Management Science
- Master of Science in Management Science
- Certificate in Six Sigma
- Certificate in Systems Engineering
- Certificate in Human Factors Engineering
- Certificate in Design of Experiments
Patrick J. Sweeney, Interim Department Chairperson
The program of study leading to the Master of Science in management science is an interdisciplinary program administered by the School of Engineering, with the cooperative support of the College of Arts and Sciences, the School of Business Administration, and the School of Education and Allied Professions. Applications are invited from college graduates in all fields of study - business, education, engineering, liberal arts, physical sciences, and social sciences. The applicant whose preparation does not include at least three semesters of analytic geometry and calculus will be expected to complete appropriate prerequisite courses prior to admission to the program. Check us out at http://engineering.udayton.edu/programs/management
The management scientist is the manager or staff specialist who is trained in the quantitative methodologies of operations research, systems analysis, and the decision sciences. Graduates must be proficient in problem solving and decision-making, system modeling and optimization and the application of probability and statistical theory to management problems. Graduates must also be familiar with a variety of other topics, such as quality control, inventory planning and control, reliability and maintainability, and system simulation.
The objective of this program is to develop quantitative management skills and capabilities appropriate to each student's needs and objectives. The program emphasizes the practical application of management science techniques in our modern society.
Most courses are simulcast (offered in the classroom at the same time as they are offered via distance learning over the Internet at 11:30 a.m., 4:30 p.m., and 6:00 p.m.). These classes meet twice per week, typically Monday and Wednesday or Tuesday and Thursday. Nearly every course is live in the classroom, live on the internet, and recorded for future reference for the students.
In 2012, U.S. News & world Report ranked our department second in the nation in faculty credentials and training, 26th in student services and technology, and 35th in student engagement and accreditation.
Back To TopMaster of Science in Management Science
The program of study must include a minimum of 36 semester hours consisting of the following:
| ENM 500 | Prob&Stat for Engrs | 3 |
| MSC 521 | Intro to OPS Rsrch | 3 |
| MSC 535 | App Oper Res/Mgt Sci | 3 |
| MSC 572 | System Simulation | 3 |
| Group I - Probabilistic Modeling Electives | ||
| Select at least two of the following: | 6 | |
| Appl Engr Statistics | ||
| Mgt of Engr Systms | ||
| Cognitive Sys Engr | ||
| Quality Assurance | ||
| Dsgn & Analy Expr | ||
| Reliability Engr I | ||
| Forecast&time Series | ||
| Queueing Thry&Appl | ||
| Group II - Deterministic Modeling Electives | ||
| Select at least two of the following: | 6 | |
| Human Factors Engr | ||
| Engineering Economy | ||
| Sys Engr/Prjct Mgmt | ||
| Productn Engineering | ||
| Reliability Engr I | ||
| Engr Organizatnl Dev | ||
| Top-Operatns Resrch | ||
| Nonlinear Opt | ||
| Linear & Integer Opt | ||
| Advanced Topics-Opt | ||
| Inventry Theory&Appl | ||
| System Dynamics I | ||
| System Dynamics II | ||
| Intro-Artifcl Intell | ||
| Intro-Expert Systems | ||
| Sp Top:A I | ||
| Current Problems | ||
| Thesis | ||
| Twelve semester hours in a cognate field-or additional in-depth MSC courses- appropriate to the student's objectives, as approved by the advisor. Approved fields of study for the cognate field include applied mathematics, artificial intelligence, business administration, computer science, educational administration, engineering, human factors, and manufacturing. Two of these courses may be replaced by a 6-semester hour Master's thesis. | 12 | |
| Students admitted conditionally will first take the ENM 503 course and then the ENM 500 course the following term. Grades of "B" or better must be earned in each course so the student can be removed from conditional standing. The ENM 503 course will replace one of the program's free electives. | ||
| Total Hours | 36 | |
When applying for the MSC degree, please note that the Department of Engineering Management and Systems does not require the three letters of recommendation, a personal statement or resume, or GRE results as required by other University of Dayton departments and programs.
Back To TopCERTIFICATES
Programs of study leading to four graduate-level certificates are also available. These certificates are based on a complete knowledge of calculus. Students seeking any of these graduate certificates must apply to and be accepted for admission into a University of Dayton graduate degree program. All Graduate School policies pertaining to admission apply.
Back To TopCertificate in Six Sigma
The Certificate in Six Sigma is designed to offer practicing engineers and other technically-educated professionals the opportunity to master Six Sigma concepts by studying their theoretical roots and conceptual foundations through coursework at the graduate level. Upon successful completion, students are expected to be able to demonstrate an in-depth understanding of the statistical concepts underlying the methods & tools of Six Sigma, correctly apply those methods & tools, correctly analyze and interpret the results, and pursue further research or coursework in the area.
The certificate program is comprised of the following four courses:
| ENM 500 | Prob&Stat for Engrs | 3 |
| ENM 560 | Quality Assurance | 3 |
| ENM 561 | Dsgn & Analy Expr | 3 |
| ENM 565 | Reliability Engr I | 3 |
| Total Hours | 12 | |
Back To Top
Certificate in Systems Engineering
Systems engineering is an interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, and then proceeding with design synthesis and system validation while considering the system as a whole.
The certificate program is comprised of the following four courses:
| ENM 505 | Mgt of Engr Systms | 3 |
| ENM 530 | Engineering Economy | 3 |
| ENM 539 | Sys Engr/Prjct Mgmt | 3 |
| ENM 582 | Engr Organizatnl Dev | 3 |
| Total Hours | 12 | |
Back To Top
Certificate in Human Factors Engineering
This certificate is designed for individuals currently in or pursuing technical leadership positions in human factors and engineering involving the design and development of complex programs, processes, or products. It requires the successful completion of the six courses specified below. The certificate integrates traditional psychological coursework related to human performance with the systems and modeling emphasis of engineering.
The certificate program is comprised of the following six courses:
| ENM 515 | Human Factors Engr | 3 |
| ENM 532 | Cognitive Sys Engr | 3 |
| MSC 572 | System Simulation | 3 |
| PSY 531 | Hum Factrs-Sys Devlp | 3 |
| PSY 533 | Engr Psychology | 3 |
| PSY 535 | Ergonomics | 3 |
| Total Hours | 18 | |
Back To Top
Certificate in Design of Experiments
This certificate is offered to those technical professionals in the engineering and scientific community to furnish them with efficient techniques to solve challenging problems in key processes and product quality experimentaiton and design.
This certificate program is comprised of the following three courses:
| ENM 500 | Prob&Stat for Engrs | 3 |
| ENM 561 | Dsgn & Analy Expr | 3 |
| ENM 590 | Case Stds-Engr Mgt (This case study must apply the concepts in the Design of Experiments certificate under the direction of a faculty advisor.) | 3 |
| Total Hours | 9 | |
Courses
MSC 521. Intro to OPS Rsrch. 3 Hours
INTRODUCTION TO OPERATIONS RESEARCH
- This course covers methods, principles and fundamentals of deterministic and stochastic operations research. Emphasis is on the formulation and solution of mathematical models in decision making environments, the search for optimal solutions to these decisions, and the explicit treatment of uncertainty through the use of probabilistic modeling and statistical analysis. Models include linear and non linear programs, inventory and production models, decision analysis, forecasting. and queuing.
Corequisite(s): ENM 500.
MSC 522. Top-Operatns Resrch. 3 Hours
TOPICS IN OPERATIONS RESEARCH
- In depth study of the methods, principles and fundamentals of operations research, designed to provide additional depth and breadth in selected operations research subject areas. The selection of topics is based upon their usefulness in solving real world problems and their capability to enhance the student's model-building and model-solving skills. This course will further enable the student to pursue studies in operations research through the elective program, self-study and review of the published operations research literature.
Prerequisite(s): MSC 521 or equivalent.
MSC 523. Nonlinear Opt. 3 Hours
NONLINEAR OPTIMIZATION
- This course concentrates on methods and engineering/management science applications of nonlinear optimization. Both single- and multi-variable methods as well as unconstrained and constrained problems are addressed. The course blends theoretical results such as the Kuhn-Tucker conditions and numerical search techniques such as conjugate directions with applications.
MSC 526. Linear & Integer Opt. 3 Hours
LINEAR & INTEGER OPTIMIZATION
- This course covers advanced topics in linear and integer programming with application to real-world problems. Topics include the revised simplex method, the dual-simplex method, interior point algorithms, duality and sensitivity analysis, decomposition principle, and goal and integer programming.
Prerequisite(s): MSC 521 or equivalent.
MSC 527. Advanced Topics-Opt. 3 Hours
ADVANCED TOPICS IN OPTIMIZATION
- This course emphasizes advanced topics in nonlinear or linear optimization with application to the solution of real-world problems. Topics reflect the state of the art in mathematical programming and optimization.
Prerequisite(s): MSC 521; permission of instructor.
MSC 535. App Oper Res/Mgt Sci. 3 Hours
APPLIED OPERATIONS RESEARCH/MANAGEMENT SCIENCE
- This is a capstone course focused on the art rather than the 'science' of problem solving in management science and operations research. Emphasis is placed on the techniques of problem solving and model building, examination of unique problem cases, and a course project requiring modeling, data collection, and analysis.
Prerequisite(s): Completion of the management science core courses or equivalent.
MSC 542. Inventry Theory&Appl. 3 Hours
INVENTORY THEORY & APPLICATION
- In-depth coverage of inventory theory including both deterministic and stochastic models. Topics include EOQ models, quantity discounting, constrained inventory, the fixed reorder point model, the fixed review model, repairable inventory systems, and dynamic inventory/production models. Also discussed are system backorder and availability models. Both public and private sector applications are covered.
Prerequisite(s): MSC 521 or equivalent.
MSC 544. Forecast&time Series. 3 Hours
FORECASTING AND TIME SERIES ANALYSIS
- Concentration on statistical techniques for modeling and predicting discrete time-series phenomena, with emphasis on understanding and applying forecasting tools in analysis and management settings. Both classical smoothing methods and the Box-Jenkins methodology for model identification, estimation, and prediction are presented.
Prerequisite(s): MSC 500 or equivalent.
MSC 546. Queueing Thry&Appl. 3 Hours
QUEUING THEORY AND APPLICATION
- Emphasis on application of queuing theory to engineering problems. Machine interference, mathematical queuing models, marketing models, servicing problems, Monte Carlo techniques, and computer simulation models are covered.
Prerequisite(s): MSC 521 or equivalent.
MSC 555. System Dynamics I. 3 Hours
SYSTEM DYNAMICS I
- Introduction to the methodology for modeling the dynamics of complex engineering, business, and socioeconomic systems. These models are used to study the effect of organizational policies and design in higher-order, multiple-loop, nonlinear feedback systems.
MSC 556. System Dynamics II. 3 Hours
SYSTEM DYNAMICS II
- Continuation of MSC 555 with emphasis on the study of large-scale corporate, urban, educational, and ecological systems.
Prerequisite(s): MSC 555 or equivalent.
MSC 572. System Simulation. 3 Hours
SYSTEM SIMULATION
- This course is an introduction to stochastic discrete event simulation of complex systems and human performance. Topics covered include model creation, 2D and 3D animation, the process of generating random numbers and random variables, the analysis of input data, the computer modeling of real systems, validation and variation, and the analysis of simulation output. ARENA is the primary software used and Micro Saint Smart is demonstrated and is the secondary software used.
MSC 573. Simulatn/Human Perf. 3 Hours
SIMULATION OF HUMAN APPEARANCE
- This course is an introduction to stochastic discrete event simulation of human performance. Topics covered include model creation, 2D and 3D animation, the process of generating random numbers and random variables, the analysis of input data, the computer modeling of real systems, validation and variation, and the analysis of simulation output. ARENA is the primary software used and Micro Saint Smart is demonstrated and is the secondary software used.
Prerequisite(s): Graduate or senior status in the School of Engineering or the College of Arts and Sciences.
MSC 575. Intro-Artifcl Intell. 3 Hours
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
- Introduction to the methods of artificial intelligence with an emphasis on engineering design and analysis. Topics include logical and probabilistic reasoning, pattern matching, knowledge representation, search, rule-based systems, natural language processing, and computer vision. Concepts and applications are illustrated with Lisp programs.
MSC 577. Intro-Expert Systems. 3 Hours
INTRODUCTION TO EXPERT SYSTEMS
- Introduction to the development and application of rule-based systems using an integrated environment of commands, rules, databases, spreadsheets, text processing, and forms. Topics include knowledge representation, inference, search, ID3 algorithm, and logic along with suitable applications and their subsequent implementations.
MSC 579. Sp Top:A I. 1-6 Hours
SPECIAL TOPICS: ARTIFICIAL INTELLIGENCE
- Special topics include engineering applications using neural net architecture, object-oriented programming, genetic algorithm and advanced search methods illustrated in Common Lisp and a rule-based environment.
Prerequisite(s): MSC 575, 577, or permission of instructor.
MSC 595. Current Problems. 1-3 Hours
CURRENT PROBLEMS
- Topics of current interest in specialized areas of Management Science.
MSC 599. Thesis. 6 Hours
THESIS
- Thesis in Management Science.
