Business Administration (PhD)

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The Doctor of Philosophy (PhD) in Business Administration at a minimum consists of 63 academic hours. Each student selects a specialization area such as finance, management, marketing, or information systems. In consultation with his or her advisory committee, the student selects courses to create an individual degree program. All students are expected to complete quantitative methods and major field courses designed to provide a strong theoretical and empirical foundations of their discipline.

Students complete core course work requirements within the first two years of their training. After required coursework is completed, students take comprehensive examinations followed by the writing and defending of the dissertation. Each dissertation is expected to make a significant contribution to the field of knowledge encompassing global business administration. In consultation with his or her advisory committee, the student selects courses to create an individual degree program.

Additional Business PhD Concentrations now available for Fall 2018! - Information Systems and Finance

For detailed information about this program visit the PhD in Business Administration webpage (http://www.utrgv.edu/businessphd/index.htm).

  • Admission Requirements

    Step #1: Submit a UTRGV Graduate Application at www.utrgv.edu/gradapply. The university application fee of $85 ($100 for International Applicants) can be paid online by credit card or electronic check (in the online application). All application fees are nonrefundable.

    Step #2: Request your official transcripts to be sent electronically to gradapps@utrgv.edu or mailed to:

    The University of Texas Rio Grande Valley
    The Graduate College
    Marialice Shary Shivers Bldg. 1.158
    1201 W. University Drive
    Edinburg, TX 78539-2999

     
    *Please Note: If you are a graduate of UTPA, UTB/TSC, or UTRGV you do not need to request an official transcript to be sent to the Graduate College.
     

    The minimum admissions criteria for this program are:

    • Earned baccalaureate degree from a regionally accredited institution in the United States or a recognized international equivalent in a similar or related field.
    • Cumulative GPA of at least 3.0.
    • Official transcripts from each institution attended (must be submitted directly to UTRGV).
    • GMAT or GRE General Test with scores submitted by February 1st for admission the following Fall semester. GMAT and GRE test scores are valid for 5 years.
    • Submission of 3 letters of recommendation from academic sources.
    • Submission  of  a  personal statement describing  goals,  experiences, scholarly  accomplishments, reasons  for  obtaining  the  degree, and possible research questions or topics of interest.
    • Submission of resume or curriculum vitae.

    Additional requirements for domestic applicants who attended foreign universities:

    • TOEFL or IELTS Language Proficiency Test with minimum scores: 550 on paper-based, 213 on computer based, or 79 on Internet-based for the TOEFL; 6.5 for the IELTS. TOEFL and IELTS scores are valid for 2 years. For additional information, visit the Additional Documents for Domestic Applicants who Attend Foreign Universities section of our website.
    • Certified English translation of educational records.

    Additional requirements for international applicants:

    • TOEFL or IELTS Language Proficiency Test with minimum scores: 550 on paper-based, 213 on computer based, or 79 on Internet-based for the TOEFL; 6.5 for the IELTS. For additional information, visit the English Proficiency Exam section of our website.
    • Certified English translation of educational records.
    • Financial Documentation showing sufficient funds to cover all expenses (living and academic) for the first year of study. For additional information, visit the Financial Documentation section of our website.
    • Immigration documents, including a current copy of your valid passport. For additional information, visit the Immigration Documents section of our website.

    UPDATE ON INTERNATIONAL ADMISSIONS FROM U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT:

    • SEVP regulations prohibit the issuance of a Form I-20 based on conditional admission, effective July 13, 2016. University officials can only issue a Form I-20 when students have met all standards for admission for the program of study listed on the Form I-20. These standards for admission include any English proficiency requirements.


    Important Information

    In signing your admission application to the Graduate College, please ensure that all information is complete and correct and understand that the submission of false information is grounds for denial of your application, withdrawal of any offer of acceptance, cancellation of enrollment, dismissal from the doctoral program or appropriate disciplinary action.

    Your personal statement must describe your objectives in pursuing a doctoral degree in business administration and this letter is one of the documents that must be in your file before any admission evaluation is made.

    The personal statement also discuss any previous doctoral program you have been enrolled in and reasons for leaving the program, if applicable.

    Applications  for  the  doctoral  program  will  not  be  evaluated  until  all application documents are submitted to the doctoral program at the College of Business at UT Rio Grande Valley and payment of the processing fee has been made.

  • Program Contact

    Program Coordinator: Dr. Sharon Schembri

    Phone: (956) 929-9283

    E-Mail: sharon.schembri@utrgv.edu

  • Deadlines

    Fall Spring Summer I Summer II
    Application Deadline: Feb 1 N/A N/A N/A
  • Course Requirements

    Information Systems Concentration:
     
    Required Courses 21
    BADM 9313: Teaching Preparedness and Professional Development 3
    INFS 8308: Theories in Cognitive and Behavioral Information Systems Research 3
    INFS 8318: Theories in Managerial and Organizational Information Systems Research 3
    INFS 8328: Economics of Information Systems 3
    INFS 8338: Design Science Information Systems Research 3
    INFS 8348: Data Mining and Business Analytics 3
    INFS 8358: Digital Society 3
     
    Research Method Courses 15
    INFS 8322: Scholarship Seminar 3
    INFS 8330: Information Systems Research Methods 3
    INFS 8388: Social Media Analytics 3
    QUMT 8310: Applied Multivariate Data Analysis I 3
    QUMT 8311: Applied Multivariate Data Analysis II 3
     
    Electives 12
    INFS 8368: Selected Topics in Information Systems* 3
    INFS 8378: Independent Study 3
    QUMT 8315: Advanced Quantitative Analysis 3
    Graduate course(s) as approved by academic advisor
     
    Capstone Requirement
    Dissertation 15
    BADM 9690: Dissertation Residency (taken twice) 12
    BADM 9391: Dissertation Extension 3
     
    * Can be taken 3 times for credit with varying topics.
     
    Total graduate hours for degree: 63
     
    Finance Concentration:
     
    Required Courses 21
    BADM 9313: Teaching Preparedness and Professional Development 3
    FINA 8350: Math for Finance 3
    FINA 8360: Theory of Finance 3
    FINA 8365: Theory of Investments 3
    FINA 8370: International Finance Management 3
    FINA 8375: Corporate Finance 3
    FINA 8380: Financial Markets and Institutions 3
     
    Research Method Courses 15
    ECON 8370: Econometrics I 3
    ECON 8375: Econometrics II 3
    FINA 8322: Scholarship Seminar 3
    QUMT 8310: Applied Multivariate Data Analysis I 3
    QUMT 8311: Applied Multivariate Data Analysis II 3
     
    Electives 12
    The following are suggested electives:
    ECON 8351: Seminar in Economic Topics*
    ECON 8360: Macroeconomic Theory
    ECON 8365: International Trade
    FINA 8341: Seminar in Finance Topics*
    Graduate course(s) as approved by academic advisor
     
    Capstone Requirement
    Dissertation 15
    BADM 9690: Dissertation Residency (taken twice) 12
    BADM 9391: Dissertation Extension 3
     
    *Can be repeated for credit with varying topics
     
    Total graduate hours for degree: 63
     
    Management Concentration:
    Required Courses 21
    BADM 9313: Teaching Preparedness and Professional Development 3
    MGMT 8333: Seminar in Organization Theory 3
    MGMT 8334: Seminar in Operations Management 3
    MGMT 8335: Seminar in Strategic Management 3
    MGMT 8336: Seminar in Entrepreneurship 3
    MGMT 8337: Seminar in Organizational Behavior 3
    MGMT 8338: Seminar in International Management 3
     
    Research Method Courses 15
    MGMT 8331 or MARK 8309: Research Methods I 3
    MGMT 8332: Research Methods II 3
    MGMT 8322: Scholarship Seminar 3
    QUMT 8310: Applied Multivariate Data Analysis I 3
    QUMT 8311: Applied Multivariate Data Analysis II 3
     
    Electives 12
    MGMT 8339: Special Topics in Management*
    Graduate course(s) as approved by academic advisor
     
    Capstone Requirement
    Dissertation 15
    BADM 9690: Dissertation Residency (taken twice) 12
    BADM 9391: Dissertation Extension 3
    * Not a required elective, but can be repeated as topic changes to fulfill 12 hours of elective.
     
    Total graduate hours for degree: 63
    Marketing Concentration:
    Required Courses 21
    BADM 9313: Teaching Preparedness and Professional Development 3
    MARK 8310: Marketing Strategy 3
    MARK 8311: Consumer Behavior 3
    MARK 8312: Marketing Theory 3
    MARK 8314: Markets and Globalization 3
    MARK 8315: Services Marketing 3
    MARK 8320: Philosophy of Science 3
     
    Research Method Courses 15
    MARK 8309 or MGMT 8331: Research Methods I 3
    MARK 8313: Qualitative Research Methods 3
    MARK 8322: Scholarship Seminar 3
    QUMT 8310: Applied Multivariate Data Analysis I 3
    QUMT 8311: Applied Multivariate Data Analysis II 3
     
    Electives 12
    The following are suggested electives:
    MARK 8371: Seminar in Marketing Topics *
    MARK 8372: Marketing Seminar *
    Graduate course(s) as approved by academic advisor
     
    Capstone Requirement
    Dissertation 15
    BADM 9690: Dissertation Residency (taken twice) 12
    BADM 9391: Dissertation Extension 3
    *Can be repeated for credit with varying topics
     
    Total graduate hours for degree: 63
     
    Foundation Coursework
     
    All students entering the Ph.D. Program are required to have a business administration foundation. The foundation may be achieved by holding an MBA degree, an MS in a business field or a selection of coursework designed to provide the foundation. During the first year of the doctoral program or subject to the advice of the student's program advisor for other time limits, a student must complete the following background coursework (and associated prerequisites):
     
    ACCT 6320       Accounting and  Financial Analysis
    ECON 6350      Managerial Economics
    FINA 6340         Advanced Corporate Finance
    INFS 6330         Information Systems for Managers
    MARK 6310        Marketing Strategy
    MGMT 6330      Organizational Behavior
    QUMT 6310        Business Research
     
    Students entering the Information Systems concentration that may be deficient in their IT background, may be required to take one or more of the following foundation courses:
     
    INFS 3310       Introduction to Business Programming
    INFS 3335      Database Management
    INFS 3336       Systems Analysis
    INFS 3338       Computer Networks and the Internet
     

    Course Descriptions:

    BADM 9313: Teaching Preparedness and Professional Development              [3‐0]

    This course exposes students to the various challenges associated with teaching face to face and online courses especially as a first time instructor. Contents covered in this course include syllabus design, development of teaching philosophy, classroom management and preparation of a teaching portfolio.

    BADM 9391: Dissertation Extension                [3‐0]

    Students register for this course in each long semester and during the summer following completion of BADM 9690 until the dissertation is defended. May be repeated.

    BADM 9690: Dissertation Residency               [6‐0]

    Students register for this course following completion of all other doctoral course requirements and successfully completing the comprehensive examinations. This course must be registered for a minimum of two consecutive long semesters of six hours each. If the dissertation is not completed following the 12‐ hour requirement, the student must register in three hours of BADM 9391 each semester in continuous enrollment, including one summer session, until successful defense of the dissertation. May be repeated.

    ECON 8351: Seminar in Economic Topics                [3‐0]

    Selected topics in economics as they relate to current issues. Various contemporary subjects will be developed by the instructor of this course. Course may be repeated for credit with different topics.

    ECON 8360: Macroeconomic Theory               [3‐0]

    This course will review theories of productivity, output and employment, as well as consumption saving and investment decisions. An introduction to long‐run economic growth, an extension of savings and investment to the open economy and the functioning of the money market will be provided next. Business cycles and the IS‐LM/AD‐AS models as general frameworks will be discussed, along with exchange rates and macroeconomic policies in the open economy. Monetary policy and the operating procedures of the Federal Reserve System will pave the way for the literature on rules versus discretion. Recent representative articles from professional journals will complement the basic material.

    ECON 8365: International Trade               [3‐0]

    This course covers theories on international trade including: comparative advantage, resource allocation, income distribution and foreign trade.

    ECON 8370: Econometrics I               [3‐0]

    This course covers cross‐sectional data analysis.

    Prerequisite: QUMT 8311.

    ECON 8375: Econometrics II               [3‐0]

    This course covers time‐series data analysis.

    Prerequisite: QUMT 8311.

    FINA 8322: Scholarship Seminar               [3‐0]

    Doctoral students will have a one to one contact with a faculty member. The purpose of this seminar is to build up the student’s paper development and writing skills toward producing a premier journal article.

    FINA 8341: Seminar in Finance Topics               [3‐0]

    Selected topics in finance as they relate to current issues. Various contemporary subjects will be developed by the instructor of this course. Course may be repeated for credit with different topics.

    FINA 8350: Math for Finance               [3‐0]

    This course introduces the mathematical concepts necessary for pursuing microeconomic theory at the Ph.D. level: theory and application of linear algebra and constrained optimization.

    FINA 8360: Theory of Finance              [3‐0]

    This course entails a rigorous development of the fundamental theories within the field of finance. Topics include utility theory, decision‐ making under uncertainty, information and capital market efficiency, agency theory and dividend policy.

    FINA 8365: Theory of Investments               [3‐0]

    This course covers issues in investment analysis. The first part of the class is devoted to asset pricing theories beginning with Markowitz Portfolio Analysis and moving on to the Capital Asset Pricing Model, the Arbitrage Pricing Theory and the Fama‐French Three‐Factor Model. The course then delves into current issues related to investment analysis focusing on market efficiency and over‐reaction under‐ reaction phenomena. The last part of the course explores derivative pricing theories.

    FINA 8370: International Finance Management               [3‐0]

    This course covers international monetary environments and institutions; determinants of foreign exchange rates and risk management; and foreign investment analysis.

    FINA 8375: Corporate Finance                [3‐0]

    Financial theory applied to capital structure; investment decisions; corporate valuation; and corporate financial policies.

    FINA 8380: Financial Markets and Institutions               [3‐0]

    This course will provide students with an understanding of the mechanisms of various financial markets. It aims to develop a critical awareness of the theoretical and practical problems associated with regulating financial markets. The course will investigate how the market structures potentially cause and mitigate financial risk to market participants and end users. Also financial scandals and crises will be reviewed.

    INFS 8308: Theories in Cognitive and Behavioral Information Systems Research               [3‐0]

    This course examines IT and human behavior at the individual and pair levels related to cognitive and behavioral aspects such as trust, creativity, cooperation, acceptance and intention to use IT products.Students will learn how to develop strong theory‐driven research through reading seminal models and theories in human interaction with information technology in all forms, critiquing research manuscripts, and developing a research project of their own.

    INFS 8318: Theories in Managerial and Organizational Information Systems Research               [3‐0]

    This course examines topics of historical, current and future relevance in the implementation, adoption, use and management of information systems at the group and organizational levels using readings, case studies and lectures. This course takes both a theoretical and practical approach to business problem solving through the administration of IT‐related resources. Students will be exposed to topics such as group decision support systems, innovation diffusion, enterprise systems, among others, and learn how to develop strong theory‐driven research through readings, critiquing research manuscripts, and developing a research project of their own.

    INFS 8322: Scholarship Seminar               [3‐0]

    Doctoral students will have a one to one contact with a faculty member. The purpose of this seminar is to build up the student's paper development and writing skills toward producing a premier journal article.

    INFS 8328: Economics of Information Systems               [3‐0]

    This course introduces students to classic and contemporary research on economics of information systems using methodologies such as econometrics and analytical modeling. Examples of topics covered include IT business value, open source software, IS security and privacy, information goods, digital markets, online auctions, digital word‐of‐mouth, mobile commerce, social media and social networks, and crowdsourcing and crowdfunding.

    INFS 8330: Information Systems Research Methods               [3‐0]

    This seminar introduces doctoral students to qualitative and quantitative methods commonly used in information systems research. Students will get exposure to topics such as case studies, grounded theory, action research, psychometrics, survey questionnaire development, experiment design, quasi experimentation, multi‐level analysis, among others. Based on the understanding, each student will develop a research design, and conduct a pilot/empirical study to collect and analyze sample data.

    INFS 8338: Design Science Information Systems Research               [3‐0]

    This course focuses on developing skills for implementing and evaluating the techniques and methods used in design science research. The defining characteristics of design science research are discussed and contrasted to other types of research. Research methods and techniques are presented. A number of examples of design science research are presented and analyzed. The exemplars are from a variety of information systems areas including software engineering, database and knowledge‐based systems, and communication systems. Design science research focuses on developing solutions to problems that are of a particularly complex nature. Design science research utilizes and applies knowledge for the creation of novel or innovative artifacts that engender change or improvement in existing situations.

    INFS 8348: Data Mining and Business Analytics                [3‐0]

    This course introduces students to data and Web mining techniques and their applications in business analytics. Students will learn the algorithm and software to conduct data/Web mining and analytics using regression tree, regression splines, classification tree, neural networks and other methods. The business analytics applications deal with the collection and organization of both structured and unstructured data using databases, data warehouses and other sources as well as the result interpretation and utilizations in specific business contexts.

    INFS 8358: Digital Society               [3‐0]

    The increasing use of digital products is fundamentally changing the way people lead their lives. Digitization now affects everyday life, personal identity, groups, culture, safety, and virtually all aspects of existence. This course covers, but is not limited to gaming, sub‐cultures, social networks, e‐governance, social impact of IT usage and role of IT in making the world a better place.

    INFS 8368: Selected Topics in Information Systems               [3‐0]

    Selected Topics of historical, current and future relevance in the design, development, installation and management of computer information systems are examined using readings, case studies and lectures.

    INFS 8378: Independent Study               [3‐0]

    A doctoral student enrolls in this course to conduct independent research under the supervision of a faculty member.

    INFS 8388: Social Media Analytics               [3‐0]

    This course introduces students to tools and techniques used to analyze social media data, as well as applications of these methods in business research. Topics covered include analysis of individual, social, organizational and contextual networks using sophisticated network techniques and graph theories to identify connections and relationships among individuals and groups, and analysis of unstructured text data from social media such as Twitter, Facebook, blogs, and online communities using both qualitative and quantitative techniques.

    MARK 8309: Research Methods I               [3‐0]

    This seminar covers the philosophical, conceptual, methodological, and analytical dimensions of scientific curiosity, data collection, analysis, and reporting. It is an interdisciplinary journey to psychological, social and behavioral approaches to conceptual and empirical science. The seminar equips students with an introductory set of knowledge and skills that enables them to use methods appropriate for their own research projects.

    MARK 8310: Marketing Strategy               [3‐0]

    The seminar will familiarize students with several recurring marketing research issues with major emphasis on the development of strategic thought in marketing for students to appreciate how research streams have developed over the years. Central topics include the scope of marketing strategy, the globalization of specific marketing strategies (starting with the 4P’s) and the interface between marketing and other business functions.

    MARK 8311: Consumer Behavior                [3‐0]

    This seminar brings social science concepts, principles and theories to the study of factors that influence the acquisition, consumption and disposition of products, services and ideas with contributions from social and psychological sciences which inform the discussion of consumer behavior, which is global in nature.

    MARK 8312: Marketing Theory              [3‐0]

    This seminar is about rethinking marketing and the theories and debates that have dominated its discourses. Meaning of theory, criteria for assessing the strengths and weaknesses of theories in marketing, their positive and negative contributions to society and humanity and the potentials and challenges to the futures of marketing will be explored.

    MARK 8313: Qualitative Research Methods               [3‐0]

    The seminar is designed to help familiarize students with the historical and theoretical foundations of qualitative research methods, to develop the ability to evaluate research employing qualitative methods and to acquire skills in conducting qualitative research in marketing and management settings. Issues related to the reliability and validity of qualitative research findings and qualitative analyses will be addressed.

    MARK 8314: Markets and Globalization               [3‐0]

    Through the study of recent theories of globalization, this seminar will explore the role of markets and consumers in this phenomenon, the effects of globalization on the structures of markets and the formation of new markets around the world and the effects of marketing on globalization streams for an historical understanding of the phenomenon as well as its contemporary nature.

    MARK 8315: Services Marketing                [3‐0]

    This seminar is designed to develop an in‐depth understanding and knowledge of services marketing and relevant theories, to improve skills in reading the academic literature in services for thorough understanding, interpretation, critical evaluation and relevancy to the discipline and to improve abilities to develop and implement services‐related research.

    MARK 8320: Philosophy of Science               [3‐0]

    This seminar will introduce academic research fundamentals to doctoral students and prepare them for the follow‐up tasks of reviewing published research and writing research papers by exploring the various philosophies of science used in research. In addition, this seminar will help doctoral students prepare for their dissertation tasks and future publications.

    MARK 8322: Scholarship Seminar               [3‐0]

    Doctoral students will have a one to one contact with a faculty member. The purpose of this seminar is to build up the student's paper development and writing skills toward producing a premier journal article.

    MARK 8371: Seminar in Marketing Topics                [3‐0]

    Examination of marketing topics focused on current literatures and research interests of faculty and students. Course may be repeated for credit with different topics.

    MARK 8372: Marketing Seminar               [3‐0]

    An advanced examination of marketing topics focused on current literatures and research interests of faculty and students. Course may be repeated for credit with different topics.

    MGMT 8322: Scholarship Seminar               [3‐0]

    Doctoral students will have a one to one contact with a faculty member. The purpose of this seminar is to build up the student's paper development and writing skills toward producing a premier journal article.

    MGMT 8331: Research Methods I               [3‐0]

    This seminar covers the philosophical, conceptual, methodological, and analytical dimensions of scientific curiosity, data collection, analysis, and reporting. It is an interdisciplinary journey to psychological, social and behavioral approaches to conceptual and empirical science. The seminar equips students with an introductory set of knowledge and skills that enables them to use methods appropriate for their own research projects.

    MGMT 8332: Research Methods II               [3‐0]

    This course is designed to train Ph.D. students to conduct high quality research and to write a strong research paper publishable in a Type A/Premium scholarly journal. To achieve these objectives, we will study in‐depth the research process and methodologies. In addition, students are required to analyze and critique published studies in their field to gain expanded appreciation of how high quality research is conducted and disseminated. Students are also required to write and present a high quality research paper. This class is a Ph.D. seminar and, therefore, is an intensive learning experience. A necessary but not sufficient condition for success in this course is a commitment to excellence on the student’s part.

    MGMT 8333: Seminar in Organization Theory               [3‐0]

    The main purpose of this course is to familiarize doctoral students with the overall conceptualizations and contexts of the modern organization. Specifically, the contents of this course explore how the modern form of organizations evolved, how these organizations interact, influence and get influenced by their immediate and remote environments as well as how they organize their internal configurations. Five major theories of organizations will be discussed.

    MGMT 8334: Seminar in Operations Management              [3‐0]

    The main goal of this course is to introduce Ph.D. students to the field of operations management. Operations management is concerned with making strategic operations decisions, designing the operating systems and developing the operations planning and control processes for managing the resources in accordance with the overall business strategy. During the last three decades the strategic value of operations management to businesses has been widely recognized. Although each student can relate topics of the course to his or her discipline, the primary focus of the course is on operations management. The topics that will be covered include but are not limited to the in‐depth study and analysis of operations strategy, research methods used in the field of operations management, capacity strategy, process/product management, service operations, lean systems, quality management, supply chain management, and sustainability. Course also focuses on producing a research paper for a selected research question(s) in the field of operations management.

    MGMT 8335: Seminar in Strategic Management               [3‐0]

    This seminar introduces doctoral students to classic and contemporary thinking in the field of strategic management by examining both the theoretical and empirical developments in the last couple of decades as well as critiques and emerging research opportunities. More specifically, the course focuses on examining various concepts related to the conceptualization of corporate and business level strategies relating to sustainable competitive advantage of firms.

    MGMT 8336: Seminar in Entrepreneurship               [3‐0]

    This course is designed as a broad survey of major topics in the field of entrepreneurship. Its objective is to familiarize doctoral students with the primary theoretical underpinnings of the field as well as some of the common and/or promising methodological approaches to the study of entrepreneurial phenomena. Topics covered in the course include: a theoretical traditions in entrepreneurship, the nature of entrepreneurship research, foundations of the discipline, opportunity recognition, creativity and innovation, resource acquisition and management, venture performance, and special topics of entrepreneurs, such as international, corporate, and social entrepreneurs, among others.

    MGMT 8337: Seminar in Organizational Behavior               [3‐0]

    This doctoral seminar will provide an overview of classic and contemporary theory and research in the field of Organizational Behavior. Organizational Behavior examines the impact of individuals, groups, and structure on behavior within organizations. Some of the topic areas that we will cover include: job satisfaction and job attitudes, motivation, leadership, emotions and affect in organizations, organizational citizenship behavior, and work teams. In this course, critical review of current research in organizational behavior will be emphasized, as well as classic issues and theories within the field. Throughout the semester, we will also examine applications of this knowledge to real‐ world organizational contexts.

    MGMT 8338: Seminar in International Management               [3‐0]

    This doctoral seminar is a broad survey of major topics in the field of international management. The objective of the course is to familiarize doctoral students with the theory and research trends in the field. We will review important research papers in the area of national culture, general international business, as well as “micro” – cross‐cultural organizational behavior and international human resource management – and “macro” – international strategy and entrepreneurship – areas of management. This review will include methodological and research process issues. The course will follow a seminar format where students will act as experts in a student‐based discussion. Students are expected to write an academic research paper of publishable quality in the field of international management during the course.

    MGMT 8339: Special Topics in Management               [3‐0]

    Seminar topics will vary with the interests of the instructor or students. Readings and discussions will carry a research orientation with the goal to produce manuscripts suitable for submission to academic conferences or journals. Course may be repeated for credit with different topics.

    QUMT 8310: Applied Multivariate Data Analysis I               [3‐0]

    Multivariate statistical topics: heuristic review of univariate and bivariate statistical analysis, data examination to include missing data, outliers and assumptions of multivariate analysis, multiple regression analysis, discriminate analysis, logistic regression, and multivariate analysis of variance. Computer applications using appropriate statistical software packages will be presented, discussed and analyzed. Critical analysis of published research using these techniques will be performed.

    Prerequisite: QUMT 6303 or the equivalent.

    QUMT 8311: Applied Multivariate Data Analysis II               [3‐0]

    Multivariate statistical topics: Cluster analysis, multidimensional scaling, exploratory factor analysis, confirmatory factor analysis, structural equation modeling and emerging techniques in multivariate analysis. Computer applications using appropriate statistical software packages will be presented, discussed and analyzed. Critical analysis of published research using these techniques will be performed.

    Prerequisite: QUMT 8310.

    QUMT 8315: Advanced Quantitative Analysis               [3‐0]

    This course introduces students to advanced quantitative methods and their applications in academic research. Course may cover one or more of the following topics: bootstrapping, survival analysis, spatial analysis, Bayesian statistics, stochastic process, and nonparametric methods.

    Prerequisite: QUMT 8310, QUMT 6303 or the equivalent.