• PhD in Business Analytics & Operations

    A program grounded in research methods and strategies, with a mentorship model, that gives students an esteemed personal foundation.

  • Overview


    At Katz, we prepare our students to become productive and discerning research-oriented faculty members. See our sample schedule below.

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    Year 1

    Fall Term

    An exploration of critical thinking.

    • BQOM 3016 Current Topics in Operations

      BQOM 3016 Current Topics in Operations

      Course Description

      This course is intended to acquaint doctoral students with some of the most important current foci by reading papers and listening to outside speakers. Students will be expected to write reviewer-like reports, to develop their own research proposals, and to defend their proposals in a group setting.

    • IE 2081 Nonlinear Optimization

      IE 2081 Nonlinear Optimization

      Course Description

      Necessary and sufficient conditions for an optimal solution to the non-linear programming problem; convex sets and functions; numerical solution of non-linear equations; search methods; unconstrained optimization including gradient, metric and penalty methods; algorithms for constrained optimization; quadratic and geometric programming

    • IE 2100 Supply Chain Analysis

      IE 2100 Supply Chain Analysis

      Course Description

      An overview of supply chain management with an emphasis on operations and strong quantitative orientation.  Supply chain strategies; sourcing decisions; demand forecasting; aggregate planning; managing supply and demand; production and inventory control systems including MRP and JIT; dealing with uncertainty; distribution networks; coordination and integration.

    • INFSCI 2725 Data Analytics

      INFSCI 2725 Data Analytics

      Course Description

      Introduction to fundamental technologies underlying distributed storage and efficient analysis of very large amounts of data.  An overview of approaches to extracting information and knowledge from data, verification, testing, and presentation of results.


    Spring & Summer

    A thorough examination of research methods.

    • BFAE 3001 Microeconomics

      BFAE 3001 Microeconomics

      Course Description

      This is a Ph.D. level course in microeconomics with special emphasis on business applications.  We will use decision and game theoretic models to analyze the decision making process of business firms.

    • BUSADM 3003 Multivariate Statistical Analysis

      BUSADM 3003 Multivariate Statistical Analysis

      Course Description

      This course will introduce the student to several of the best known multivariate methods to make them familiar with the terminology and mathematical language of multivariate methods, and provide them with practical experience using multivariate techniques.  Some of the methods covered will be comparisons of multivariate means, multivariate regression models, principal component analysis, factor analysis, canonical correlation, discriminant analysis, and clustering and distance methods. This course requires basic knowledge of matrix algebra, probability theory and mathematical statistics.

    • IE 2007 Statistics and Data Analysis

      IE 2007 Statistics and Data Analysis

      Course Description

      Analysis of variance, experiments with one factor, experiments with two or more factors, regression analysis, multiple linear regression, response surface methods, analysis of categorical data, nonparametric statistics. 

    • BMKT 3099 Readings in Business Analytics and Operations

      BMKT 3099 Readings in Business Analytics and Operations

      Course Description

      Independent work with faculty research advisor or other Katz Faculty in discipline.

    • INFSCI 2500 Data Structures

      INFSCI 2500 Data Structures

      Course Description

      Theory and application of data structures. Data and file structures and their appropriateness to various applications

    • Advanced Decision Technologies

      | BQOM 2512 |

      1.5 CREDITS

      Advanced Decision Technologies

      Course Description

      While contemporary decision technologies are increasingly important in today's competitive environment for dealing with complex problems, they can also yield wrong or misleading solutions.  The course will consider current applications of these technologies in these areas and students will analyze a variety of cases in these areas using commercial software packages.  Emphasis in the course will be given to the potential and limitations in using decision technologies and to alternative approaches to dealing with complex problems

      BQOM 2512


    Year 2

    Fall Term

    A continued study in critical thinking and research methods.

    • BQOM 3020 Simulation

      BQOM 3020 Simulation

      Course Description

      The purpose of this course is to give an up-to-date treatment of the important aspects of simulation methodology.  The topics covered include:  modeling and generating stochastic inputs, output data analysis, variance reduction techniques, experimental design and model validation.

    • PSYED 3417 Structural Equation Modeling

      PSYED 3417 Structural Equation Modeling

      Course Description

      This course will introduce structural equation modeling (SEM).  Some fundamental materials necessary for SEM will be reviewed; i.e. Matrix algebra, covariance algebra, multiple regression; and factor analysis.  SEM is a family of techniques.  Some of the different SEM techniques that will be discussed include path analysis, confirmatory factor analysis, general SEM, and mediation/moderation models.  Advance SEM techniques will also be discussed, e.g. Mean and covariance SEM, latent growth curve models, multi-sample/multi-group SEM, dealing with missing and non-normal data, and mixture modeling.

    • STAT 2321 Applied Advanced Time Series

      STAT 2321 Applied Advanced Time Series

      Course Description

      This course is an attempt to provide a uniform coverage of both time domain and frequency domain time series methods which can be easily understood by students with varied backgrounds


    Spring Term

    A further dive into major concentrations, critical thinking, and research methods.

    • IE 3094 Markov Decision Processes

      IE 3094 Markov Decision Processes

      Course Description

      Introduces the fundamentals of discrete sequential models when outcomes are uncertain.  Covers formulation and analysis of stochastic dynamic programs under several objective criteria; developing and enhancing solution algorithms; applications in the areas of inventory control, vehicle routing, and resource allocation; development of approximate solution techniques.

    • PSYED 3408 Hierarchical Linear Modeling

      PSYED 3408 Hierarchical Linear Modeling

      Course Description

      This course is on hierarchical models for continuous and discrete outcomes.  Hierarchical models are used when the units of observation are grouped within clusters. Observations in a cluster typically are not mutually independent for given covariate values as required by conventional linear and logistic regression models. Longitudinal or repeated measures data can also be thought of as clustered data with measurement occasions clustered within subjects. The focus of the course is on hierarchical linear models and their assumptions, as well as practical aspects of developing models to address research questions and interpreting the findings.

    • BQOM 3099 Readings in Business Analytics and Operations

      BQOM 3099 Readings in Business Analytics and Operations

      Course Description

      Independent work with faculty research advisor or other Katz Faculty in discipline.

    • IE 2108 Health Systems Engineering

      IE 2108 Health Systems Engineering

      Course Description

      This course uses the systems approach to lead students to understand the forces the drive the healthcare industry in the continuum of care.  Typical care delivery models are analyzed. Students learn relevant healthcare terminology, industry values, regulatory requirements and the tools created by advocacy organizations (e.g. HIPAA, ARRA, Joint Commission, ONCHIT, CCHIT, NQF).  They use this knowledge and understanding to apply systems engineering models that foster integration of silo operations to improve quality, effectiveness and efficiency.  In addition, they learn to develop models for improving the effectiveness of decision support systems with focus on productivity and quality reporting systems.


    Summer Term

    A comprehensive independent study.


    Year 3

    Fall, Spring, & Summer

    Fully concentrated work on dissertation and service as teaching assistant.


    Years 4 & 5

    All Terms

    Teach and enter the job market to defend your dissertation.


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    Our mission is to produce internationally renowned experts in the business disciplines and place our graduates at leading research universities worldwide.

    See Students 

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    By reading highlights of their research you will see why Katz faculty is internationally recognized as experts in their fields and have published in prestigious academic journals such as Accounting Review and the Review of Financial Economics.

    See Research 

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    We are here to offer you support through the admissions process. Below, find all of the information, requirements, and key dates you’ll need to submit your application.

    The Application

    Getting Started

    Required Components

    • Online Application

      Create your personal application account where you can start and save your work as needed. You will also submit the following:

    • Application Fee

    • Three Recommendations

    • Unofficial Transcripts

      Official transcripts will only be needed if the doctoral committee is interested in admitting you.

    • Official GMAT or GRE and TOEFL scores

    • Official TOEFL or IELTS scores

      The school codes you must provide are DPZ-M5-90 for the GMAT and 2998-(major code) for the GRE. If the TOEFL applies to you, please provide the code 2998-02.


    Interview Process

    Evaluative Interview

    Meeting with the committee

    Interviews are conducted on campus, off campus, or via Skype if is not possible to meet in person. We regret that we cannot conduct telephone interviews.

    Applicants may be asked to participate in our evaluative interview process upon initial review by the MBA admissions committee. A requirement for all Full-Time MBA admitted applicants, evaluative interviews are conducted by a variety of Katz personnel from our local MBA Admissions office in Pittsburgh, Pennsylvania.


    Details are provided in the interview invitation.


    Additional Information

    Need To Know

    Frequently Asked Questions


    • Do any of the Katz PhD Program Areas of Study qualify as STEM Degrees?
      No, regardless of your specific area of study, our doctoral program is classified as a PhD in Business Administration and so it is not considered to be a STEM (Science, Technology, Engineering, Math) program.;
    • What are the major areas of study offered through the Katz PhD Program at the University of Pittsburgh?
      Learn more about the seven areas of study.
    • How long will it take to complete the PhD program?
      Most students complete the program in four years. It typically takes two years to complete course work and comprehensive examinations followed by dissertation research, overview, and defense.
    • How should I choose an area of study? A PhD Program?
      We recommend you do two things:

      Examine the descriptive information under "Areas of Study" and browse to see if it interests you in general.

      Browse the faculty and research pages using the small "Faculty & Research" link at the very top of this page, just to the right of the Katz logo. Examine the titles of the papers of the faculty in the areas that you think are interesting. You might even look up some of the papers on Google Scholar and see if you can retrieve them through your school library. If you do not have access to an academic library, you might be able to obtain copies of some papers directly from the faculty members themselves. Read the papers and imagine yourself being involved in similar work. A scholarly career in research is full of rewarding and engaging work, but there should be a good fit between your interests and the specialties of the faculty in the program and university you are considering.

    • What is the financial aid package offered by the Katz PhD Program?
      The Katz Doctoral Program provides a five-year financial aid package to admitted doctoral students. The stipend is currently $26,900 annually. Katz also provides full tuition remission for five years and comprehensive health insurance for their students, both domestic and international.
    • I will be taking the GMAT/TOEFL Test in January. Should I submit the application to the University of Pittsburgh PhD Program without these scores?
      Yes, please submit as much of the application as possible before the January 1 deadline. It is best to submit your application with all official documentation. However, you may indicate that the GMAT/TOEFL score will be forwarded to the University of Pittsburgh (DPZ-M5-90 for GMAT and 2998-02 for GRE and TOEFL) and indicate the date you are taking the exam. We can begin to process the application if necessary without all of the information. However, please note that no official action can be taken on an incomplete application. If you have a copy of a score that you want to submit while waiting for an official score to arrive, please feel free to do so. Again, remember that no final action can be taken on your application until official documents are received.
    • What are the GMAT, GRE, and TOEFL Institution Reporting Codes for the University of Pittsburgh PhD Program in Business?
      Our GMAT reporting code is DPZ-M5-90 and the GRE and TOEFL reporting code is 2998-02. Please be sure to use the University of Pittsburgh PhD code and not the Master's program codes you might find elsewhere.
    • I have not received all letters of recommendation back from recommenders. Should I send my application without a complete set?
      Yes, it is important to get your application into the University of Pittsburgh Doctoral Program by January 1. If you are waiting for another letter of recommendation, please submit your application with a note informing us of the approximate date we will receive it.
    • It is a financial hardship for me to pay the application fee. Can the University of Pittsburgh waive the fee?
      We know the importance of applying to a doctoral program for our applicants and wish that we could help with this burden. Unfortunately, it is a University policy that an application fee must be charged. We have made every effort to keep the fee as low as possible and will continue to be sensitive to this need in the future.
    • When will I know the result of the application process?
      We know the importance of applying to a doctoral program for our applicants and wish that we could help with this burden. Unfortunately, it is a University policy that an application fee must be charged. We have made every effort to keep the fee as low as possible and will continue to be sensitive to this need in the future.
    • When will I know the result of the application process?
      Typically, the Katz Doctoral Committee will review applications during January and make initial offers in February and March. Depending on where a student may be as a backup, it is possible for a student to hear of a positive admission decision as late as the third week of April. The Doctoral Office will attempt to telephone and email accepted applicants as soon as a decision is made.
    • Where do you place your graduates?
      The purpose of the Katz Doctoral Program is to develop professional scholars who will excel in research and teaching for placement at leading business schools. The Katz School has an outstanding placement record with graduates.
    • What are the requirements for the PhD at Katz Graduate School?

      Visit the requirements section to learn more.

    • What is the minimum GMAT/TOEFL score accepted by the University of Pittsburgh Katz PhD Program?
      The University of Pittsburgh Katz Doctoral Program does not publish a minimum score. However, it may be helpful for you to know that the average GMAT score of admitted students each year is between 720 and 730. Few admitted applicants report TOEFL scores below 100.
    • Can I ask for a waiver of the TOEFL test?
      The Test of English as a Foreign Language (TOEFL) is required if the applicant's native language is not English. Exemption for this test may be permitted when an applicant has attended a college or university in the United States for a minimum of four years as a full-time student and has earned at least a Bachelor's degree, or when an applicant has earned a Master's degree from a college or university in a country that considers its native language to be English (the USA, UK, Australia, and Canada are examples). Even if English is the medium of instruction, the school needs to be in a country with English as its native language.
    • How do I arrange to take the GMAT/GRE/TOEFL tests?
      The GMAT test is administered by the Graduate Admission Council.
      The GRE and TOEFL tests are administered by the Educational Testing Service, Princeton, New Jersey, 08541, USA. Further information may also be obtained from the nearest United States Embassy, Consulate, or Information Service.
      GMAT - See www.mba.com/the-gmat.aspx
      GRE - See www.ets.org/gre
      TOEFL - See www.ets.org/toefl
    • How do I arrange a visit to the Katz Graduate School?
      We are happy to arrange visits for prospective students to meet the Katz faculty, staff, and students. If your schedule permits arranging a visit during the fall term (October through December), please contact the Katz Doctoral Office.
    • What is the size of the Katz PhD Program?
      There are currently 47 doctoral students, from 9 different countries, across 7 different majors. This number includes students at the course work, comprehensive exam, and dissertation stages of the program.
    • What is the application deadline?
      The deadline for applying for September is January 1. However, it is advantageous to have your completed application submitted earlier to facilitate the review process.


    The deadline for applying for September is January 1. However, it is advantageous to have your completed application submitted earlier to facilitate the review process.


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