMART, AND CURIOUS

Over the last ten years, 100 percent of marketing Ph.D. students have accepted academic positions upon graduating, thanks in large part to faculty mentors at the top of their game.

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RESEARCH BREADTH

The world is your laboratory.

ACADEMIC LIFE AT McCOMBS

Mentorship and practice.

CAREER PLACEMENT

The world needs you, application deadline.

The application deadline for the Marketing Doctoral Program is December 15th.

Extraordinary business and economic growth have ushered in exciting times in our Marketing Department, with many graduates starting their careers at the world's leading research institutions. The program's primary goal is to develop students into skilled researchers and future leaders in academia by creating and disseminating marketing knowledge that reshapes the marketplace.

Consumer Behavior

Research focuses on issues related to the acquisition and retention of consumers and consumers' consumption of goods, services, ideas, and experiences. The research both relies on and contributes to theory in marketing, psychology, sociology, and economics and has practical relevance, answering questions that inform and improve marketing and public policy decisions and individual-level consumer well-being.

Marketing Strategy

Research focuses on issues related to firms' strategies and behaviors, including topics such as innovation management, sales force management, distribution channels, market entry strategy, technology strategy, new venture marketing, customer relationship management, and marketing metrics. The research spotlights substantive real-world problems, and generally, the insights from marketing strategy research have direct and actionable implications for marketing practice.

Quantitative Marketing

Research focuses on developing theoretical models and empirical methods for applied marketing problems, drawing from economic theory, statistics, econometrics, and computer science to uncover novel insights, challenge existing theory, and advance marketing practice. The research, combining computational advances, fruitful collaborations with industry, and explosive growth in data availability, along with strong student demand for analytical training, portends a fulfilling academic career for those interested in quantitative marketing.

RESEARCH METHODOLOGIES

A wide variety of research designs is used, and mastery of quantitative and qualitative data analysis techniques is essential.

PREPARATION AND QUALIFICATIONS

The Texas McCombs Marketing doctoral program assumes that students have taken advanced courses to establish a reasonable mathematical, statistics, and economics background. Adequate computer programming skills are necessary for coursework.

Prospective applicants are required to hold a four-year bachelor's degree (does not require a formal degree in the area of study) or equivalent before starting the program. There are no additional prerequisites or requirements for the Marketing department.

See Admissions for further information.

CAREER DESTINATIONS

The primary goal of the Texas McCombs Ph.D. program is to prepare students for exceptional academic careers. Over the last five years, McCombs Marketing Ph.D. alumni have excelled at top institutions globally.

Recent Graduate Placements

Current students and *job market candidates.

Abbott, Paige

Alam, Meher

Basak, Somdatta,

Chavez Montes, Marcelino

Gautam, Aprajita

Ghosh, Robina

Niknejad Moghadam, Mahdi*

Nivsarkar, Anima

Shu, Runyang

Sridhar, Sachin

Urdaneta Romano, Constanza

Winer, Sarah

Wu, Xiaohan Jessica

Yu, Lingzhi

Zhang, Zhengwei (Harrison)

Paige Abbott

Somdatta Basak

Marcelino Chavez

Aprajita Gautam

Robina Ghosh

Mahdi niknejad moghadam*.

Anima Nivsarkar

Runyang Shu

Sachin Sridhar

Constanza Urdaneta Romano

Sarah Wiener

Xiaohan (Jessica) Wu

Zhengwei (Harrison) Zhang

ARE YOU READY TO CHANGE THE WORLD?

The Texas McCombs Doctoral Program is seeking individuals who are interested in transforming the global marketplace. Are you one of these future thought leaders?

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What We Are Looking for in Applicants

Consumer behavior program requirements, quantitative program requirements.

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Our Current PhD Students

Learn more about our faculty, faculty journal publications & books.

PhD | Marketing

The Ph.D. in Marketing

Stern’s Ph.D. program in marketing trains students to perform research in a broad array of behavioral areas such as consumer psychology, information processing, and judgment and decision making. The program also teaches students how to conduct research that develops econometric and statistical models to investigate consumer, firm, and market phenomena. The behavioral work in the department emphasizes experimental methodologies while the marketing science research focuses on structural models and Bayesian analyses. Applications of theory focus on current topics such as branding, social networks and media, word of mouth, and the use of digital media. The department is proud of a long tradition of close collaboration between doctoral students and faculty members.

Explore Marketing

Discover our other fields of study.

The Network Science PhD program is a pioneering interdisciplinary program that provides the tools and concepts aimed at understanding the structure and dynamics of networks arising from the interplay of human behavior, socio-technical infrastructures, information diffusion and biological agents.

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Nation’s 1st Network Science PhD Program

The PhD in Network Science is a pioneering interdisciplinary program that provides the tools and concepts aimed at understanding the structure and dynamics of networks. Network Science research covers a broad range of topics, including: Control of Networks, Biological Networks, Spreading and Influence, Group-Decision Making, Social and Political Networks, Data and Graph Mining, and Network Geometry.

Northeastern University is a world leader in Network Science, and faculty affiliated with the program includes prominent leaders in the field such as Albert-László Barabási, Alessandro Vespignani, Tina Eliasi-Rad, and David Lazer. Graduates will be well-prepared to enter into a number of career paths, including industry research positions, government analyst positions, and post-doctoral or junior faculty positions in academic institutions. Students have the opportunity to work with some of the most prominent network scientists in the world. With frequent guest lecturers and workshop series, students have access to diverse scientists and global leaders in the field.

• Northeastern has several leading laboratories and centers in Network Science, with dozens of faculty, postdoctoral fellows, visiting faculty, and doctoral students
• Ph.D. students complete two research rotations with network science faculty
• Admitted PhD students receive full tuition scholarship and are supported with stipends or fellowships for the entire duration of their program
• Ph.D. students must complete and defend a dissertation that involves original research in Network Science

INTERDISCIPLINARY RESEARCH In-depth training in disciplines and programs essential to interdisciplinary research. Current concentrations are focused on the physical sciences (physics); social sciences (political science); health science (epidemiology); and computer and information sciences.

FOUNDATIONAL TRAINING Common, foundational training in all aspects of Network Science (e.g., approaches, languages, problems) beginning in the first year of graduate training to build an inherently interdisciplinary science and the next generation of researchers.

IDEAS + TECHNIQUES Learning to combine theoretical/ substantive questions with the appropriate tools and techniques for data collection and analyses. A key element will be combining ideas, techniques, and collaborations into the novel interdisciplinary approaches that are paramount to Network Science.

Network Science is establishing itself as major interdisciplinary research area with applications in data science and data analytics methodologies. Network scientists are employed in academia, government, and business. Applied network scientists work at Internet and social media companies.

Application Materials

• Online application
• Application fee
• Unofficial transcripts for all institutions attended (Official transcripts required upon acceptance of admission offer)
• Personal statement
• Three letters of recommendation
• GRE General – recommended, but not required
• Degree earned or in progress at an U.S. institution
• Degree earned or in progress at an institution where English is the only medium of instruction
• Official exam scores from either the TOEFL iBT, IELTS, or  PTE exam
• Applicants seeking enrollment prior to the Fall 2023 term should apply through this  link .

Application

Deadline for completed applications: December 1st

Applicants seeking enrollment prior to the Fall 2023 term should apply at the link under application materials below.

• Program Website

Request Information for PhD in Network Science

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PhD in Marketing

UNC Kenan-Flagler is a global leader in the field of empirical modeling and a destination department for marketing scholars who have a genuine interest in combining managerial relevance with academic rigor. The Marketing Area conducts managerially relevant research using rigorous empirical and analytical techniques, creates synergy between their research and teaching, and makes an impact on the business community and society by actively disseminating their insights.

PhD Marketing students learn to conduct research using rigorous empirical and analytical techniques. As a doctoral student, you will learn to unlock the full value of marketing data to better understand customers and improve marketing efforts. We actively share the newfound insights we glean to benefit the business community and society.

Typical Course Schedule by Year

During the first two years of the PhD program, you focus on courses that develop the tools you need to produce high-quality research. A faculty member, who acts as your advisor, is assigned to you when you enter the program.

• Marketing I
• Marketing II
• Issues in the Design and Analysis of Research in Marketing
• Seminar in Marketing Research Methodology
• An original research paper written under the supervision of a faculty member is required for presentation and critique.
• Economic Foundations in Marketing
• Advanced Psychometric Measurement and Data Analysis in Marketing
• A Comprehensive Written Examination covers all of the courses you take in the first two years of the PhD program
• An oral presentation of your current research
• Full-time research
• With consent of your advisor, you may attend/participate or present at external national or international conferences after your second year.
• Dissertation and Oral Defense is expected prior to the end of the fifth year.
• Preparing for the job market
• PhD students may take any elective course offered by UNC Kenan-Flagler or other UNC or Duke departments with guidance from your advisor.
• Your are invited to participate in all marketing-related research seminars and guest speakers offered at UNC Kenan-Flagler.

View our current Marketing PhD students .

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FAQ about the PhD in Marketing

Questions regarding a phd in marketing, what kind of research is done in marketing.

Marketing research is vast and varied, encompassing a wide range of topics and methodologies to understand how consumers and firms behave and interact in markets.

In terms of research interests, the list is long, but here’s a glimpse of broad areas of interest in our field:

• What makes businesses successful?
• How do individuals, families, or firms make decisions? 
• What makes products and marketing campaigns successful?
• How can firms better compete in markets?
• How do platforms operate and should be designed?
• How can we improve consumer welfare and well-being?

Below is also a small selection of recent research areas in our department:

• How does fake news affect decisions, and how do social media algorithms affect news and content consumption
• The impact of new technologies such as AI and LLMs on consumer behavior and firm competitiveness
• The design of digital platforms and marketing campaigns to encourage different outcomes such as fairness, equity and efficiency
• Development of new machine learning methods to tackle data sparsity issues and measure consumer heterogeneity in preferences
• Deployment and analysis of large scale field experiments to test behavioral nudges and improve social welfare

There is much more – we encourage you to visit the department’s website and look at the individual faculty pages, who showcase their recent research projects.

What is the typical academic background of a marketing researcher?

Because marketing draws from so many fields, the “typical” background is quite diverse. Our students and faculty have fundamental training in fields such as Psychology, Sociology, Economics, Statistics, Computer Science, Math, Physics, Engineering and more.

I don't have a background in marketing - should I apply?

You do not need prior background in marketing. Many of our faculty come from other diverse fields, such as Psychology, Sociology, Statistics, Computer Science, and Economics. Our program is designed to expose students to the field of marketing while capitalizing on their strong academic background, which is often in other fields.

Do I need to know what I want to research in order to apply?

No, you do not need to know what you want to research in order to apply. However, if you can share in your application the types of research ideas and topics you are interested in, we’ll be better able to determine if our program is a match for you.

Do I need someone to agree to advise me to be admitted?

You do not need to find an advisor prior to admission. We admit students centrally to the department, and students work on matching up with an advisor in their first two years.

Questions about Wharton

What makes the wharton marketing department unique.

Wharton’s Marketing Department is one of the largest (if not the largest) in the world, which allows us to have an unparalleled breadth of research areas and methods that faculty and students apply. We often say that if you work on something, and have a question, there is always someone close by who probably knows the answer.

Our department takes pride in focusing on relevant and applied research that creates impact both in academia and the business world. Many of our faculty and students also collaborate with companies and researchers in other fields to generate novel and exciting knowledge.

What makes the Wharton Marketing PhD Program unique?

As a PhD student at Wharton, you will belong to an elite group of students in one of the world’s top business schools. You will have access to vast research resources, learn from and work with amazing world-class faculty, and be a part of an exciting and active group of students.

Where do graduates of the program usually go?

Most of our graduates become faculty in top research universities. For example, recently our graduates took faculty positions at Northwestern, Stanford and Yale. You can see our recent placements here: https://marketing.wharton.upenn.edu/phd-recent-alumni/

What is life in Philadelphia like?

Philadelphia, founded in 1682, is a large modern international and multicultural city with strong historic roots. It has approximately 1.5M in population in the city proper and 6M population in the Metro area. The city is located in the northeast United States, between New York City (1:20 hours by train) and Washington DC (1:45 hours by train). 

As one of the largest cities in the US, and because of its historical roots as the original capital of the US, Philadelphia is extremely walkable, has a vibrant food and nightlife scene, and access to all amenities expected from a global city, including many parks, music venues, museums and other attractions. Philadelphia is also home to 3 large research universities and 5 medical schools, creating a vibrant student and research focused environment.

What are the housing options for students?

Most of our PhD students live in Center City (Downtown) or University City close to campus (West Philly) which are walking distance from campus. For more information see  https://gsc.upenn.edu/resources/wellness/living-philadelphia .

What is the cost of living in Philadelphia?

Philadelphia is considered as one of the most affordable large cities in the US. For  a sense of the cost, you can check out Numbeo .

Does the program support PhD students with children?

The PhD program supports students with children with extended funding time as well as additional resources made available by the university.

Questions about the program and its structure

Why does wharton’s program have a behavioral and a quantitative track.

Behavioral and quantitative approaches both offer useful insights and tools for theory building and research practice. We therefore encourage students to appreciate both. However, it is very difficult to become an expert in both areas within only 5 years. We therefore offer two tracks. This enables you to make deep contributions in your chosen area of expertise, while still developing a sufficiently broad perspective to become an active member of the marketing community as a whole and to leverage a wider and richer set of ideas.

What are the main differences between the behavioral and quantitative tracks?

The main difference between the tracks is in the type of methods used to answer research questions, and to some extent the focus of the research questions. 

Behavioral research mostly focuses on consumers and their decision making, and can be seen as part of applied psychology and behavioral economics research. The methods used in behavioral research often involve lab experiments with human subjects, or large field experiments. More recently, behavioral research also employs text analysis and other machine learning tools for analysis of non-structured data (like images, videos, or LLMs).

Quantitative research can focus on consumers, firms or their interaction. It applies tools from applied economics, computer science, applied statistics or computational social science. Much of the recent research would fall under the definition of data science.  The methods used in this research include analysis of large scale observational data using machine learning, statistical and econometric tools, game theory, or the design of experiments and analysis of their data, often gathered in large scale online experiments.

What is the joint program in Psychology and Marketing?

This program allows a student who was admitted to Penn’s PhD program in Psychology to also graduate with a joint PhD in Marketing, and vice-versa.

For more information about the program, please see: https://marketing.wharton.upenn.edu/joint-doctoral-degree-in-marketing-and-psychology/

How long does the program usually take?

Our program is designed as a five-year program.

Does everyone receive funding? For how long?

All students are fully funded for 5 years. Students receive a living stipend and health insurance. In addition, all tuition and school fees are fully covered. If needed, students can receive additional funding for a sixth year (assuming they are in good academic standing).

Is there a teaching requirement in the program?

There is no teaching requirement in the program. However, students often benefit from teaching experience and there are many teaching opportunities available for students. Teaching is compensated, in addition to students’ graduate stipend.

Can I complete the Phd part-time?

No. The Wharton PhD Program is a full-time program.

Is the PhD in Marketing classified as STEM?

The Wharton Marketing PhD is STEM. However, the rules about STEM degrees are not determined by us, so we recommend reaching out to the Wharton Doctoral Program or Penn ISSS for up to date information.

What prior coursework is required/recommended?

For the behavioral track, past work in psychology, sociology, consumer behavior and data analysis offers a strong basis for a PhD. For the quantitative track, a strong mathematical background, exposure to proof-based courses, as well as emphasis on Economics and data analysis is helpful.  Prior experience with computer programming (e.g., Python, R), preferably with emphasis on machine learning and econometrics is also recommended. Across both tracks, strong written and oral communication skills are necessary.

Questions about application and admissions

Can i receive feedback about my application before submitting it.

To ensure fairness and equity in out application process, we do not provide feedback on applications.

What do you look for in a successful application?

 We are looking for bright minds with a keen interest in research in marketing who are looking to make a positive change in the world through their scholarly endeavors and develop a successful career in the world’s top research universities.  Among the criteria we consider are evidence of strong academic training and prior research. We also look for a high level of motivation and demonstrated ability to collaborate, embrace challenges, and work independently.

Do I need prior research experience to be admitted?

Students with past research experience can begin to develop their own research faster. Indeed, most students admitted recently often have prior research experience, whether in industry, as a research assistant, or in another graduate degree program.

However, you do not need prior research experience to be admitted.

How many applications do you receive every year?

Approximately 100.

How many students start the program every year?

Between 2 and 5.

Can you waive my application fee?

All application fee waivers are decided centrally by the Wharton Doctoral Program Office. If you need one, please visit Wharton’s doctoral page here for more information:: https://doctoral.wharton.upenn.edu/faq/ .

What exams are required for admission?

A GRE or GMAT is needed for all applicants. In addition, international students who didn’t study in an English-speaking institution will need a TOEFL. You can find more details here: https://doctoral.wharton.upenn.edu/faq/

Is the deadline for recommendation letters the same as for the application?

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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  
• Aston Business School
• Athens University of Economics & Business  
• Bilkent University 
• Bocconi University  
• Boğaziçi University
• Cardiff University  
• City, University London  
• Copenhagen Business School
• Cranfield University  
• Erasmus Research Institute of Management  
• ESSEC Business School
• Frankfurt School of Finance & Management  
• Goethe-Universitaet Frankfurt  
• Grenoble Ecole de Management  
• HEC Paris  
• Hanken School of Economics  
• INSEAD 
• ICTE Business School  
• Kingston University  
• Koc University  
• Lancaster University  
• Loughborough University 
• Lausanne University  
• London Busines s School  
• Maastricht University  
• Manchester Business School  
• Nottingham University  
• Tilburg University  
• Umea University  
• University of Bradford
• University College Dublin 
• University of Cologne​
• University of Exeter  
• University of Glasgow  
• University of Grenoble  
• University of Groningen
• University of Guelph  
• University of Liverpool  
• University of Mannheim
• University of Muenster
• University of Navarra, IESE  
• University of St. Gallen 
• University of Southern Denmark  
• University of Stirling​
• University of Strathclyde 
• University of Valencia  
• VU University Amsterdam 
• Wilfrid Laurier University 
• Warwick Business School 
• Yeditepe University
• Carleton University  
• Concordia University 
• HEC Montréal  
• Laval University  
• McGill University
• McMaster University  
• Queen’s University
• Simon Fraser University 
• University of Alberta 
• University of British Columbia 
• University of Calgary
• University of Manitoba​
• University of Toronto  
• Western University  
• York University ​

Australia and New Zealand

• Bond University 
• Deakin University
• Griffith University​ 
• La Trobe University  
• Macquarie Graduate School of Management 
• Melbourne Business School  
• Monash University 
• Queensland University of Technology 
• Royal Melbourne Institute of Technology 
• University of Adelaide 
• University of Ballarat 
• University of Canterbury​
• University of Melbourne 
• University of Newcastle 
• University of New South Wales  
• University of Otago 
• University of South Australia  
• University of Sydney 
• University of Technology, Sydney  
• University of Western Australia 
• University of Wollongong

United States of America

• Arizona State University  
• Bentley University  
• Boston University 
• Carnegie Mellon University 
• City University of New York (Baruch College) 
• Cleveland State University 
• Cornell University 
• Columbia University  
• Drexel University  
• Duke University  
• Emory University  
• Florida Atlantic University  
• Florida International University 
• Florida State University
• Fordham University  
• George Washington University 
• Georgia Institute of Technology  
• Georgia State University 
• Grand Canyon University  
• Harvard University  
• Indiana University  
• Iowa State University  
• Kennesaw University 
• Kent State University  
• Louisiana State University
• Louisiana Tech University  
• Massachusetts Institute of Technology  
• Michigan State University  
• Mississippi State University 
• Morgan State University 
• New Mexico State University 
• New York University  
• Northwestern University  
• The Ohio State University 
• Oklahoma State University  
• Old Dominion University
• Pace University  
• Pennsylvania State University  
• Purdue University  
• Rutgers University  
• Saint Louis University 
• Southern Illinois University  
• Stanford University  
• State University of New York, ​Binghamton  
• Syracuse University 
• Temple University  
• Texas A & M University  
• Texas Tech University 
• University of Alabama 
• University of Arizona  
• University of Arkansas 
• University at Buffalo  
• University of California, Berkeley  
• University of California, Irvine  
• University of California, Los Angeles
• University of California, Riverside
• University of California, San Diego  
• University of Central Florida 
• University of Chicago 
• University of Cincinnati 
• University of Colorado at Boulder  
• University of Connecticut  
• University of Florida  
• University of Georgia 
• University of Hawaii at Manoa  
• University of Houston  
• University of Illinois at Urbana Champaign 
• University of Illinois at Chicago 
• University of Iowa  
• University of Kansas 
• University of Kentucky 
• University of Maryland  
• University of Massachusetts – Amherst
• University of Massachusetts – Lowell  
• University of Memphis  
• University of Miami 
• University of Michigan  
• University of Minnesota  
• University of Mississippi  
• University of Missouri 
• University of Nebraska-Lincoln  
• University of North Carolina 
• University of North Texas 
• University of Oklahoma 
• University of Oregon  
• University of Pennsylvania  
• University of Pittsburgh 
• University of Rhode Island 
• University of Rochester  
• University of South Carolina  
• University of Southern California  
• University of South Florida  
• University of Tennessee 
• University of Texas – Arlington 
• University of Texas at Austin – Marketing 
• University of Texas – Dallas 
• University of Texas – El Paso​
• University of Texas – Rio Grande Valley  
• University of Texas – San Antonio 
• University of Utah  
• University of Virginia 
• University of Washington  
• University of Wisconsin-Madison 
• University of Wisconsin-Milwaukee 
• University of Wyoming  
• Vanderbilt University 
• Virginia Polytechnic Institute and State University  
• Washington State University  
• Washington University in St. Louis  
• West Virginia University 
• Yale University  
• Wayne State University  ​​​

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Marketing PhD Program

Marketing is an interdisciplinary field that examines the interactions of consumers and businesses in the marketplace. Academic research in marketing draws upon theories and methodology from a wide variety of fields, including psychology, sociology, mathematics, statistics, and economics. Faculty members in Marshall’s marketing department represent numerous theoretical backgrounds and substantive interests. As mentors, they encourage students to identify their own interests and develop the analytic and methodological skills to pursue their own research questions.

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CONCENTRATIONS

Quantitative marketing.

This area of marketing shares theories and methodologies with economics, mathematics, and statistics. Faculty advising students in this area are experts in a variety of topics such as

• Applications of artificial intelligence in marketing
• Understanding how businesses manage social interactions
• The impact of digital platforms on different industries
• Social networks and network structures in markets
• Strategic pricing decisions
• Distribution-channel strategies
• Innovation and product growth
• Global markets

Consumer Psychology

This area of marketing shares theories and methodologies with social and cognitive psychology and behavioral economics. Faculty advising students in this area are experts in a variety of topics such as

• Status and luxury goods
• Branding and consumers’ attachments to brands
• Consumers’ strategies to maintain a positive self-evaluations
• Emotions and their effects on consumers’ valuations of products
• How the use of technology affects consumers’ enjoyment and memories of experiences
• Consumers' responses to service and product failure
• Budgeting and saving decisions
• Consumer Creativity

Developing Marketing Scholars

The aim of the PhD program in marketing at USC is to develop outstanding researchers and prepare them for productive careers in academia. During their studies, students will transition from consumers of knowledge to producers and disseminators of knowledge.

Marshall’s PhD program in marketing is highly selective. The small size of the program allows for close collaborations between students and faculty and for students to tailor their program of study to fit their background and research interests.

From the beginning of the program, students have the opportunity to engage in different research projects and receive guidance and mentorship from faculty experts. Students are strongly encouraged to develop their own research program and have the freedom to pursue their own ideas.

Faculty members are experts in their areas and are highly committed to the training and guidance of PhD students.

Faculty Coordinator: Gülden Ülkümen, Professor of Marketing

REQUIREMENTS

During their first two years in the program, students are required to complete a series of classes in marketing as well as in other departments in Marshall and USC at large.

Within marketing, PhD students complete four marketing seminars (two in quantitative marketing and strategy, two in consumer behavior). These seminars cover the key areas of academic marketing research and provide students a broad perspective of the field of marketing.

Fall Semester — Even Years

MKT 613: Marketing Models in Consumer and Business-to-Business Markets

Spring Semester - Odd Years

MKT 616: Consumer Behavior Theory and Research

Fall Semester - Odd Years

MKT 615 Strategic and Marketing Mix Models

Spring Semester - Even Years

MKT 618: Consumer Behavior and Decision Making

In addition, students take classes in other departments in the business school (e.g., Management and Organizational Behavior, Data Science), as well as in departments across campus (e.g., economics, psychology, statistics, computer science).

First Year Summer Research Paper

The first year paper allows students to develop their own research interest and to demonstrate their research potential. Students develop an original research question and provide initial tests of their predictions. A faculty mentor and other marketing faculty form the first year research paper committee that guides the student’s process.

Qualifying Exam

Following the spring semester of their second year, students will take part in a qualifying exam that leads to the assessment of whether the student is ready for ascension to candidacy. The topics pursued in the qualifying exam often evolve into a substantial portion of the student’s dissertation. A faculty mentor and other faculty members from marketing and from outside the department form the qualifying exam committee that guides the student’s process.

After passing the qualifying exam, students are admitted to PhD candidacy and pursue their research, culminating in their dissertation.

Research Mentorship

Students work with different research mentors over the course of the program. In the first two years, students work with different faculty member each semester, in order to expose students to different researchers and research approaches. By the end of year two, students should have identified a primary research mentor who will guide them until completion of the dissertation, i.e., their faculty advisor.

Year 1: In year 1, the research mentor aims to advise the student with their courses, studies, and overall strategies in the program. Students may assist with a faculty research project if it offers a good learning experience and does not interfere with classes and other program requirements. In some cases, the relationship may involve the student working on their own research project, in which case the research mentor serves as an advisor. Further, the research mentor may be involved in guiding the development of the first-year paper.

Year 2: In year 2, the student should gain further research skills by assisting the faculty mentor with a research project that offers a good learning experience. Activities may include data collection, data cleaning, data organizing, coding, and estimation for empirical projects, and checking models and proofs for theoretical projects. In some cases, the relationship may involve the student working on their own research project, in which case the research mentor serves as an advisor. Further, the research mentor advises the student in developing the second-year paper.

Year 3: In year 3, the student will continue to gain research skills by working on research projects from previous years that should involve different faculty. If not yet done, the student will start developing their own research projects and agenda. The research mentor will primarily serve as an advisor.

Year 4: In year 4, the student will continue to improve their research skills, advancing research projects from previous years, and start new ones. The research mentor will continue to serve as an advisor.

Year 5: In year 5, the research mentor serves to advise the student on completion of the dissertation. In most cases, the advisor will serve as the student’s dissertation chair.

You will work hands-on in a thriving research culture with constant exposure to new and important ideas. Marshall is ranked 5th in the world in research for the years 2018–2022 by the UT-Dallas Research Rankings.

Our faculty regularly publish in the field’s top journals, such as:

• Journal of Marketing
• Journal of Marketing Research
• Journal of Consumer Research
• Marketing Science
• Management Science

Our faculty also continuously publish in the premiere journals of related disciplines

• American Economic Review
• Journal of Personality and Social Psychology
• Journal of experimental Psychology: General
• Psychological Science
• The Rand Journal of Economics

Selective List of Journal Publications With Students

From the very beginning of the program, students collaborate with faculty on research projects with the goal of producing research that will be published in the top journals. Below, please find a selection of recent articles that resulted from these collaborations. * denote current or former PhD students.

Ceylan*, Gizem, Kristin Diehl, and Wendy Wood (forthcoming), “To Imagine or Not to Imagine: A Meta-Analysis Investigating the Effectiveness of Mental Simulation of Positive Experiences on Behavior,” Journal of Marketing .

Ceylan*, Gizem, Kristin Diehl, and Davide Proserpio (forthcoming), “Words Meet Photos: When and Why Visual Content Increases Review Helpfulness,” Journal of Marketing Research .

Chandrasekaran*, Deepa, Gerard J. Tellis and Gareth James (2022), “Leapfrogging, Cannibalization, and Survival during Disruptive Technological Change: The Critical Role of Rate of Disengagement,” Journal of Marketing.

D’Angelo*, Jennifer K., Kristin Diehl, and Lisa A. Cavanaugh. "Lead by Example? Custom-Made Examples Created by Close Others Lead Consumers to Make Dissimilar Choices." Journal of Consumer Research 46, no. 4 (2019): 750-773.

Donovan*, Leigh Anne and Priester, Joseph (2020). Exploring the psychological processes that underlie interpersonal forgiveness: Replication and extension of the model of motivated interpersonal forgiveness. Frontiers in Psychology.

Donovan*, Leigh Anne Novak, and Joseph R. Priester. "Exploring the psychological processes underlying interpersonal forgiveness: The superiority of motivated reasoning over empathy." Journal of Experimental Social Psychology 71 (2017): 16-30.

Dukes, Anthony and Yi Zhu* (2019) “Why Customer Service Frustrates Consumers: Exploiting Hassel Costs by a Tiered Customer Service Organization,” Marketing Science, 38(3): 500-515.

Hong*, Jihoon, Max Wei and Gerard J. Tellis (2022), “Machine Learning for Creativity: How Similarity Networks Can Identify Successful Projects in Crowdfunding,” Journal of Marketing .

Jayarajan*, Dinakar, S. Siddarth, and Jorge Silva-Risso. "Cannibalization vs. competition: An empirical study of the impact of product durability on automobile demand." International Journal of Research in Marketing 35, no. 4 (2018): 641-660.

Paulson*, Courtney, Lan Luo, and Gareth M. James. "Efficient large-scale internet media selection optimization for online display advertising." Journal of Marketing Research 55, no. 4 (2018): 489-506.

Pei*, Amy, and Dina Mayzlin (2021), "Influencing the Influencers." Marketing Science, forthcoming.

Proserpio, Davide, Isamar Troncoso*, and Francesca Valsesia* (2021) "Does gender matter? The effect of management responses on reviewing behavior." Marketing Science, Forthcoming.

Gerard J. Tellis, Ashish Sood, Nitish Sood, Sajeev Nair* (2023), “Lockdown Without Loss? A Natural Experiment of Net Payoffs from to Covid COVID-19,” Journal of Public Policy and Marketing .

Troncoso*, Isamar and Lan Luo (2023), “Look the Part? The Role of Profile Pictures in Online Labor Marketplace,” Marketing Science .

Valsesia*, Francesca and Kristin Diehl (2022), “Let Me Show You What I Did Versus What I Have: Sharing Experiential Versus Material Purchases Alters Authenticity and Liking of Social Media Users,” Journal of Consumer Research¸ Volume 49, October, p. 430-449.

Tellis, Gerard J., Deborah J. MacInnis, Seshadri Tirunillai*, and Yanwei Zhang*. "What drives virality (sharing) of online digital content? The critical role of information, emotion, and brand prominence." Journal of Marketing 83, no. 4 (2019): 1-20.

Valsesia*, Francesca, Kristin Diehl, and Joseph C. Nunes (2017), “Based on a True Story: Making People Believe the Unbelievable,” Journal of Experimental Social Psychology, 71, 105-110

Valsesia*, Francesca, Joseph C. Nunes, and Andrea Ordanini (2021), “I Am Not Talking to You: Partitioning an Audience in an Attempt to Solve the Self-Promotion Dilemma,” Organizational Behavior and Human Decision Processes, 165, 76-89.

Valsesia*, Francesca, Davide Proserpio, and Joseph C. Nunes. "The Positive Effect of Not Following Others on Social Media." Journal of Marketing Research (2020): 0022243720915467.

Xu*, Zibin, Yi Zhu and Shantanu Dutta (Forthcoming), “Platform Screening Strategies And The Role of Niche Sellers on Service Provision”, International Journal of Research in Marketing

Xu*, Zibin and Anthony Dukes, (2021) “Personalization, Customer Data Aggregation, and the Role of List Price,” Management Science, forthcoming.

Xu*, Zibin, and Anthony Dukes. "Product line design under preference uncertainty using aggregate consumer data." Marketing Science 38, no. 4 (2019): 669-689.

Zhang*, Mengxia and Lan Luo (2023), “Can Consumer Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp,” Management Science , Vol. 69, No. 1, 25–50

Zhu*, Yi and Anthony Dukes (2017), “Prominent Attributes under Limited Attention,” Marketing Science, 36(5): 683-698.

Faculty Honors

The research of our faculty has been recognized repeatedly as innovative and highly impactful. Faculty members have been named fellows in the field’s leading professional organizations.

• American Marketing Association IO Lifetime Achievement Award
• Vijay Mahajan Lifetime Contribution to Marketing Strategy Award
• Alpha Kappa Psi Award
• Harold H. Maynard Award
• William F. O’Dell Award
• Donald R. Lehmann Award
• John D.C. Little Award
• INFORMS Society for Marketing Science Long-term Impact Award
• Fellow of INFORMS Society for Marketing Science
• Fellow of American Marketing Association
• Fellow of Association of Consumer Research
• Fellow of Society of Consumer Psychology

Proven Thought Leaders

Our faculty have a substantial role in shaping the discipline through their positions as editors, associate editors and editorial board members of:

• Journal of Consumer Psychology

Our faculty also include former presidents of major professional organizations, such as the Association for Consumer Research, the Association for Consumer Psychology, and INFORMS Society of Marketing Science (ISMS).

Program Culture

The culture of the program is research focused, collegial, supportive, and highly interactive. PhD students are “junior colleagues” encouraged to participate in academic research with faculty from the very beginning. The low PhD student/faculty ratio coupled with the marketing faculty’s “open door” policy promotes frequent and meaningful interactions between faculty and students about research, careers and teaching. Students also serve as colleagues and mentors to each other and often develop papers together.

Research Environment Faculty and students attend weekly scholarly presentations from invited faculty from around the world. In addition internal brown bag seminars and reading groups allow students and faculty to exchange ideas and receive feedback on research topics.

Student Background Our students come from all of over the world. They have strong academic backgrounds and bring with them a variety of experiences prior to joining the program.

Awards Marketing Ph.D. students have contributed to the field by publishing in leading journals and winning numerous prestigious research awards, including the SCP Sheth Award and the William O’Dell Award for long term contributions to marketing for articles published in the Journal of Marketing Research. Students have been recipients of INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Competition Award, finalists for the John D. Little Award for best paper in Marketing Science, and early career achievement award in marketing. Student research proposals have been funded by the Marketing Science Institute (MSI) and the Institute for The Study of Business Markets (ISBM).

PHD STUDENTS

Stephan (steve) carney.

• PhD Student in Marketing

Maansi Dalmia

Aparna jayaram, soohyun kim.

Our PhD graduates contribute to marketing research and practice throughout the world. We have a long history of mentoring PhD students who are on the faculty of top universities around the world.

Recent Placements (2023-2019)

Elisa Solinas (2023) Assistant Professor, IE, Spain

Wensi Zhang (2023) Assistant Professor, University of Texas at Dallas, USA

Gizem Ceylan (2022) Postdoctoral Researcher, Yale University

Ilya Lukibanov (2022) Data Scientist, AXS, USA

Sajeev Nair (2022) Assistant Professor, University of Kansas, USA

Isamar Troncoso (2022) Assistant Professor, Harvard Business School, USA

Chaumanix Dutton (2021) Assistant Professor, Arizona State University, USA

Jihoon Hong (2021) Assistant Professor, Arizona State University, USA

Mengxia Zhang (2021) Assistant Professor, Ivey Business School, Western University, Canada

Jennifer D'Angelo (2020) Assistant Professor, TCU, USA

Amy Pei (2020) Assistant Professor, Northeastern University, USA

Yao Yao (2019) Assistant Professor, San Diego State University, USA

APPLYING TO THE PhD PROGRAM

Dates + deadlines.

December 15, 2023: Application Deadline - Accounting, Data Sciences & Operations, and Management & Organization* 

January 15, 2024: Application Deadline - Finance & Business Economics and Marketing 

The link to the PhD Program application is available on the Admissions page and the next opportunity to apply is for Fall 2024 admission. Late applications may or may not be considered at the discretion of the admissions committee. 

Admissions decisions are made from mid-February to mid-April. You will be notified by email when a decision has been made.

ADMISSIONS CONTACT

Ph.D. Program USC Marshall School of Business 3670 Trousdale Parkway, BRI 306 Los Angeles, California 90089-0809 EMAIL

• INFO SESSIONS

Stay Informed + Stay Connected

Curriculum and Structure – PhD In Marketing

• Find and Compare Programs
• PhD in Marketing

Curriculum Overview

Being a student in the Marketing PhD program means a commitment to full-time and in-residence study.

Explore the Curriculum

Doctoral studies in marketing are designed as a five-year program. Depending on whether students seek to undertake work in the more quantitative areas of the field (marketing research methods and modeling) or behavioral areas (consumer decision making), they will complete one of two rigorous core-course sequences: one focusing on economics and the other on psychology. In addition to completing the core courses, students will undertake advanced coursework in their chosen area of study. Upon completion of coursework, students continue with a thorough one-on-one training with one or more faculty mentors in their area.

Start Your Miami Journey

PhD in Marketing

Our Marketing PhD program is designed to prepare students for a career in academia. It has a 100% placement rate, and most graduates accept initial positions as tenure-track marketing faculty members at research universities. Students typically complete the program in five years.

Why Mizzou?

World-class faculty.

Students in our program learn from, and work with, some of the top scholars in the field of marketing. Our faculty’s research has been published in leading marketing journals including Journal of Marketing , Journal of Marketing Research , Marketing Science  and Journal of Consumer Research . Indeed, the University of Missouri is one of the top 20 universities in research productivity at the Journal of Marketing . Students also benefit from the experience our faculty has in serving as co-editors, area editors and reviewers in leading marketing journals.

Our faculty is also passionate about leveraging their research expertise to train PhD students. With our low student-to-faculty ratio, you’ll have an opportunity to work with faculty on research projects and learn about theories and state-of-the-art methods that are required for publishing in leading marketing journals. You’ll also connect with a network of marketing scholars outside Mizzou. For example, in 2018, we launched the Marketing Strategy Consortium to connect PhD students and early-stage faculty with mentors from several leading universities.

Strong alumni network

Students in our program also learn from, and work with, current and past students from our program. Our program’s alumni include current and past editors, area editors, and reviewers in leading marketing journals. Several of our program’s alumni are now top scholars at institutions such as Notre Dame, Texas A&M, Virginia and Washington.

What Are We Looking For?

• Interest in solving marketing problems that are important to managers, customers, partners, investors, and other stakeholders
• Strong intellectual curiosity and aptitude
• A desire to be highly engaged with students and faculty on marketing research

Additional Information

Students are admitted to the PhD program in Marketing on a full-time, residential basis only. Students typically work 20 hours per week as a research assistant or teaching assistant during the academic year. They receive a financial package that includes a stipend, full tuition waiver, health insurance subsidy, and professional development funds. The stipend is no less than $35,000 annually, conditional on funds availability and satisfactory student progress as determined by the department.

The PhD 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.

Applications received by December 15 will receive maximum consideration. We will continue to accept applications until February 1.

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. 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. 
• 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.

Applications must be received by February 1 for full consideration for admission in the fall semester. Earlier applications are encouraged. Admission to the PhD program in marketing is highly selective. Applicants should demonstrate a strong record of academic accomplishment, intellectual curiosity, enthusiasm for discovery, and a general understanding of the demands of a doctoral program. Prior academic coursework, research experience, and employment activities in marketing are encouraged but not required.

LANGUAGE PROFICIENCY REQUIREMENTS

TEACHING ASSISTANTS: ORAL-ENGLISH PROFICIENCY REQUIREMENTS

All PhD students are evaluated annually to assess their progress in the program. The evaluations for first- and second-year students are conducted by the PhD program coordinator. The evaluations for dissertation-stage students are conducted by their dissertation committee chairs.

During the academic year, students are assigned to work as research assistants for faculty members in the department. These assignments allow students to develop proficiency in research methods and often lead to coauthored projects with faculty. 

Another important objective of the PhD program is to provide candidates with the opportunity to develop classroom instructional skills. To achieve this objective, doctoral students are assigned to teach undergraduate courses. These assignments require candidates to plan, conduct, and administer one course section per semester. During their time in the PhD program, students typically have the opportunity to teach multiple times. In preparation for the teaching experience, doctoral students are encouraged to attend various teaching-related events sponsored by the Department of Marketing, the Trulaske College of Business, and the University of Missouri.

Marketing Research at Mizzou

Get to know us.

Meet our Faculty

Meet our PhD Students

Research Directory

Explore our faculty publications and learn more about the research they conduct. 

Research in the News

Safety on the line: Does lobbying affect product recalls?

College honors excellence at annual Celebration of Success

Successful professionals share their experiences during the inaugural 2023 Trulaske Doctoral Alumni Research Colloquium

Sample plan of study.

The Department of Marketing currently offers or arranges seminars for doctoral students in the areas of Marketing Strategy, Consumer Behavior, Research Methods, Academic Writing, and other topics. Most seminars are offered every other year, but incoming students each fall take the Introduction to Research Methods seminar. Students take courses for research methods and support areas in other departments on campus. 

YEAR 1: FALL SEMESTER

• MRKTNG 9010
• MRKTNG Seminar
• Research Methods #1
• Support Area #1
• MRKTNG 9101

Year 1: Spring Semester

• Research Methods #2
• Research Methods #3

In the summer following the first year of study, students take an Academic Writing Seminar and complete the Qualifying Exam project.

Year 2: Fall Semester

• Support Area #2
• Research Methods #4
• Support Area #3 or Research Methods #5

Year 2: Spring Semester

• Research Methods #6
• Support Area #4

In the summer following the second year of study, students begin the Comprehensive Exam project, which concludes in the subsequent fall semester.

During the third and fourth years of study, student enroll in MRKTNG 9090: Research in Marketing. 

Students without an MBA are required to take additional foundation courses in the business disciplines.

Marketing PhD Coordinator

Niket Jindal

Contact Dr. Jindal

By the Numbers

Over the past five years, total enrollment in the PhD program in marketing has ranged from 8 to 11 students.  We graduate 1-2 students per year on average, and our placement rate is 100%.

Most graduates accept initial positions as tenure-track faculty members at research universities. Others pursue opportunities with regulatory and policy-making institutions or financial services firms. A representative sample of our student placements follows below.

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Break out your black and gold and learn what it feels like to be a Tiger. Apply now, or join us in Columbia for a tour to see what Mizzou life is all about.

MU is an equal opportunity/access/affirmative action/pro-disabled and veteran employer and does not discriminate on the basis of sex in our education programs or activities, pursuant to Title IX and 34 CFR Part 106. For more information, visit MU’s Nondiscrimination Policy or the Office of Institutional Equity .

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Best Doctorates in Network Engineering: Top PhD Programs, Career Paths, and Salaries

Technology has advanced significantly and become a huge part of our lives in recent years. The demand for workers with information technology (IT) skills continues to increase daily. Getting one of the best PhDs in Network Engineering is an excellent way to become an expert in this growing field.

A network engineering PhD will put you at the top of the industry and open the door to higher salaries and career options. This article will give you information on how to get a PhD in Network Engineering and which PhD programs are the best for your educational path. You will also learn other important details like the highest-paying network engineering jobs and their salaries.

Find your bootcamp match

What is a phd in network engineering.

A PhD in Network Engineering is a postgraduate academic research degree earned after completing original research in a chosen specification. It is the highest academic achievement that prospective students can get, and it typically takes four to six years to complete, depending on different factors. This degree can set you up for a myriad of opportunities in the industry.

How to Get Into a Network Engineering PhD Program: Admission Requirements

The admission requirements to get into a network engineering PhD program are an online application, a bachelor’s or master’s degree , a GPA of 3.0 on a 4.0 scale, GRE scores, three letters of recommendation, official or unofficial transcripts, statement of purpose, and a current resume/CV. These admission requirements are the standard for most programs.

Some programs may request only a select few of these admission requirements, while others may request all and even more. Some degrees require students to have a master’s degree before the PhD program, while others accept a bachelor’s degree in any relevant field of study.

PhD in Network Engineering Admission Requirements

• Graduate application
• Application fee
• Bachelor’s degree or master’s degree in relevant field
• Official transcripts
• Statement of purpose/personal essay/letter of intent
• Three letters of recommendation
• Current resume/CV

Network Engineering PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Network Engineering?

It is not very hard to get into a PhD program in network engineering, especially if you have a degree in a relevant technology field. Students with a Bachelor’s Degree in Network Engineering or a Master’s Degree in Computer Science, Computer Engineering, or IT and good academic standing are more likely to get into a program. Some schools will also consider those with a degree in other fields.

How to Get Into the Best Universities

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Best PhDs in Network Engineering: In Brief

Best universities for network engineering phds: where to get a phd in network engineering.

The best universities for network engineering PhDs are Arizona State University, Carnegie Mellon University, DePaul University, Drexel University, Oregon State University, Syracuse University, University of California, Berkeley, University of Michigan-Dearborn, University of Minnesota, and the University of Texas, San Antonio.

If you’re wondering where to get a PhD in Network Engineering, these schools offer high-quality academic, research, and teaching experience. They offer broad and in-depth curricula and have experienced faculty to instill adequate knowledge and skills in students. Below is more information on each school and program.

Arizona State University is a public research university founded in 1885. It is one of the largest universities in the US by enrollment, with a total of 135,729 students. It offers over 400 undergraduate degrees and over 450 graduate degrees online and in person. The school is ranked sixth in the US for research expenditures among universities without a medical school.

PhD in Computer Engineering (Computer Systems)

This program is designed for students who are skilled in math and physical science. It will give them an in-depth knowledge of engineering principles and prepare them for a career in research, academia, or entrepreneurial innovation. Its core courses cover algorithms and random signal theory.

PhD in Computer Engineering (Computer Systems) Overview

• Program Length: N/A
• Acceptance Rate: N/A
• Tuition and Fees: $1,100/credit hour (in state), $1,603/credit (out of state)
• PhD Funding Opportunities: Federal work study, grants, hourly employment, scholarships, and loans

PhD in Computer Engineering (Computer Systems) Admission Requirements

• Admission application
• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related fields
• Personal statement
• 3.0 GPA 

Carnegie Mellon University is a private research institution established in 1900. It has campuses across the globe and offers various degrees through seven schools and colleges, including interdisciplinary programs from undergraduate to graduate level. The school offers many resources to help make students' college experience easier and prepare them for their careers.

PhD in Electrical and Computer Engineering

This program is offered in Pittsburgh, Portugal, Thailand, and Washington, DC. It is a research-intensive program that covers the fundamental principles of electrical and computer engineering. Students can join the program directly with a bachelor's or master's degree. The program covers algorithms, artificial intelligence, software systems, and computer networking.  

PhD in Electrical and Computer Engineering Overview

• Program Length: 6 years or 17 semesters
• Tuition and Fees: $644/unit
• PhD Funding Opportunities: Research assistantships, fellowships, hourly employment, or stipend

PhD in Electrical and Computer Engineering Admission Requirements

• Online admission application
• Statement of purpose
• Three recommendation letters
• Transcripts

DePaul University is a private Catholic institution founded in 1898 by the Vincentians. It is the largest Catholic university in the country, with over 21,670 students. It offers over 130 undergraduate programs and over 175 graduate programs through 10 colleges and schools. The academic year at DePaul is in four quarters, one for each season.  

PhD in Computer and Information Sciences

This program is a research-intensive computer science program. It is offered in two tracks, computing and information systems. The computing track is best for those who want to pursue a career in network engineering.

The computing track covers programming languages, software engineering, artificial intelligence, networking, data analysis, and systems. The information systems track covers ecommerce, human-computer interaction, IT project management, and IS analysis and design. 

PhD in Computer and Information Sciences Overview

• Program Length: Three to five years
• Tuition and Fees: $900/credit hour
• PhD Funding Opportunities: Assistantships, stipends, scholarships, and grants

PhD in Computer and Information Sciences Admission Requirements

• Bachelor's or Master's Degree in Computer Science or related field
• Online application 
• Official transcript
• Official GRE score report
• PhD addendum form

Drexel University is a private research university founded in 1891. It has three campuses with a total enrollment of 23,217 students, 8,850 of which are graduate and professional students. It offers over 200 degree programs through 15 schools and colleges. 

The school offers a professional employment experience for students through the Drexel co-op to give them the opportunity to test drive a career before joining the workforce. Co-op employers give 44.9 percent of co-op participants a job offer after the program.

PhD in Computer Science

This program is designed to prepare students for careers in research and education in computer science and related fields. To earn this degree, students must complete four milestones. These milestones consist of qualifying for the course, passing a candidacy exam, proposing a thesis, and defending a thesis. 

This program includes breadth and depth requirements covering courses on data structures and algorithms, artificial intelligence, machine learning, data analysis, programming languages, computer networks, and security engineering.

PhD in Computer Science Overview

• Program Length: Two years
• Tuition and Fees: $1,342/credit hour
• PhD Funding Opportunities: Scholarships, student loans, private scholarships, or a tuition discount

PhD in Computer Science Admission Requirements

• Graduate application 
• Two letters of recommendation
• Essay/statement of purpose
• Current resume
• Course prerequisites

Oregon State University is a public land-grant university established in 1868. It is one of the three land, sea, space, and sun grant universities in the US. It offers over 200 academic programs through 11 colleges on two campuses. 

It also has extension programs in 36 counties. It has a total of 34,108 students with 5,833 graduate students and a student-to-faculty ratio of 18:1. It has $383.9 million in research funding, more than any public university in Oregon.  

To earn this degree, students must complete a qualifying exam and demonstrate the ability to conduct independent research. The program requires a total of 108 credits, of which 36 are for total coursework, 36-60 credits are for thesis or project, and 0-15 are for blanket credits. 

The program offers courses on artificial intelligence, computer systems, programming languages, software engineering, and human-computer interaction. Its research areas include electronic materials and devices, energy systems, networking and computer systems, health engineering, and integrated electronics. 

• Program Length: Two to three years (full-time study)
• Tuition and Fees: $557/credit hour (in state), $1,105/credit hour (out of state)
• PhD Funding Opportunities: Outstanding Scholars Program (stipends)
• Statement of objectives
• Academic history

Syracuse University is a private research university founded by the Methodist Episcopal Church in 1870. The school offers over 200 customizable majors and more than 100 minors through 13 schools and colleges. It also offers interdisciplinary programs with hands-on research opportunities. It has around 22,000 students and over 6,000 graduate students.

PhD in Computer and Information Science and Engineering

This program is designed to make students independent professional researchers who can effectively communicate their ideas. Students can specialize in computer and information science and engineering or electrical and computer engineering. 

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The programs are designed to meet each student's individual needs. Students will work on coursework, examinations, presentations, and a dissertation throughout the program. They must complete a minimum of 48 credits of technical graduate courses.

PhD in Computer and Information Science and Engineering Overview

• Program Length: Five years (time limit)
• Acceptance Rate: 45 percent
• Tuition and Fees: $33,358/year
• PhD Funding Opportunities: Stipends and scholarships

PhD in Computer and Information Science and Engineering Admission Requirements

• Bachelor’s or Master's Degree in Computer Engineering, Computer and Information Science, or a related field
• Online application

The University of California-Berkeley is a public land-grant research university established in 1868. It is ranked as the best public university in the world and offers over 350 degree programs. This institution is renowned and respected for many reasons, including the 32 Noble prizes its alumni hold.

This program is designed to equip students with research skills and teaching experience. It offers 21 research areas for students to specialize in. These include artificial intelligence, database management systems, education, graphics, human-computer interaction, operating systems and networking, programming systems, scientific computing, security, and theory. 

Students looking to pursue a career in network engineering can focus on the operating systems and networking program. This program covers Internet architecture, security, distributed systems, operating systems, network economics, and network measurement.

• Program Length: Five to six years (with bachelor’s), three to five years (with master’s)
• Acceptance Rate: 5.1 percent
• Tuition and Fees: $10,248.75/semester (in state), $17,799.75/semester (out of state)
• PhD Funding Opportunities: Graduate research appointment, campus fellowships, and teaching assistantships
• Bachelor's or master's degree in a relevant field
• Personal history statement
• Unofficial transcripts
• GPA (3.0 minimum)

University of Michigan-Dearborn is a public institution founded in 1959. It is a regional university operating under the policies of the University of Michigan Board of Regents. It offers over 100 major programs, 70 minor programs, 60 graduate programs and certificates, and six doctoral programs. 

It has a total of 8,331 students, with 1,845 graduate and 131 doctoral students. It has a student-to-faculty ratio of 16:1 and an average class size of 25 students. US News and World Report ’s school rankings list UM-Dearborn as one of the best regional universities in the Midwest.

PhD in Computer and Information Science

This program provides students with research opportunities, engineering practice, and continuing professional education. It is designed for students with career goals in academia, research, and development. Students of this program will learn to conduct original research and develop innovative technologies in the computer and information science field. 

The program offers concentrations in data management, data science, systems and security, and software engineering. Students have to pass the required coursework, qualifying exam, advancement to candidacy, dissertation, and oral defense to earn this degree. 

PhD in Computer and Information Science Overview

• Program Length: Five years (target)
• Tuition and Fees: $655/credit hour
• PhD Funding Opportunities: Appointment as graduate student instructor or research assistant

PhD in Computer and Information Science Admission Requirements

• Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or Physical Science
• Prerequisite (12 credit hours) in calculus 
• One prerequisite course each in linear algebra, data structures, computer organization, operating systems, and calculus-based probability and statistics
• GPA of 3.2 for a bachelor's degree or 3.5 for a master's degree
• Academic statement of purpose
• Personal statement of purpose

University of Minnesota Twin Cities is a public land-grant university founded in 1851. It offers over 550 graduate and professional degrees, 150 undergraduate majors, and 1000 internships and research opportunities. 

It has over 50,000 students, 20,000 faculty and staff, 16,000 graduate and professional students, and a student-to-faculty ratio of 17 to 1. The school also offers online, on-campus, and hybrid learning formats.

This research degree is divided into coursework, research, and thesis preparation. It comprises courses designed to build students' research writing skills, including written and verbal presentations. 

Students will have to complete a preliminary oral and written examination, thesis proposal examination, final oral examination, and thesis defense during the program. The breadth coursework subjects include algorithms, architecture systems and software, operating systems, programming languages, data communications, and computer networks.

• Program Length: Five years
• Tuition and Fees: $20,328/semester (in state), $25,212/semester (out of state)
• PhD Funding Opportunities: Teaching assistantships, graduate fellowships and grants
• Four-year degree or equivalent from an accredited school in computer science or engineering
• Diversity statement 

The University of Texas at San Antonio is a public research university founded in 1969. The school offers 71 undergraduate majors and 98 graduate degree programs both on campus and online through eight colleges. It is a tier-one research school with 32 research centers and institutes. It has a total of 34,734 students, 3,867 master's students, 956 doctoral students, and a student-to-faculty ratio of 25 to 1.

This computer science program offers cutting-edge research experience and expertise to each network engineering student. The program covers core courses in programming languages, computer architecture, operating systems, and algorithms. 

Throughout the program, students will take exams for their admission to candidacy, doctoral dissertation proposal, and doctoral dissertation, followed by a final oral examination. These are steps seen in most doctoral-level degrees in network engineering. 

• Tuition and Fees: $923.76/credit hour (in state), $1,920.86/credit hour (out of state)
• PhD Funding Opportunities: Scholarships, teaching and research assistantships
• Bachelor's or Master's Degree in Computer Science or related fields
• Professional resume/CV
• Statement of research experience and interest

Can You Get a PhD in Network Engineering Online?

Yes, you can get a PhD in Network Engineering online. Various schools offer standard quality PhD programs for students who prefer distance learning to reach their professional goals. This allows them to complete the program entirely from their homes, unless they have to occasionally visit the campus grounds. Some schools with online programs are listed below.

Best Online PhD Programs in Network Engineering

How long does it take to get a phd in network engineering.

It takes three to seven years to get a PhD in Network Engineering. The specific timeframe is dependent on various factors. Students joining a network engineering program directly after an undergraduate degree will take a minimum of five years to complete the program, while those joining after a master’s degree will take a minimum of three years.

A PhD in Network Engineering program takes this long to complete because students have to get through many phases before earning their degree. They have to complete their coursework and take multiple exams to test their preparedness before starting their research. The research is what takes the longest time as it has to be original, which requires a lot of effort and time.

Is a PhD in Network Engineering Hard?

No, a PhD in Network Engineering is not very hard. The process of earning a degree can be stressful for some, but those who are passionate about research and the technology field will find it easier. It will also be easier for those with extensive prior experience in network engineering or related fields as they already have a solid foundation of skills.

What makes a PhD difficult are the multiple examinations and the dissertation. After the exam, students have to work on their research alone. They will have the guidance of their advisor or supervisor, but the personal investment that goes into it cannot be shared. It is essential to be passionate about academia, research, and teaching before getting a PhD.

How Much Does It Cost to Get a PhD in Network Engineering?

It costs an average of $19,792 a year to get a PhD in Network Engineering, according to the National Center for Education Statistics (NCES). This amount is the total of all institutions, including private and public. The amount it costs to get a PhD in a public institution is an average of $12,171, while it costs $25,929 to earn a doctoral degree in a private institution.

Private institutions are divided into for-profit and nonprofit institutions, and the cost to attend them differs. Getting a PhD in a for-profit private institution is $14,208 on average, while the average price of a nonprofit institution is $27,776. The exact amount it will cost to earn the degree differs based on school, program, learning format, and duration.

How to Pay for a PhD in Network Engineering: PhD Funding Options

The PhD funding options that students can use to pay for a PhD in Network Engineering include graduate teaching assistantships, graduate research assistantships, research fellowships, tuition waivers, scholarships, grants, work-study, and student loans.

Best Online Master’s Degrees

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What Is the Difference Between a Network Engineering Master’s Degree and PhD?

The difference between a network engineering master’s degree and a PhD is that a master’s degree signifies more specialized knowledge of the subject. A master’s degree is designed to give students more in-depth knowledge and skills in the field to prepare them for careers. In contrast, a PhD is designed to develop students’ research, academic, teaching, and writing skills.

A master’s degree can be earned immediately after a bachelor’s degree, but you will most likely need a master’s degree or equivalent to earn a PhD. A master’s degree requires a capstone project or thesis, depending on your concentration, and this program of study typically takes one to three years to complete.

A PhD requires a qualifying exam, candidacy exam, comprehensive exam, dissertation, and defense and takes three to seven years to complete. A master’s degree will include a higher concentration of coursework, while a PhD will have a higher research concentration. A PhD is the highest level of academic achievement, while a master’s degree is not.

Master’s vs PhD in Network Engineering Job Outlook

When comparing a master’s degree to a PhD in Network Engineering jobs, both job outlooks are quite similar. They all fall under two percent to 33 percent, either slower than average or faster than average. This is because most technology jobs have the same demand for network engineers regardless of their academic level.

Difference in Salary for Network Engineering Master’s vs PhD

According to PayScale, the average salary for a Master’s Degree in Network Engineering is $93,000. There is no information on the median salary for PhD in network engineering jobs, but the median salary for PhD in Computer Science jobs is $131,000 per year.

For comparison, the highest average salary for a master’s degree is $134,668 as a chief information security officer, while the highest average salary for a PhD is $226,883 as a chief information security officer.

Related Network Engineering Degrees

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Why You Should Get a PhD in Network Engineering

You should get a PhD in Network Engineering because it will set you up for many career accomplishments. You will have received the highest academic degree in the field and built a solid network of technology professionals. Doctoral-level programs provide more employment opportunities to explore, higher job positions, and increased salary.

Reasons for Getting a PhD in Network Engineering

• Personal development. A PhD will expand your knowledge and skills and improve your expertise in the field. Completing the program requires a certain level of self-discipline which will enhance your soft skills. It will provide a sense of accomplishment as you will have reached the peak of your career in your field.
• Increased networking opportunities. PhD programs will give you access to many seminars, conferences, and workshops which will help you build new connections with people from different backgrounds and fields. These will help you boost your network both within and outside your industry.
• Broader career opportunities. A PhD will open up more career opportunities for you as you will be seen as an expert in your field. You will be able to land higher-ranking jobs in various fields. You can also choose to have your own research or practice and get funding.
• Higher salary. Earning a doctoral degree means you have reached the climax of your field. This opens you to higher job positions and increased salaries because PhD holders typically make more than other degree holders.

Getting a PhD in Network Engineering: Network Engineering PhD Coursework

This section covers the courses that you will take in the process of getting a PhD in Network Engineering. These courses are part of network engineering PhD coursework, which is the first phase of the PhD program. They carry a significant amount of credit hours that you will have to get before working on your dissertation.

Depending on the school and the program, students will take different algorithm courses like approximation algorithms and data structures and algorithms. These courses will generally cover divide and conquer methods, elementary data structures, graph algorithms, and techniques for analyzing algorithms.

Programming Languages

Programming languages are taught in virtually all computer and technology programs. Students will improve their programming skills and learn the basic design and implementation concepts of programming languages. They may not be learning or working with any programming languages in particular but will learn their features and implementation.

Artificial Intelligence

Students will be introduced to artificial intelligence before progressing to advanced artificial intelligence, game AI, and robotics. They will learn basic concepts of AI, state spaces and search spaces, Lisp and functional programming, and the difference between game AI and traditional AI.

This course will introduce students to basic software engineering processes, concepts of security protocol, human-computer interface issues, access control, crypto, and distributed system security. Students will understand security from the viewpoint of companies, criminals, police, and spies.

Computer Networks

This course will break down computer networking and cover every layer, including its duties and responsibilities. Students will learn all about networking protocols and understand systems design. Some topics include physical layer and coding, data link protocol, flow control, congestion control, routing, local area networks, transport layer, cellular (LTE), and 5G networks.

Best Master’s Degrees

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How to Get a PhD in Network Engineering: Doctoral Program Requirements

This section includes all the program requirements you need before earning your degree. These doctoral program requirements are the standard of almost all schools. You will have to complete these requirements step-by-step to get a PhD in Network Engineering.

Students will have to complete coursework which includes core, breadth, depth, and elective courses. The supervisor or advisor will help them select the required courses based on their concentration and degree requirements. There are also a specified number of credits that students have to complete for coursework.

This is an important exam that is important for all PhD students. They have to take this exam to ensure that they are on the right track to getting their candidacy. The exam will test the student's ability to apply the knowledge and skills they learned during the program. The results demonstrate their preparedness for candidacy and readiness to take on independent research.

This exam is required for students to start their PhD research. The purpose of the exam is to test students' preparedness for full-time research toward their doctoral degree. Taking this exam means a student has completed all required coursework and is ready to conduct their research and dissertation. The exam is usually taken in the first or second year of the program.

Like other exams, the comprehensive exam is designed to test students' preparedness for their dissertation. It tests students' academic knowledge, technical skill, and mastery of the field. The exam may be in verbal, oral, written, or verbal/oral format depending on the school. Passing this exam is necessary before proceeding with a dissertation.

A thesis or dissertation is the summary of a student’s research. It is a lengthy document that includes original research on a topic. As a doctoral student, you get to choose what you research and write about, and your dissertation is the product of this project.

The dissertation defense is the last stage of the PhD program. It is an oral examination where students have to present and discuss their dissertation. It is typically headed by a committee that students present to. In some cases, there will be a question and answer section where students will have to answer questions posed by the committee about their study.

Potential Careers With a Network Engineering Degree

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PhD in Network Engineering Salary and Job Outlook

The salary range for a PhD in Network Engineering is between $102,600 and $131,490, and the job outlook is between five percent and 33 percent. The initial amount will vary based on industry, company, job role, and skills. For example, a senior network engineer may make more than a cloud engineer because of the specific company they work for.

What Can You Do With a PhD in Network Engineering?

With a PhD in Network Engineering, you can work as a network architect, network engineer, research scientist, computer scientist, systems analyst, network analyst, or network administrator . You can work in various industries in the technical field, including network administration, research, health, finance, technology, education, and government.

Best Jobs with a PhD in Network Engineering

• Network architect
• Computer scientist
• Network security manager
• Network administrator
• Database administrator

What Is the Average Salary for a PhD in Network Engineering?

The average salary for a PhD in Network Engineering is $131,000 , according to PayScale. This amount may differ based on different factors like the industry, company, job role, skills, and professional experience. For instance, chief information security officers earn an average of $226,883 while senior business analysts earn an average of $102,400.

Highest-Paying Network Engineering Jobs for PhD Grads

Best network engineering jobs with a doctorate.

This section includes some of the best network engineering jobs with a doctorate requirement. They are also some of the highest-paying jobs for network engineers in the industry. You will find details like the job roles, average salaries, job outlook, and highest-paying states for each job. This information can guide you in choosing an area of specialization.

A computer scientist is a professional who conducts research to design, develop, and implement software and hardware systems to advance technology. They use their IT knowledge and skills to create applications that improve user interaction and make using tech easier.

• Salary with a Network Engineering PhD: $131,490
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: Oregon, Arizona, Texas, Massachusetts, Washington

Computer hardware engineers are professionals who design and supervise the installation and maintenance of computer systems. They conduct research to find new ways to advance computer technology and influence how it's used.

• Salary with a Network Engineering PhD: $128,170
• Job Outlook: 2% job growth from 2020 to 2030
• Number of Jobs: 66,200
• Highest-Paying States: California, Washington, Virginia, Oregon, Nevada

Computer network architects design, build, and maintain data communication networks like local area networks (LAN), wide area networks (WAN), and Intranets. They are employed by telecommunications companies, finance companies, insurance companies, and education systems.

• Salary with a Network Engineering PhD: $120,520
• Job Outlook: 5% job growth from 2020 to 2030
• Number of Jobs: 165,200
• Highest-Paying States: New Jersey, Rhode Island, Delaware, Virginia, Maryland

Computer network engineers are responsible for designing, planning, and implementing client-specific cloud solutions. They manage how information is shared within an organization. They work at IT firms, consulting technology firms, and telecommunications firms.

• Salary with a Network Engineering PhD: $106,100

Information security analysts work to design, develop, install, and maintain IT security systems to protect the computer systems in organizations. They ensure that the computer systems are protected against external attacks and breaches by continuously enhancing systems’ effectiveness.

• Salary with a Network Engineering PhD: $102,600
• Job Outlook: 33% job growth from 2020 to 2030
• Number of Jobs: 141,200
• Highest-Paying States: California, New York, Maryland, Iowa, District of Columbia

Is a PhD in Network Engineering Worth It?

Yes, a PhD in Network Engineering is worth it. This degree will help expand your knowledge and skills and enhance your potential in the industry. It will help you build a strong professional network, widen your career opportunities, and increase your salary range. A PhD is especially important for those interested in academics, research, and teaching.

Demand for technical expertise is increasing in all sectors, and with the expertise you will get from a PhD, you stand a higher chance of meeting that demand. You will get the opportunity to explore various fields or even start your own private practice with funding. Recently, students have been able to get a PhD directly after a bachelor’s degree, which makes the process even easier.

Additional Reading About Network Engineering

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PhD in Network Engineering FAQ

Yes, there is a PhD in Networking. You can get a PhD in Network Engineering, Computer Science, Computer Engineering, or Information Systems. The program will take a minimum of three years to complete based on different factors like your learning format, the specific program, the school, and your dedication to the program.

The best degree for network engineers is a Bachelor’s or Master’s Degree in Network Engineering , Computer Science, Computer Engineering, or Information Systems. These degrees will equip you with the relevant knowledge and skills to become a professional network engineer.

The qualifications for a network engineer are an Associate , Bachelor’s, or Master’s Degree in Computer Science or Computer Engineering. Network engineers also need technical skills like programming languages, hardware and infrastructure, analytics and troubleshooting, DNS, and IoT. Soft skills like critical thinking and problem-solving are also essential.

Yes, network engineering is a good career. It has a good job outlook which means that professionals are in high demand and earn relatively high salaries, making it a promising career to pursue. An in-depth understanding of network engineering topics can lead to career stability.

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