Note: This Catalog was published in July 2009 and supersedes the 2008-2009 Catalog.

Department of Information Systems and Operations Management

department web page: www2.uta.edu/infosys/
department contact: insy.om@uta.edu
graduate web page:
graduate contact:

Chair

R.C. Baker
535 Business
817.272.3502

College of Business Administration Overview Admission: MSIS Program | Degree Requirements | Courses: INSY, MASI, OPMA, STAT

Areas of Study and Degrees

Business Administration
M.B.A., Ph.D.
(See Program in Business Administration)

Information Systems
M.S.

Mathematical Sciences
Ph.D.
(See Interdepartmental and Intercampus Programs.)

Master's Degree Plans

Thesis or Thesis Substitute

M.S.I.S. Graduate Advisor

Carolyn Davis
510 Business, 817.272.7399

INSY Ph.D. Graduate Advisor

Radha Mahapatra
521 Business, 817.272.3590

OPMA/BSTAT Ph.D. Graduate Advisor

Greg Frazier
530 Business, 817.272.3559

Graduate Faculty

Professors

Baker, Frazier, Raja, Teng, Whiteside

Associate Professors

Cannon, Eakin, Mahapatra, Nerur, Prater, Sikora, Slinkman

Assistant Professors

Swafford, Wang, Zhang

Objective: M.B.A. Program

Information Systems emphasizes the preparation required for developing and managing computer-based information systems. The comprehensive curriculum includes the study of applicable computer hardware, software, and database technology; the design of information systems; and management and control of information technologies and applications.

Operations Management (OPMA) focuses on the activities involved in the transformation of inputs into outputs for both manufacturing and service organizations. The OPMA courses contain a variety of topics such as scheduling, inventory management, operations strategy, quality, logistics, project management and supply chain management.

Objective: Master of Science in Information Systems

The objective of the Master of Science degree in Information Systems is to provide qualified students with both a general knowledge of business and a specialized knowledge of information systems. Students are exposed to the theory, research, and practical applications of numerous information systems areas including management information systems, database management systems, systems analysis and design, and data communications; and may take electives in distributed systems, information resource management, general systems concepts, electronic commerce, ERP, decision support systems, problem formulation, computer science, management sciences, research, and other related fields. The program is designed to prepare students for information systems careers in government and nonprofit organizations as well as in business and industry.

Objective: Ph.D. in Business Administration Program

The objective of the Ph.D. degree in Business Administration (with majors in information systems, operations management, or business statistics) is primarily to develop scholars with an ability to teach and conduct independent research. This is accomplished through a combination of rigorous coursework and research activities. This course provides fundamental knowledge in the various areas of information systems, and offers insights into research topics of interest to IS researchers. The research interests of our INSY faculty members encompass technical, managerial, and organizational issues dealing with the development and deployment of information systems.

For a concentration in Operations Management (OPMA), coursework addresses various areas of the field, such as supply chain management, service operations, quality management, and inventory management. The goal of the OPMA Ph.D. program is to provide students with a balanced set of research methods and concepts to better understand and analyze operational problems and issues. Research approaches include empirical methods, conceptual techniques, and modeling.

For a concentration in Business Statistics (STAT), coursework can be taken in a wide variety of statistical areas focusing on different statistical approaches and techniques. Some STAT coursework can be taken from different departments across the university, as appropriate for the student's interests. The goal of the STAT Ph.D. program is to provide students with fundamental knowledge of common statistical approaches and techniques used in business analysis and research for improved decision-making.

Admission: M.S.I.S. Program

Admission to the M.S. in Information Systems (MSIS) program is based upon the completion of the general admission requirements of the Graduate School. For MSIS program admission an acceptable score on the Graduate Management Admission Test (GMAT) and a satisfactory record of undergraduate academic performance are required. Applicants are encouraged to submit with their application a resume that highlights professional and personal accomplishments, linguistic abilities, computer expertise and leadership experience. Applicants with two to five years of experience are preferred. A single standardized test score will not be used as the sole criterion for denying an applicant's admission to the MSIS program. Similarly, scores in English and quantitative skills that fall below acceptable levels on a single standardized test will be viewed in conjunction with other demonstrated skills in these areas.

Students for whom English is not their native language must achieve a Test of English as a Foreign Language (TOEFL) score of at least 550 (paper-based) or 213 (computer-based). International applicants that score below minimum acceptable levels on the verbal portion of entrance examinations may be admitted on probation with acceptable demonstration of English proficiency.

Multiple criteria (both quantitative and qualitative) are used to make admission decisions. Quantitative measures include an applicant's GMAT score, GMAT Verbal percentile, GMAT Quantitative percentile, and grade point average as calculated by the Graduate School. These measures are integrated into a formula, or index, that multiplies the grade point average by 200 and adds the total GMAT score. Index factors are weighed equally at the outset of applicant evaluation. When applicable, a graduate grade point average is considered when it is based on at least 24 semester hours of graduate work.

Along with the grade point average and GMAT total score, admission criteria include the following:

  1. GMAT sub-scores (verbal and quantitative)
  2. GMAT writing sample
  3. Grades in specified undergraduate business and business-related courses (math, accounting, economics, statistics, for example)
  4. Graduate academic performance, if applicable
  5. Educational objectives and quality of written expression of the application essay
  6. Letters of recommendation from three persons familiar with the applicant's academic background and/or work experience
  7. Undergraduate major and relevance to graduate study in IS
  8. General and specific program accreditation status of degree granting institution
  9. Professional work experience
  10. Professional certification or licensure

Unconditional Admission

For unconditional admission, the applicant's composite total from the index must be 1080 or higher, and items 1 through 6 above should strongly indicate potential for successful academic performance as a graduate information systems student. If an applicant falls below the GMAT Verbal percentile of 30 and/or the GMAT Quantitative percentile of 30, corroborating evidence of proficiency in that skill will be reviewed.

Students who are unconditionally admitted must have a minimum undergraduate grade point average of 3.00 as calculated by the Graduate School (or 3.00 at the graduate level), and enroll for a minimum of six semester credit hours to be eligible for available fellowship and/or scholarship support. A standardized test score will not be used as the sole criterion for determining fellowship and/or scholarship eligibility.

Probationary Admission

For an applicant with an index score below 1080, probationary admission may be available when at least three items of 1 through 6 above strongly indicate potential for successful academic performance as a graduate information systems student. Items 7 through 10 will also be used to identify positive indicators for admission. When verbal or quantitative percentiles are below the 30th percentile, probationary admission may be available. Students admitted on probationary status for low verbal or quantitative percentiles, must satisfactorily complete one or more English and/or math courses in the first two semesters as specified by the Graduate Advisor. Students who are admitted on probation must meet the conditions specified, such as no grade less than 'B' for the first 12 hours of graduate study and any required undergraduate course.

Provisional, Deferred and Denied Admission

A provisional decision to admit may be granted when the applicant meets criteria for unconditional or probationary status but one or more applicant credentials are incomplete. A deferred decision may be made when an applicant's file is not sufficiently complete to make an admit or deny decision.

For an applicant who does not meet minimum acceptable scores on the GMAT, and other evidence indicates lack of potential for academic success as a graduate information systems student, admission will be denied. However, all applicant data will be carefully reviewed before an admission denial is made.

Admission Changes effective August 2010

Degree Requirements

The program consists of a minimum of 30 semester hours, including six hours of thesis work. Nine semester hours of advanced electives approved by the Graduate Advisor can be substituted for the thesis, in which case the advanced program will be 33 semester hours. Students who do not have sufficient general business knowledge may be required to take business foundation coursework as described below or the equivalent studies. Foundation courses may be waived if equivalent coursework has been completed with a grade of B or better within the last 10 years.

Students with no background in computers or business math may have to take deficiency courses prior to the foundation courses. Students who are deficient in written and/or oral communication may be required to take appropriate English and speech courses.

The minimum advanced program of 30 semester hours contains six hours of required work in research and statistical methods; 12 hours of required work in object-oriented business programming, database management systems, systems analysis and design, and distributed information systems and data communications; six hours of electives (to be selected from an approved list of elective courses, or to be approved upon selection by the Graduate Advisor); and six hours of thesis demonstrating acceptable performance on a major systems project or an approved nine-semester-hour thesis substitute.

The required curriculum is as follows:

  1. Foundation Courses (18 semester hours)
    • ACCT 5301 Accounting Analysis I
    • ECON 5311 Economic Analysis
    • MARK 5311 Marketing
    • FINA 5311 Finance
    • MANA 5312 Management
    • OPMA 5361 Operations Management
  2. Advanced Courses (Thesis Substitute Option - 33 hours; Thesis Option - 30 hours)
    1. BSTAT 5325 Advanced Statistical Methods (3 semester hours)
    2. Required Information Systems courses
      Thesis Substitute Option (15 semester hours)*
      • INSY 5309 Object Oriented Business Programming
      • INSY 5335 Applied Database Management
      • INSY 5341 Systems Analysis and Design
      • INSY 5343 Computer Networks and Distributed Systems
      • INSY 5375 Management of Information Systems
    3. Thesis Option (12 semester hours)*
      • INSY 5309 Object Oriented Business Programming
      • INSY 5335 Applied Database Management
      • INSY 5341 Systems Analysis and Design
      • INSY 5343 Computer Networks and Distributed Systems
    4. Approved Electives
      Thesis Substitute Option (15 semester hours)
      Approved electives (15 semester hours)
      Thesis Option (15 semester hours)
      Thesis (INSY 5698) (6 semester hours)
      Approved electives (9 semester hours)

To the extent possible, electives should be chosen from one of the suggested information systems concentration: security or software architecture.**

Upon Graduate Advisor approval, outside elective courses may be selected from areas such as accounting, computer science, finance, industrial engineering, management, management sciences, marketing, mathematical sciences, psychology, and operations management (6 semester hours).

*Courses may be substituted if equivalent courses have been taken.
**An approved 3-credit hour graduate internship (INSY 5399) may also be taken as an elective.


The grade of R (research in progress) is a permanent grade; completing course requirements in a later semester cannot change it. To receive credit for an R-graded course, the student must continue to enroll in the course until a passing grade is received.

An incomplete grade (the grade of I) cannot be given in a course that is graded R, nor can the grade of R be given in a course that is graded I. To receive credit for a course in which the student earned an I, the student must complete the course requirements. Enrolling again in the course in which an I was earned cannot change a grade of I. At the discretion of the instructor, a final grade can be assigned through a change of grade form.

Three-hour thesis courses and three- and six-hour dissertation courses are graded R/F/W only (except social work thesis courses). The grade of P (required for degree completion for students enrolled in thesis or dissertation programs) can be earned only in six- or nine-hour dissertation courses and nine-hour thesis courses. In the course listings below, R-graded courses are designated either "Graded P/F/R" or "Graded R." Occasionally, the valid grades for a course change. Students should consult the appropriate Graduate Advisor or instructor for valid grade information for particular courses. (See also the sections titled "R" Grade, Credit for Research, Internship, Thesis or Dissertation Courses and Incomplete Grade in this catalog.)

Courses in Information Systems (INSY)

INSY5182 - INDEPENDENT STUDIES IN INFORMATION SYSTEMS (1 - 0)
Extensive analysis of an information systems topic. Graded F, P, R. Prerequisite: permission of instructor.

INSY5199 - GRADUATE INFORMATION SYSTEMS INTERNSHIP (1 - 0)
Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY5299 - GRADUATE INFORMATION SYSTEMS INTERNSHIP (2 - 0)
Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY5309 - OBJECT-ORIENTED BUSINESS PROGRAMMING (3 - 0)
Topics include fundamental programming structures, objects and classes, inheritance, and other basic concepts related to OO programming.

INSY5333 - INFORMATION TECHNOLOGIES FOR STRATEGIC MANAGEMENT (3 - 0)
A nontechnical, managerially-oriented introduction to information technology applications that enhance an organization's competitive effectiveness. Topics include: Executive Information Systems (EIS), Enterprise Resource Planning (ERP), Supply Chain Management (SCM) systems, data warehousing and mining, business intelligence, knowledge management, e-business, and approaches to integrate these technologies with corporate strategic planning and management. Graded A, B, C, D, F, W.

INSY5335 - APPLIED DATABASE MANAGEMENT (3 - 0)
Concepts, tools, and technologies associated with the design, implementation and management of large databases are presented. Topics include data models (with emphasis on E/R model and relational model), database design and implementation, database query language, transaction management, and distributed databases. Recent advances in data management are also discussed. Use of a commercial DBMS is required. Prerequisite: INSY 5309.

INSY5337 - ADVANCED DATA MANAGEMENT (3 - 0)
This course covers concepts, tools, and technologies associated with the design and implementation of data warehouses. It also covers tools and techniques used in mining business data. These objectives are met through a combination of lectures, group projects and homework assignments. Prerequisite: INSY 5335

INSY5339 - PRINCIPLES OF BUSINESS DATA MINING (3 - 0)
This course provides an overview of the life cycle stages of a data mining project, contexts in which data mining is applied, a survey of data mining techniques, and measuring the effect of the resulting action. Additional topics include communicating with management representatives and IT professionals, ethical issues in data mining, and relationships with reference disciplines such as statistics, artificial intelligence, machine learning and database. Learning is facilitated by a combination of lectures, group projects, and homework assignments. This course is cross-listed with BSTAT 5339. Prerequisite: BSTAT 5325. May be taken concurrently.

INSY5340 - MANAGING THE DIGITAL ENTERPRISE (3 - 0)
This course examines a wide variety of topics important to understanding and managing the Digital Enterprise. Topics may include: Internet infrastructure and related technologies; e-business models; security; ethical, legal, global, and social concerns; and managerial and marketing issues.

INSY5341 - ANALYSIS AND DESIGN (3 - 0)
Analysis and design phase of systems development life cycle. Topics include systems survey, functional specification, interface specification, data design, program design, system testing, and implementation. Prerequisite: INSY 5335

INSY5342 - ADVANCED SYSTEMS DESIGN (3 - 0)
This course provides an understanding of state-of-the-art software development methodologies, including those that are fast emerging. The focus will be on how these new methods differ from traditional practices and what research opportunities they afford to IS researchers. There will be a strong emphasis on technical as well as on socio-technical aspects of software development in the context of these new methodologies. Prerequisite: INSY 5341.

INSY5343 - DATA COMMUNICATIONS AND NETWORKING (3 - 0)
Technological and managerial issues related to design, operation and maintenance of computer networks. Topics include communication architectures and protocols, LANs and WANs, ATM and frame relay, cellular and satellite communication, the World Wide Web, the Internet, and electronic commerce.

INSY5347 - PRINCIPLES OF INFORMATION SECURITY (3 - 0)
Starting with an introduction to Information Security concepts, this course will address security terminology, history, management, technology and practice based on the Security Domains specified by ISC2. The course will address strategies and tools, managerial, technological, legal, ethical and operational issues related to Information Security. Topics in developing Security Blueprint, Incidence Response, Business Continuity planning and Disaster Recovery will be addressed. Prerequisite: INSY 5343

INSY5350 - HEALTH CARE INFORMATION SYSTEMS (3 - 0)
Addresses issues in the development, integration, and management of health care information systems. Specifically, topics in financial information systems, patient care systems, and health care delivery applications will be discussed. Both case studies and real life applications will be studied. Prerequisite: Cohort HCAD Major

INSY5352 - TOPICS IN OBJECT TECHNOLOGY (3 - 0)
Coverage of current topics in Object Technology to include the study of object-oriented agents, components, object request Brokers, distributed objects and related implementations of object-oriented software. Also includes the study of design patterns in object-oriented software design. Prerequisite: INSY 5309.

INSY5354 - ENTERPRISE APPLICATION DEVELOPMENT (3 - 0)
This course will address the architectures, methodologies, tools and techniques used in the development and deployment of enterprise-level information systems applications. The topics covered will include client/server applications, intranet/internet applications, distributed applications, enterprise-level objects and server-side components. Prerequisite: INSY 5341 and 5352.

INSY5357 - ENTERPRISE RESOURCE PLANNING (3 - 0)
An introduction to enterprise resource planning (ERP), a business management paradigm that integrates all facets of the business, including planning, manufacturing, sales, finance and marketing. Course will cover both the methodology and practice of ERP using commercial software packages. Prerequisite: INSY 5330.

INSY5363 - INTELLIGENT INFORMATION SYSTEMS (3 - 0)
Topics include expert systems, inductive learning, genetic algorithms, neural networks, simulated annealing, etc. Prerequisite: INSY 5309.

INSY5365 - COMPUTER FORENSICS AND INVESTIGATIONS (3 - 0)
This course provides an introduction to acquiring and analyzing digital evidence for forensic purposes. The course will cover tools and techniques of forensics investigation of computer crimes. Topics covered include analysis file structures, data recovery, email and network analysis, digital investigations, expert witness testimony, and preserving evidence for law enforcement and legal proceedings. Prerequisite: INSY 5347.

INSY5370 - ENTERPRISE APPLICATION DEVELOPMENT (3 - 0)
Designing, developing and deploying enterprise class software requires different level of knowledge, expertise and skill. This course address the techniques, methods and technologies needed to develop and deploy enterprise-level software applications. These topics are addressed from the perspectives of architecture, components, patterns and frameworks. Prerequisite: INSY 5309

INSY5373 - INFORMATION SYSTEMS PROJECT MANAGEMENT (3 - 0)
This course introduces students to the concepts and practices of project management and their importance to improving the success of information technology projects. Distinct aspects or characteristics of IT projects which cause these projects to behave differently in the corporate world than do other, non-technical, projects will be discussed. Prerequisite: INSY 5341

INSY5375 - MANAGEMENT OF INFORMATION SYSTEMS (3 - 0)
Addresses the management of the information resource from a senior management viewpoint. Covers the use of information technology to achieve competitive advantage, information technology and the organization, managing information assets, managing outsourcing, information technology operations and management processes, and information technology as a business.

INSY5379 - ORGANIZATIONAL RESEARCH PROJECT (3 - 0)
Students conduct a research project at a local organization, focusing on applications of information systems concepts studied in their coursework. Prerequisite: Cohort INSY Major.

INSY5382 - INDEPENDENT STUDIES IN INFORMATION SYSTEMS (3 - 0)
Extensive analysis of an information systems topic. Graded F, P, R.

INSY5392 - SELECTED TOPICS IN INFORMATION SYSTEMS (3 - 0)
In-depth study of selected topics in information systems. May be repeated when topics vary.

INSY5398 - THESIS (3 - 0)
Graded F,R

INSY5399 - GRADUATE INFORMATION SYSTEMS INTERNSHIP (3 - 0)
Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY5698 - THESIS (6 - 0)
Graded F, R, P.

INSY6182 - INDEPENDENT STUDY IN INFORMATION SYSTEMS (3 - 0)
Doctoral level study of information systems topics. Prerequisite: Doctoral standing.

INSY6301 - SEMINAR IN RESEARCH FOUNDATIONS (3 - 0)
Integrative analysis of research in information systems, including research philosophies and methodologies, contemporary research topics, dissertation research and future directions for information systems research. Prerequisite: Doctoral standing.

INSY6306 - SEMINAR IN INFORMATION TECHNOLOGIES (3 - 0)
Focuses on contemporary technology issues in IS development and deployment. Prerequisite: Doctoral standing and INSY 6301.

INSY6307 - SEMINAR IN IS MANAGEMENT (3 - 0)
Focuses on managerial and organizational issues in IS. Prerequisite: Doctoral standing and INSY 6301

INSY6392 - SELECTED TOPICS IN INFORMATION SYSTEMS (3 - 0)
Advanced doctoral level topics in Information Systems. May be repeated when topics vary. Prerequisite: Doctoral standing.

Courses in Management Sciences (MASI)

MASI5182 - INDEPENDENT STUDIES IN MANAGEMENT SCIENCES (1 - 0)
Extensive analysis of a management sciences topic. Graded F, R, P.

MASI5199 - GRADUATE MANAGEMENT SCIENCES INTERNSHIP (1 - 0)
Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI5282 - INDEPENDENT STUDIES IN MANAGEMENT SCIENCES (2 - 0)
Extensive analysis of a management sciences topic. Graded F, R, P.

MASI5299 - GRADUATE MANAGEMENT SCIENCES INTERNSHIP (2 - 0)
Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI5330 - NONPARAMETRIC STATISTICS (3 - 0)
A survey of statistical techniques which may be used when the normal assumptions of parametric statistics cannot be made; inclusion of procedures for cross-classified data, methods involving ranks, and Kolmogorov-Smirnov type techniques. Prerequisite: STAT 5325.

MASI5331 - STATISTICAL GRAPHICS AND GRAPHICAL PERCEPTION (3 - 0)
Graphical depiction and analysis of data structure, graphical software, and graphical perception. Statistical topics would include exploratory analysis of univariate and multivariate data using graphical software, e.g., Lowess Smoothing and Sunflower Plots. Graphical perception topics include mental imaging theory, Weber¿s and Steven¿s Laws, decision support, and review and critiques of current literature. Prerequisite: STAT 5325.

MASI5332 - ADVANCED DATA COLLECTION (3 - 0)
Surveys, audits, samples and experimental designs contrasted and compared as a basis for statistical inference. Emphasis is on the integration of techniques common to differing areas of business research. Prerequisite: STAT 5325.

MASI5382 - INDEPENDENT STUDIES IN MANAGEMENT SCIENCES (3 - 0)
Extensive analysis of a management sciences topic. Graded F, R, P.

MASI5399 - GRADUATE MANAGEMENT SCIENCES INTERNSHIP (3 - 0)
Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI6309 - MULTIVARIATE STATISTICAL METHODS (3 - 0)
Focuses on methods of analyzing mean and covariance structures. Topics include commonly applied multivariate methods such as multiple analysis of variance, repeated measures, discriminant analysis, profile analysis, canonical correlations, and factor analytic methods. The use of matrix algebra and available computer packages will be stressed. Prerequisite: Doctoral standing and STAT 5325.

Courses in Operations Management (OPMA)

OPMA5199 - GRADUATE OPERATIONS MANAGEMENT INTERNSHIP (1 - 0)
Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA5299 - GRADUATE OPERATIONS MANAGEMENT INTERNSHIP (2 - 0)
Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA5321 - INTRODUCTION TO MANAGEMENT SCIENCES (3 - 0)
Introduction to optimization and quantitative analysis of business problems. Topics include applications of linear and integer programming, network analysis, simulation, game theory, queuing theory, and other operations research tools.

OPMA5361 - OPERATIONS MANAGEMENT (3 - 0)
Introduction to concepts and problem-solving techniques important in production management and operations management. Topics include demand forecasting, capacity management, resource allocation, inventory management, supply chain management, quality control, and project management.

OPMA5363 - OPERATIONS PLANNING AND CONTROL (3 - 0)
Course covers operations planning and control systems in manufacturing and service organizations. Topics include inventory control, material requirements planning, Just-In-Time and lean manufacturing, production scheduling, capacity planning, and operations planning and control software. Prerequisite: OPMA 5361.

OPMA5364 - PROJECT MANAGEMENT (3 - 0)
Course covers concepts and issues important in effectively managing projects. Topics include project selection, project planning, negotiation, budgeting, scheduling, resource allocation, project control, project auditing, and project termination.

OPMA5367 - QUALITY MANAGEMENT (3 - 0)
Course focuses on quality of products and services needed by society. Topics include consideration of quality cost and improvements, designing for quality, process controls, inspections, testing, acceptance sampling, management controls, and quality information systems. Prerequisite: BSTAT 5301.

OPMA5368 - GLOBAL SUPPLY CHAIN MANAGEMENT (3 - 0)
Course covers concepts and issues important in managing supply chains. A strategic view is taken of the way companies coordinate their operations with suppliers and customers in a global marketplace. The strategic use of information systems to better manage supply chains is also covered. Prerequisite: OPMA 5361.

OPMA5369 - LOGISTICS MANAGEMENT (3 - 0)
Course covers physical supply, in-plant movement and storage, and physical distribution of materials, which comprise logistics systems in industry. Topics include facility location, transportation, warehousing, inventory control, distribution networks, and logistics information systems. Prerequisite: OPMA 5361.

OPMA5379 - ORGANIZATIONAL RESEARCH PROJECT (3 - 0)
Students conduct a research project at a local organization, focusing on applications of business concepts studied in their coursework. Prerequisite: Cohort MBA Major

OPMA5389 - INDEPENDENT STUDIES IN MILITARY ACQUISITION (3 - 0)
This course is reserved for military officers in the Training with Industry or I-Grade programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA5392 - SELECTED TOPICS IN OPERATIONS MANAGEMENT (3 - 0)
In-depth study of selected topics in operations management. May be repeated when topics vary.

OPMA5399 - GRADUATE OPERATIONS MANAGEMENT INTERNSHIP (3 - 0)
Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA5689 - INDEPENDENT STUDIES IN MILITARY ACQUISITION (6 - 0)
This course is reserved for military officers in the Training with Industry or I-GRAD programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA5989 - INDEPENDENT STUDIES IN MILITARY ACQUISITION (9 - 0)
This course is reserved for military officers in the Training with Industry or I-Grade programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA6370 - SEMINAR IN OPERATIONS MANAGEMENT (3 - 0)
Doctoral seminar that is a comprehensive and integrative study of operations management that focuses on theoretical frameworks, applications of models, and methods of analysis. Prerequisite: Doctoral standing.

OPMA6371 - INTEGRATED OPERATIONS STRATEGY AND RESEARCH (3 - 0)
Linkages between the manufacturing and strategy development functions. Research issues within production/operations management. Current techniques/designs for achieving effective research. Prerequisite: Doctoral standing and OPMA 5361.

OPMA6380 - RESEARCH IN OPERATIONS MANAGEMENT (3 - 0)
Independent research under the supervision of a faculty member. May be repeated for credit. Prerequisite: Doctoral standing.

Courses in Business Statistics (BSTAT)

BSTAT5301 - INTRODUCTION TO STATISTICS (3 - 0)
Introduction to statistics, designed to prepare graduate students to become competent consumers of statistical information that they will encounter in their professional and personal lives. Students should be able to perform basic statistical analyses and to think critically when interpreting statistical results. Topics include probability, random variables, sampling distributions, confidence intervals, tests of hypotheses, and simple regression. May not be counted as an MBA foundation course or elective. Prerequisite: MATH 1315.

BSTAT5303 - QUANTITATIVE ANALYSIS (3 - 0)
Study of the methods of quantitative analysis used in business administration. Topics include matrix algebra, systems of linear equations, differential and integral calculus, linear programming, classical optimization, and a survey of management science models. Prerequisite: MATH 1315.

BSTAT5315 - STATISTICAL METHODS FOR HEALTH CARE ADMINISTRATORS (3 - 0)
Statistical methods designed to prepare graduate students to become competent producers and consumers of data analyses and to use statistical thinking to approach managerial decision making. Students should be familiar with the effectiveness and limitations of various applicable techniques and should be able to recognize when additional statistical expertise is required. Topics include an introduction to evidenced based medicine, probability with an emphasis on the poor predictive value of imperfect diagnostics for rare conditions, standardizing and trending data, graphic and numeric descriptions of data, concepts of inference such as margins of error and significance of results, concepts of quality control including time series analysis and forecasting, and health care applications of discrete random variables with Poisson or binomial probability mass functions. It is recommended that students who have no recent courses in statistics take BSTAT 5301 prior to BSTAT 5315.

BSTAT5325 - ADVANCED STATISTICAL METHODS (3 - 0)
Advanced statistical methods designed to prepare graduate students to become competent producers and consumers of statistical methods and to use statistical thinking to approach managerial decision making in their careers. They should be able to recognize the strengths and weaknesses of applicable techniques and when additional statistical expertise is required. Topics include multiple regression, correlation, experimental design and analysis, time series and other statistical methods with emphasis on their application to managerial decision making. It is strongly recommended that students who have no recent courses in statistics take BSTAT 5301 prior to BSTAT 5325.

BSTAT5339 - PRINCIPLES OF BUSINESS DATA MINING (3 - 0)
This course provides an overview of the life cycle stages of a data mining project, contexts in which data mining is applied, a survey of data mining techniques, and measuring the effect of the resulting action. Additional topics include communicating with management representatives and IT professionals, ethical issues in data mining, and relationships with reference disciplines such as statistics, artificial intelligence, machine learning and database. Learning is facilitated by a combination of lectures, group projects, and homework assignments. This course is cross-listed with INSY 5339. Prerequisite: BSTAT 5325. May be taken concurrently.

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