Decision, Operations & Information Technologies

Smith Business Close-Up: Surviving Disruptive Technologies

Thursday, June 21, 2012, 7:30 p.m.; Sunday, June 24, 2012, 7:30 a.m.

Companies must make an early move to either adopt a new business model, or morph the existing model to take advantage of disruptive innovation – or suffer the same death of one-time industry leaders Kodak, Blockbuster and Borders.

In this edition of Smith Business Close-Up with the University of Maryland’s Robert H. Smith School of Business, Henry Lucas talks how and why innovative technology can threaten the survival of many companies today.

UMD Business Experts Discuss Newspaper Industry Shifts

Media Alert: Aug. 13, 2013
Attention: Business Reporters

COLLEGE PARK, Md. Experts in the University of Maryland's Robert H. Smith School of Business are available to discuss the current state of the print news industry. Their analysis follow the recent Washington Post acquisition by Amazon.com founder and chief executive Jeff Bezos, the Boston Globe sale to Red Sox owner John Henry, plus other recent sales and spinoffs of newspapers across the United States.

Courses in Business Analytics

BUDT 725 Models and Applications in Operations Research

Credit will be granted for only one of the following: BMGT 735 or BUDT 725. Formerly BMGT 735.

Introduction to commonly encountered models and applications in Operations Research. Formulation and interpretation of solutions of linear optimization and network models, special structures and applications. First course in the OR MS and PhD concentration as well as an introduction to non OR-majors of these important and practical topics.

BUDT 732 Decision Modeling with Spreadsheets

Prerequisites: BUSI 620 and BUSI 671. Credit will be granted for only one of the following: BMGT 732 or BUDT 732. Formerly BMGT 732. 

The applicability and use of decision and management science models have increased dramatically in recent years due to the extraordinary improvements in computer, information and communication technologies. These developments in hardware and user interfaces such as spreadsheets have been complemented by the availability of large volumes of data, such as the automatic capture of point-of-sale information, and easy access to large databases. Personal computers and friendly interfaces have become effective "delivery vehicles" for powerful decision models that were once the exclusive province of experts. In this course, we will examine ways in which complex managerial problems can be tackled with decision models using spreadsheets. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.

BUDT 733 Data Mining for Business

Prerequisite: BUSI 630. Credit will be granted for only one of the following: BMGT 733 or BUDT 733. Formerly BMGT 733. 

A second level course managerial decision-making using contemporary methods of data analysis. Specific techniques covered in this course include [1] time series forecasting (e.g., for forecasting sales; financial series), [2] classification methods (e.g., for credit rating; in consumer behavior), [3] clustering methods (e.g., for market segmenting; for industry analysis), and [4] methods for visualization of multidimensional data sets (such as financial or customer databases). Theoretical issues will be either avoided or minimized. The emphasis is on understanding the applications of these techniques to specific decision-making situations encountered in consulting, marketing, finance, management and strategy. Upon successful completion of the course, a student should possess practical analytical skills that will provide him or her with a competitive edge in almost any contemporary managerial workplace.

BUDT 736 Data Mining

Prerequisite: BUSI 630. Recommended: BUDT 704.

Contemporary methods and processes for extracting information from large databases in support of tactical and strategic business decisions. Applications in areas such as customer relationship management, direct marketing, e-commerce, financial services and retailing.

BUDT 758x Games of Strategy

Pre-requisites: BUSI 681, BUSI 690. 

Course draws on insights from the field of game theory to explore decision making in a competitive (or interactive) environment. Topics and applications include: sequential and simultaneous games; pricing and promotions in oligopolies; preemptive capacity decisions; entry/exit decisions; signaling; contracts and alignment of incentives in compensation design, corporate governance and in supply chains; the role of credibility.

BUDT 758x Pricing and Revenue Management

Revenue (or yield) management (RM) first emerged in the post-deregulation US airline industry, and hit the jackpot in the mid 90's with American Airlines RM scoring $1 billion annual incremental revenues (almost 100% profit). The business strategy reformed the entire transportation and tourism industry, as well as telecommunications, broadcasting, ticketing, healthcare, fashion, manufacturing etc. Recently RM evolved to a new dimension with internet companies practicing dynamic and targeted pricing or auctions for products, services or advertisement slots. The WSJ identifies RM as "The number one emerging business strategy, a practice poised to explode"; the internet stands as a stimulating environment behind this explosion. Any business that has a fixed capacity and a perishable product or service is a candidate for revenue management, as long as customers vary in their willingness to pay. A specialized course on dynamic pricing and revenue management is meant to provide you with the right bundle of tools and principles, drawn from several disciplines (Operations, Microeconomics, Decision Modeling, Statistics, Marketing, IS) in order to maximize profits. The RM solution integrates pricing with sales and inventory management strategies. The first part of the course addresses pricing issues (pricing under various constraints, non-linear pricing, markdown pricing), from a combined economics and marketing perspective. The second part of the course provides tools and methods for combined pricing and capacity management decisions from an operational perspective.

Courses in Operations Management

BUDT 724 Operations Management

Prerequisites: BUSI 630. Credit will be granted for one of the following: BUSI 724 or BMGT 734. Formerly BMGT 734. 

This course covers concepts of operations management applied to both manufacturing and services, and can be divided into two broad areas. The first area includes operations strategy, process analysis and design, which include analysis of process flows and bottlenecks, waiting time models, and statistical quality control. The second is supply-chain management, which includes forecasting, JIT, linear programming, and advanced topics in inventory management.

BUDT 732 Decision Modeling with Spreadsheets

Prerequisites: BUSI 620 and BUSI 671. Credit will be granted for one of the following: BUSI 732 or BMGT 732. Formerly BMGT 732. 

The applicability and use of decision and management science models have increased dramatically in recent years due to the extraordinary improvements in computer, information and communication technologies. These developments in hardware and user interfaces such as spreadsheets have been complemented by the availability of large volumes of data, such as the automatic capture of point-of-sale information, and easy access to large databases. Personal computers and friendly interfaces have become effective "delivery vehicles" for powerful decision models that were once the exclusive province of experts. In this course, we will examine ways in which complex managerial problems can be tackled with decision models using spreadsheets. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.

BUDT 758x Pricing and Revenue Management

Prerequisite: BUSI 630 and BUSI 650.

Revenue (or yield) management (RM) first emerged in the post-deregulation US airline industry, and hit the jackpot in the mid 90's with American Airlines RM scoring $1 billion annual incremental revenues (almost 100% profit). The business strategy reformed the entire transportation and tourism industry, as well as telecommunications, broadcasting, ticketing, healthcare, fashion, manufacturing etc. Recently RM evolved to a new dimension with internet companies practicing dynamic and targeted pricing or auctions for products, services or advertisement slots. The WSJ identifies RM as "The number one emerging business strategy, a practice poised to explode"; the internet stands as a stimulating environment behind this explosion. Any business that has a fixed capacity and a perishable product or service is a candidate for revenue management, as long as customers vary in their willingness to pay. 

A specialized course on dynamic pricing and revenue management is meant to provide you with the right bundle of tools and principles, drawn from several disciplines (Operations, Microeconomics, Decision Modeling, Statistics, Marketing, IS) in order to maximize profits. The RM solution integrates pricing with sales and inventory management strategies. The first part of the course addresses pricing issues (pricing under various constraints, non-linear pricing, markdown pricing), from a combined economics and marketing perspective. The second part of the course provides tools and methods for combined pricing and capacity management decisions from an operational perspective.

BUDT 758x Project Management in Dynamic Environments

A great deal of knowledge work performed in today's organizations is project-based. thus project management skills are crucial to the performance of most managers. While project management techniques are well established, the turbulent environment faced by many projects presents unique challenges to the project manager.

This course teaches the basics of project management as codified in the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK). Covering the PMBOK facilitates preparation for PMI certification. In addition to the PMBOK, the course examines how this knowledge may be applied to technology-related projects. Participants also gain experience using project management tools and managing projects using a project management simulation.

Although no significant technology background is required for the class (a small amount of class time will be devoted to relevant technology), students will be expected to be proficient in quantitative models and oral presentations. During the course, teams will be running a web-based project management simulation; the simulator is integrated with Microsoft Project.

Topics Include:

  • Project organization
  • Time and cost estimation
  •  Managing quality and risks
  •  Project Staffing
  •  Challenges of managing IT projects
  •  Project Management tools

BUDT 758x Six Sigma

Six Sigma's DMAIC (define-measure-analyze-improve-control) breakthrough improvement strategy and methods are addressed with the intent of providing both understanding and applications level knowledge. Target level of content mastery upon course completion is comparable to 'Six Sigma Black Belt' and requirements include completion of a project that is 'six sigma greenbelt' level.

BUSI 790 Management of Technology

Prerequisite: None. 

Students are introduced to a variety of strategic and operational issues that arise when managing in the presence of technological innovation, and provide techniques to approach these issues. Topics include the formulation of innovation strategies, technology diffusion and forecasting, the process of developing new products and services, productivity measurement, and the implementation of process technologies aimed at improving productivity (manufacturing and services)

 

 

 

Courses in Information Systems

BUDT 703 Modeling and Designing IT Systems

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 703 or BMGT 725. Formerly BMGT 725.

Provides a solid foundation in the concepts, processes, tools, and techniques needed in systems development. Topics covered include process and data modeling, requirement analysis, object oriented design, user interface design, ERP and package implementation, and designing for the Web.

BUDT 704 Data Management Systems

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 704 or BMGT 721. Formerly BMGT 721.

Provides fundamental concepts and skills necessary for designing, building, and managing business applications which incorporate database management systems as their foundation. Topics covered include the fundamentals of database management (DBMS) technology, alternative methods for modeling organizational data, the application of delivering data through Web-based and other graphical interfaces.

BUDT 705 Telecommunications and the Internet

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 705 or BMGT 726. Formerly BMGT 726. 

Course focuses on helping the IT professional understand the technological, organizational, and managerial issues related to effective use of distributed computer networks such as the Internet. Topics include the evaluations of technologies for specific contexts and how to make investment recommendations. Also examines the economic factors that drive convergence and the powerful economic effects of open standard and connectivity.

BUDT 710 Information Technology & Corporate Transformation

Co-requisite: BUSI 620.

The impact and the enabling role of information technologies (IT) in transforming business and work group and individual processes. Topics include gaining competitive advantage through IT applications; identifying high pay-off IT applications, and leading the process of IT-induced change process.

BUDT 713 Security and Control of Information Systems

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 713 or BMGT 727. Formerly BMGT 727.

The information control risks faced by corporations. Techniques for enhancing the security and integrity of corporate information resources. The auditing and control procedures for corporate information systems. Actual case studies.

BUDT 736 Data Mining

Co-requisite: BUSI 620. Recommended: BUDT 704.

Contemporary methods and processes for extracting information from large databases in support of tactical and strategic business decisions. Applications in areas such as customer relationship management, direct marketing, e-commerce, financial services and retailing.

BUDT 758 Project Management in Dynamic Environments

A great deal of knowledge work performed in today's organizations is project-based. Thus project management skills are crucial to the performance of most managers. While project management techniques are well established, the turbulent environment faced by many projects presents unique challenges to the project manager. 

This course teaches the basics of project management as codified in the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK). Covering the PMBOK facilitates preparation for PMI certification. In addition to the PMBOK, the course examines how this knowledge may be applied to technology-related projects. Participants also gain experience using project management tools and managing projects using a project management simulation.Although no significant technology background is required for the class (a small amount of class time will be devoted to relevant technology), students will be expected to be proficient in quantitative models and oral presentations. During the course, teams will be running a web-based project management simulation; the simulator is integrated with Microsoft Project. Topics Include:

  • Project organization
  • Time and cost estimation
  • Managing quality and risks
  • Project Staffing
  • Challenges of managing IT projects
  • Project Management tools

BUDT 780 Digital Business Models and Technology

Prerequisite: BUSI 620.

Course examines how today's firms must exploit the unique opportunities that are appearing online and simultaneously respond to the online threats to their existing business model. Topics include: economics of new information products, online shopping, one-on-one marketing, electronic distribution, net-enabled transactions, supply chain integration, and electronic communities. Course also provides an overview of the technological infrastructure that enables electronic commerce.

BUSI 790 Management of Technology

Prerequisite: None.

Students are introduced to a variety of strategic and operational issues that arise when managing in the presence of technological innovation, and provide techniques to approach these issues. Topics include the formulation of innovation strategies, technology diffusion and forecasting, the process of developing new products and services, productivity measurement, and the implementation of process technologies aimed at improving productivity (manufacturing and services)

Short Descriptions of Current DO&IT Research Projects

Faculty Significant Projects (high impact and current relevance)
Hank Lucas

Taught a MOOC on Surviving Disruptive Technologies on Coursera 3 times

Helped launch the Smith School Online MBA Program

Chair of Blended and Online Learning Advisory Council

Zhi-Long Chen Working on several decision support tools for Shanghai, China based Baosteel, the third largest steel company in the world, to improve their production and logistics operations. This project involves a number of researchers in China, UK, and US. Several research papers are being revised or completed currently
Bruce Golden

Presented the Keynote Lecture at the Serbian Operations Research Society

In a forthcoming book by Corberán and Laporte entitled Arc Routing: Problems, Methods, and Applications, a handful of recent legends of arc routing (the routing of vehicles over a
street network) are mentioned and their photos are included. Larry Bodin and Bruce Golden (both from the Smith School) are two of them

Joseph Bailey Edison Scholar at the USPTO (http://www.uspto.gov/blog/index.jsp#expanded_2014_edison_scholars_program)
Zeinab Karake Working on a new book on Cyber Security Policies ans Strategies in Developing and Emerging Economies
Gordon Gao Examining the role of empowered patients in managing their chronic disease and improving quality transparency
Marget Bjarnadottir

Data driven examination of new health care payment models

Core faculty in the new Online MBA Program

Katherine Stewart MSIS: degree approval and STEM classification, growth to 90+ students, implementation of new curriculum, integration of SalesForce
Sunil Mithas New Book on the theme of innovation and transformation: Mithas, S. Dancing Elephants and Leaping Jaguars: How to Excel, Innovate, and Transform Your Organization the Tata Way Finerplanet, North Potomac, 2014

Research Impact

Faculty Reasearch Recognition (e.g., awards, media mentions, fellowships, etc)
Raghu Raghavan Top 15% instructor Smith School of Business
Joseph Bailey Top 15% instructor
Tunca Tunay

Management Science Best Information Systems Paper Award Finalist, 2014 (selected for best IS paper
published in Management Science in the past three years), "Who should be Responsible for Software
Security? A Comparative Analysis of Liability Policies in Network Environments",
2011, Management Science, 57 (5), 934-959. (with Terrence August)

“Digital Piracy: Fighting Fire with Fire”, Robert H. Smith School Alumni Magazine,
Fall 2014

Having it all: A Buyer's Guide to low cost, high quality. Forthcoming in Research @Smith, based on: Tunay I. Tunca, D.J. Wu and Fang Vivian Zhong, An
Empirical Analysis of Price, Quality, and Incumbency in Procurement Auctions, 2014, Manufacturing & Service Operations Management, 16 (3), 346-364.

Krowe Excellence in Teaching Award (2014)

Top 15% Teaching Award

Zeinab Karake Interviewd by MBC TV on the topic of Cyber Security
Gordon Gao

Management Science Meritorious Service Award

Media coverage: US News and World Report, Philadelphia Inquirer, WebMD, National Public Radio, Yahoo Health, the Wasington Post

Sean Barnes Honorable Mention (2nd Place): Decision Sciences Institute Elwood S. Buffa Dissertation Competition
Peng Huang Management Science Meritorious Service Award
Ilya Ryzhov Finalist, INFORMS Junior Faculty Forum best paper competition
Margret Bjarnadottir

Smith School of Business top 15% teaching award

Second place, 2013 POMS College of healthcare Operations Management Best Paper Award.

Shawn Mankad

Reuters, Chicago Tribune; Academic devise formula to gauge how well U.S. regulators listen, Jan 15, 2014

The Wall Street Journal; Do Regulators Listen to Public? Study Says Yes, Mar 7, 2014

Sunil Mithas

CIONET European Research Paper of the Year 2013 Award: Mithas, S., Tafti, A.R., Bardhan, I.R., and Goh, J.M. "Information Technology and Firm Profitability: Mechanisms and Empirical Evidence," MIS Quarterly (36:1) 2012, pp. 205-224 [Winner of the CIONET European Research Paper of the Year 2013 Award given by CIONET, an organization of about 4000 CIOs in Europe]

Baldrige Performance Excellence Program (National Institute of Standards and Technology) "'Making an Elephant Dance': How the Baldrige Criteria Helped Transform a Global Conglomerate (5 Sept 2014), available at http://www.nist.gov/baldrige/tata.cfm," 2014

Brown, M.G. "How to Detect Organizational Cancer and Promote Business Excellence, http://www.industryweek.com/detect-organizational-cancer," in: Industry Week (18 Sept 2014), 2014

PhD Course Descriptions (OM/MS)

Operations Management / Management Science (OM/MS)

PhD students in OM/MS are required to take at least 14 courses, as outlined in the requirements. Below is a list of courses offered by the DO&IT department in the OM/MS area: 

BMGT 830: Operations Research: Linear Programming
BMGT 831: Operations Research: Extension of Linear Programming and Network Analysis
BMGT 832: Operations Research: Optimization and Nonlinear Programming
BMGT 833: Operations Research: Integer Programming
BMGT 834: Operations Research: Probabilistic Models
BMGT 835: Simulation of Discrete-Event Systems
BMGT 882: Applied Multivariate Analysis I
BMGT 883: Applied Multivariate Analysis II
BMGT 898: Seminar in Operations Management


Courses

BMGT808I Information Systems Research
Offered every Fall semester
This is an introductory seminar in information systems research for doctoral students. Its objective is to introduce participants to some major streams of research in information systems and to help seminar participants understand the role of research in an academic community and the methods of social science research. Sample Syllabus [PDF]

BMGT808I Research Methods in Information Technology
Offered every Spring semester
The purpose of this seminar is to introduce students to the broad range of research methods used by Information Technology researchers. The course makes frequent use of guest lecturers to lead discussions on areas of their research expertise. An emphasis is placed on applying research methods in the development of each student's own individual research interests. For doctoral students with an Information Systems major the culminating project in this course serves as the basis for their first year summer project. Sample syllabus [DOC]

BMGT808L Technology Artifact in Information Systems Research
Offered in the Fall of odd-numbered years (e.g., 2003, 2005, 2007)
Sample Syllabus [PDF]

BMGT808 Current Topics in IS research
Survey of literature in selected research areas in information research. Topics change every semester.

BMGT 808 Research in Decision, Operations, & Information Technologies
One credit. The course includes attendance at a series of seminars on topics related to  research in Decision, Operations, & Information Technologies.

BMGT808D Strategic Management of Information Technology
Offered in the Spring of even-numbered years (e.g., 2004, 2006, 2008)
The goal of this seminar is to provide an understanding of the issues related to the adoption and use of information technologies in organizations, the leverage of value from information technologies, and the management of information technologies in organizations. Students will read and discuss various theories, conceptual issues, and empirical papers pertaining to research on these topics of inquiry.
Sample Syllabus [PDF]

BMGT808D Information Systems Economics
Offered in the Fall of even-numbered years (e.g., 2004, 2006, 2008)
This is a research-oriented doctoral seminar on IS Economics. Its primary objective is to familiarize seminar participants with the applications of microeconomic theories and modeling techniques to IS research problems. The seminar is also intended to motivate participants to explore the use of mathematical models to analyze a research question in their domain of interest. Seminar participants are expected to have adequate familiarity with calculus and simple optimization techniques.
Sample Syllabus [PDF]

BMGT808A E-Commerce and Supply Chain Management
Offered in the Spring of odd-numbered years (e.g., 2003, 2005, 2007)
Sample Syllabus [PDF]

BMGT808X Applied Regression
Offered every Fall semester
The main course objectives are 1. To learn about a wide variety of regression techniques; to understand when to use what technique; to understand the limitations of a particular technique; 2. To generate a basic understanding of the methodological principles underlying these regression techniques in order to become a critical user; 3. To learn the powerful statistical software R; and to implement these regression techniques using this software. Sample Syllabus [PDF]

BMGT882 Applied Multivariate Analysis I
Offered every Fall semester
Multivariate statistical methods and their use in empirical research. Topics include summarization and visualization of multivariate data, multivariate paired comparisons and repeated-measures designs, multivariate analysis of variance, discriminant analysis, and canonical correlation. An important component of the course is analysis of data using contemporary software. Each student will complete a project that applies at least two of the methods covered in the course to a data set of his/her choice.
Sample Syllabus [PDF]

BMGT883 Applied Multivariate Analysis II
Offered every Spring semester
A continuation of BMGT 882. Topics include generalized least squares, seemingly unrelated regressions, simultaneous-equations models, principal components, factor analysis, structural-equations models with latent variables (covariance structure analysis), and specification testing. Sample Syllabus [PDF]

BMGT 830 Operations Research: Linear Programming (3)
Prerequisites: MATH 240 or equivalent; or permission of department.
Concepts and applications of linear programming models, theoretical development of the simplex algorithm, and primal-dual problems and theory.

BMGT 831 Operations Research: Extension of Linear Programming and Network Analysis (3)
Prerequisite: BMGT 830 or equivalent; or permission of department.
Concepts and applications of network and graph theory in linear and combinatorial models with emphasis on computational algorithms.

BMGT 832 Operations Research: Optimization and Nonlinear Programming (3)
Prerequisites: {BMGT 830; and MATH 241; or equivalent}; or permission of department.
Theory and applications of algorithmic approaches to solving unconstrained and constrained non-linear optimization problems. The Kuhn Tucker conditions, Lagrangian and Duality Theory, types of convexity, and convergence criteria. Feasible direction procedures, penalty and barrier techniques, and cutting plane procedures.

BMGT 833 Operations Research: Integer Programming (3)
Prerequisites: {BMGT 830; and MATH 241 or equivalent}; or permission of department.
Theory, applications, and computational methods of integer optimization. Zero-one implicit enumeration, branch and bound methods, and cutting plane methods.

BMGT 834 Operations Research: Probabilistic Models (3)
Prerequisites: {MATH 241; and STAT 400 or equivalent} or permission of department. Theoretical foundations for the construction, optimization, and applications of probabilistic models. Queuing theory, inventory theory, Markov processes, renewal theory, and stochastic linear programming.

BMGT 835 Simulation of Discrete-Event Systems (3)
Prerequisites: Knowledge of Fortran, Basic, C, or Pascal; and BMGT 630 or equivalent. Simulation modeling and analysis of stochastic discrete-event systems such as manufacturing systems, inventory control systems, and computer/ communications networks.

BMGT 898 Seminar in Operations Management (3)
This seminar reviews recent research in operations management. Examples of topics include supply chain management, revenue management, operations strategy, production planning, new product development.

Operations Management/Management Science Major

OM/MS PhD Program Coordinator: Wedad Elmaghraby

Overview

The requirements for the PhD program in OM/MS can be divided into the following categories (details about each below):

  • Coursework: four courses in research methodology, 6 courses in the major, and 4 courses in a minor to be chosen by the student. 
  • Additional requirements:  Four one-credit seminars in research in DO&IT.. Further, students entering the program without an MBA or BS in business administration have an additional business breadth course requirement.
  • Qualifying exam: This exam is taken at the end of the first year in the program.
  • Comprehensive exam: This exam is taken at the end of the second year in the program.
  • Teaching: A funded student is required to TA for BMGT 332 (or similar course) once during the program, typically in his/her second year, and to teach one section of BMGT 332, typically in the third year.
  • Dissertation proposal defense: An oral defense of the dissertation proposal, with a significant portion of the dissertation (at least 40%) already completed.
  • Dissertation completion and defense.

Research Methodology Courses (4 courses)

Specific course numbers can change between semesters.  The most recent designation for each course is shown below:

  • BMGT 830
    Operations Research: Linear Programming (Fall 1st year)
  • BMGT 834
    Operations Research: Probabilistic Models (Fall 1st year)
  • BMGT 808G
    Doctoral Seminar: Applied Microeconomics, or equivalent (e.g., ECON 603) (Fall 1st year)
  • BMGT 808X
  • Doctoral Seminar: Applied Regression Analysis or equivalent (Spring 1st year)
    If a student chooses to take a course different than BMGT 808G, BMGT 808X or ECON 603, then the student needs approval from the PhD coordinator.  For more information about these and other courses, see department website.

Major Specification (6 courses)

There are two major concentrations: Operations Management (OM) and Management Science (MS). Courses are as follows:   

  • BMGT 808F: Seminar in Operations Management (Required; Spring 1st year)

Plus five additional courses.  The choice of courses is open; however, the student needs approval from the PhD coordinator when choosing a course sequence.     

Minor Specification (4 courses)

Four courses in an area. The choice of area is open; examples are shown below:

  • Logistics/Supply Chain Management
  • Management and Organization
  • Marketing
  • Finance
  • Information Systems
  • Statistics (courses outside of major area)
  • Management Science (courses outside of major area)
  • Applied Mathematics
  • Computer Science

Additional Requirements

  1. All students need to be enrolled, during their first and second years, in BMGT 8xx:  Research in Decision, Operations, & Information Technologies (1 credit).  
    This is a one-credit course, which basically requires attendance to the DO&IT research seminar series. The student will take this seminar every semester during his/her first two years in the program (total = 4 credits) 
  2. Business breadth courses: Students who enter the PhD program without an undergraduate (BSBA) or graduate degree (MBA, MS) in business administration are required to take two business breadth courses (2 or 3 credits each) at the MBA or doctoral level. Each one of these two courses should be in a different functional area than OM/MS: finance, accounting, management & organization, marketing, or information systems.  Example: Consider a student with a masters and undergraduate degrees in IE, and with a minor in marketing. Given the marketing minor, the student only needs to take one additional business breadth course (examples: MBA core Finance class, a doctoral seminar in organizational behavior, etc).  These courses can be taken anytime during the doctoral program. Additional questions about this requirement should be directed to the OM/MS PhD coordinator.

Qualifying Exam

This exam is taken during the summer of the first year (typically, last week of July), and comprises four 2-hour parts.  Parts 1, 2, and 3 will cover BMGT 830 (Linear Programming), BMGT 834 (Stochastic Processes), and BMGT 808F (Seminar in Operations Management), respectively.  The Part 4 subject area can be chosen by the student to cover the content of one other course taken by the student.  The course could be chosen from among the remaining required courses (Economics or Statistics) or could be a course taken by the student as part of his/her major concentration courses.  The precise format of each exam part will be determined by the faculty member designated to prepare that part, e.g., each part could be open or closed book.  However, questions are not expected to be a mere “repeat” of the final exam in the respective course, but rather can be more unstructured and attempt to test research potential.  If the student does not pass the first trial, the student shall be given an opportunity to repeat the exam in the winter (six months later).  Only two trials are allowed.  A student who fails the qualifying exam twice will not be allowed to proceed further in the Ph.D.  Program.

Comprehensive Exam

Prior to taking the exam, each student must designate a three-person examination committee comprised of DO&IT faculty.  The committee must be approved by the DO&IT PhD Coordinator by email. This exam is taken during the summer of the second year, at the time requested by the student and agreed upon by the committee.  The student has two choices:

The student can submit a research paper co-authored by the student and other faculty members (but not with another student).  The research paper is expected to be of such scope that it can be submitted to a refereed journal, i.e., it has to present an original contribution and it has to be complete, with introduction, literature review, analysis (model and/or data analysis) and conclusions.  Any faculty member(s) who are co-author(s) of the student are required to supply a statement to the PhD Coordinator indicating that the student did a significant portion of the intellectual work and writing of the paper.  The student needs to prepare and deliver a one-hour presentation of the paper to that student’s examination committee and the presentation will be open to the University Community.  During and after the presentation, the examination committee may question the student on the research paper and on topics in his/her major concentration area as they relate to the research paper.

The student is given three papers.  The set of three papers assigned to a student will be taken from that student’s major concentration area.  The student will be given two weeks to read the papers, and submit two deliverables:  a written document of at least 10 pages (12 pt. font, single spaced), explaining how the papers relate to each other, and offering suggestions for future research.  The student must also prepare and deliver a one-hour presentation on his/her conclusions to that student’s examination committee.  During and after the presentation, the examination committee may question the student on the assigned papers and on topics in his/her major concentration area as they relate to the papers.  The presentation will be open to all members of the University community.

Each student’s examination committee will provide informal feedback to the student immediately following the oral presentation part of the comprehensive exam.  However, a final grade will be given later after a meeting of the OM/MS PhD Comprehensive Examination Committee.  The OM/MS PhD Comprehensive Examination Committee will consist of the combination of the individual student examination committees together with the PhD Coordinator.  That committee will assign grades to the comprehensive exam.  It is anticipated that the merits of each student can be openly debated and that the meeting will also serve the purpose of providing guidance to those admitted students on how they should proceed in the program, e.g., they might be given guidance on research areas, possible thesis supervisors, etc.  Students will be allowed to take Part II only once and the decision on admission to candidacy will be final.  However, students will be allowed to petition to retake the comprehensive exam if they fail the exam.  Flexible MS degree options will be given to students who are not advanced after the qualifying or comprehensive exam.

Admission to Candidacy

  1. Completion of, and satisfactory grades in, all required courses in the Department:
    • BMGT 808F: Seminar in Operations Management
    • BMGT 830: Operations Research: Linear Programming
    • BMGT 834: Operations Research: Probabilistic Models
    • BMGT 808G: Doctoral Seminar: Applied Microeconomics, or equivalent
    • BMGT 808X: Doctoral Seminar: Applied Regression Analysis or equivalent
    • Plus seven electives in the major and/or minor, for a total of 12 courses. The remaining 2 courses (total = 14 courses required for BMGT PhD degree) can be taken in the student’s third year in the program, after advancing to candidacy.   
  2. A passing grade on the Department's Comprehensive Exam (summer of 2nd year)
  3. A passing grade on Qualifying Exam (summer of 1st year)

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