2023-2024 Academic Catalog

Engineering Management

Susan Scachitti, Chairperson, Department of Engineering Management, Systems, & Technology
Dr. Sunil Kulkarni, Interim Graduate Programs Director, Department of Engineering Management, Systems, and Technology

Doctor of Engineering, Systems Engineering and Management (SEM)

The D.E. plan of study with an approved master’s degree requires a minimum of 60 credit hours beyond the master’s degree, which consists of 39 credit hours of approved coursework and 21 credit hours of Dissertation Research. Specifically, the DE plan of study consists of the following coursework inclusive of appropriate coursework taken as part of a master's degree.

DE Plan of Study
Core Coursework
ENM 505Management of Engineering Systems3
SYE 551Systems Architecture and Model-Based Systems Engineering 3
SYE 572System Simulation3
SEM 600Engineering Research Methods3
SEM 601Systems Thinking3
Mathematics Coursework (6 hours)
ENM 500Probability & Statistics for Engineers3
Approved Mathematics Elective3
Specified Systems Engineering Electives 1
Systems Engineering Technical Electives 2
Systems Engineering Management Electives 3
Systems Engineering Application Area Electives 4
Dissertation (21 hours)
DE Dissertation

For additional details, see the Doctoral Degree Requirements section on the School of Engineering page and consult with the program director.


Approved coursework from any engineering discipline may fulfill the specified systems engineering elective requirements upon approval of the Dissertation Advisory Committee and Director of Systems Engineering Programs.


Systems Engineering Technical Electives consist of coursework within a broad range of topics related to holistic system development, such as requirements definition, system architecting, design for..., integration, interfaces, verification, validation, transition, operations, support, etc.


Systems Engineering Management Electives consist of coursework relating to systems engineering management competencies, such as project management, decision management, concurrent engineering, enterprise integration, acquisitions, information management, configuration management, and risk management.


Systems Engineering Application Area Electives consist of coursework relating to specific systems, such as civil systems, aerospace systems, mechanical systems, chemical systems, electrical systems, etc.

Master of Science in Engineering Management (ENM)

The program includes a minimum of 30 semester hours consisting of the following:

The program of study in Engineering Management is designed to prepare engineers to be effective leaders and managers. Courses in this program provide students with the educational foundation necessary to plan, design, optimize and direct complex programs, processes, and systems -- and manage the teams that make them work.
Required Courses12 credit hours
ENM 500Probability & Statistics for Engineers3
ENM 530Engineering Economy3
ENM 582Engineering Organizational Development3
Choose one of the following project-based courses 1
ENM 505Management of Engineering Systems3
or ENM 564 Lean Six Sigma for Engineers
or ENM 590 Case Studies in Engineering Management
or SYE 599 Thesis
Engineering Management & Systems Engineering Elective Courses12 credit hours
Twelve (12) credit hours of ENM and/or SYE courses not used to satisfy the requirements above.
General Elective Courses6 credit hours
Six (6) credit hours of graduate-level electives as approved by the advisor or program director. Excludes COP5XX and EXP5XX courses.

Students interested in completing a thesis must have advisor approval and complete six (6) credit hours of SYE 599 and SEM 600 - Thesis by choosing three (3) credit hours of SYE 599 as the 'project-based course,' an additional three (3) credits of SYE 599 and three (3) credit hours of SEM 600 as elective courses.

The supporting classes and electives within the engineering program of study allows concentrations in areas such as six sigma quality, manufacturing, artificial intelligence, reliability engineering, operations research, and systems engineering, and simulation.


Programs of study leading to five graduate-level certificates are also available. 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.

Certificate in Foundations of Engineering Management (FEM)

The foundations of Engineering Management Certificate is comprised of three courses – Engineering Economy, Engineering Organizational Development, and Lean Production Systems. These courses serve as the foundation for financial decision making, managing technical personnel and projects, and problem solving and continuous improvement in production systems.

The certificate is comprised of the following three courses:

ENM 530Engineering Economy3
ENM 540Lean Production Systems3
ENM 582Engineering Organizational Development3

Certificate in Modeling & Simulation (MSN)

The Modeling & Simulation certificate is comprised of three courses which will prepare students to formulate and solve mathematical and simulation models in decision making environments.

SYE 521Introduction to Operations Research3
SYE 572System Simulation3
Choose 1 modeling elective from the following:3
Reliability Engineering I
Data Analytics for Systems Engineers

Certificate in Six Sigma and Operational Excellence (SOE)

Six Sigma is a data-driven approach and methodology for process improvement, and Operational Excellence embraces principles and tools to create an maintain substantial organizational improvements. This graduate level certificate emphasizes essential concepts, practices, and methods for quality improvement, lean management, and effective teamwork. In depth course work in the areas of quality assurance and design & analysis of experiments provide students a rigorous, analytical basis for implementing Lean Six Sigma and Organizational Excellence in practice. 

The certificate is comprised of the following three courses:

ENM 564Lean Six Sigma for Engineers 13
ENM 560Quality Assurance 13
ENM 561Design & Analysis of Experiments 13

ENM 500 - Probability & Statistics for Engineers (or equivalent) is a prerequisite for the courses in the Six Sigma and Operational Excellence certificate.

Certificate in Systems Engineering Management (SEM)

Systems engineering is an interdisciplinary approach to design and manage the life cycle of complex systems. The management of such systems must ensure the integration of all aspects of the system which requires knowledge of project management and the ability to make decisions under uncertainty. In addition, managers require a structured approach for defining customer needs and project functionality, documenting requirements, and then proceeding with design synthesis and system validation while considering the system as a whole.

The certificate is comprised of the following three courses:

ENM 505Management of Engineering Systems3
ENM 534Decision Analysis3
ENM 539Project Management3

Certificate in Systems Architecture and Analytics (SAA)

The Systems Architecture & Analytics certificate is comprised of three courses which serve as the foundation for the design, development, and analysis of complex programs, processes or products.

SYE 550Requirements Engineering and Analysis3
SYE 551Systems Architecture and Model-Based Systems Engineering 3
SYE 571Data Analytics for Systems Engineers3
Total Hours9

Engineering Management & Systm Courses

ENM 500. Probability & Statistics for Engineers. 3 Hours

This is an introductory course in the concepts and applications of probability and statistics. Emphasis is on applications and examples that an engineer or analyst would encounter in practice. Probability is presented as the fundamental tool for modeling uncertainty as well as the logical connection between a population of data and its samples. Descriptive statistics are introduced to describe and characterize data. Inferential statistics provide the means of generalizing to a population from a sample, thus enabling solutions and conclusions that otherwise would not be obtained. Modern software provides the leverage to tackle problems of realistic size and complexity. The concepts and methods covered have direct application to forecasting, queuing, inventory, production, scheduling, equipment replacement, reliability, availability, quality control, experimental design, robust engineering, six sigma, and more. Prerequisitie(s): An undergraduate course sequence in calculus.

ENM 503. Engineering Analysis - Methods & Models. 3 Hours

Mathematical methods and models used in the study and solution of decision problems found in engineering and operations research/management science. The methods and models presented build on the student's mathematical foundation and are motivated by their use in solving real-world problems. This is not a concept-theory course but rather a course designed to enhance the modeling and analysis skills of the student. Prerequisite(s): An undergraduate course sequence in calculus.

ENM 505. Management of Engineering Systems. 3 Hours

This course addresses systems engineering concepts and processes, explaining activities and tools for developing system solutions to meet customer needs. Using the Systems Engineering Body of Knowledge as a foundation, topics such as systems thinking, requirements analysis, testing, and life-cycle sustainment are discussed along with technical management topics such as configuration and interface management, risk management and decision analysis, and systems engineering. The interdisciplinary and cross-functional nature of systems engineering is also emphasized.

ENM 515. Human Factors Engineering. 3 Hours

Treatment of theory, data, and methods that can be applied to improve the interface between humans and the systems and products that they us. Human capabilities and limitations are studied to support the design of systems and products for safe and efficient use by the human operator.

ENM 516. Human Factors Engineering in Aviation. 3 Hours

Human factors engineering applies principles of human-machine interaction to the design of advanced automated systems. Safety is the most important aspect of automated systems that the study of human factors strives to improve. Human factors in aviation principles can be applied to various engineering domains. Human factors in aviation examines the cognitive and physical characteristics of users and the systems in which they work. Aviation-related human factors topics include aircraft cockpit design and maintenance, and procedures to complex activities. Human factors engineering is the major component of systems design and evaluation, accident investigation and prevention, and training.

ENM 517. Legal Aspects of Engineering. 3 Hours

This is an introductory course which provides the engineer with insight into the areas of law that will impact an engineer’s professional practice. Special emphasis is given to the study of intellectual property including patents, trademarks and copyrights. The course covers points to be considered in entering into contracts, legal options for setting up a business, and the engineer’s legal exposure in the design of products, and legal responsibilities as an engineering employee or employer. Students will have the opportunity to participate in a mock trial through interaction with the law school and local judges.

ENM 525. Global Supply Chain Management. 3 Hours

This course educates students on the fundamental roles played by supply chain management in the global economy. Students will understand the management of local and global supply chain functions and their impact on industries, customers, and suppliers. Students will learn to optimize supply chain resources to reduce costs and improve revenue. Students will learn to utilize data and contemporary tools to make informed decisions in a global supply chain environment.

ENM 530. Engineering Economy. 3 Hours

This is an introductory course in the concept of time value of money and financial management for engineering managers. The course includes learning curves, cost estimating, managerial accounting, balance sheet and income statement, financial ratios, investment alternatives, depreciation, inflation, capital budgeting and other related topics.

ENM 534. Decision Analysis. 3 Hours

Introduction to decision analysis with applications. Topics explored include structuring decisions under uncertainty, influence diagrams, decision trees, risk analysis, sensitivity analysis, value of information, utility theory, and practical decision making. Prerequisite(s): ENM 500 or equivalent.

ENM 539. Project Management. 3 Hours

This course addresses the concepts, techniques and procedures used to manage engineering programs and projects using an integrated approach for planning, execution, and control. It includes an introduction to the systems approach to project management; project screening and selection; multiple-criteria methods for evaluation; work breakdown structures (WBS) and organization; configuration selection, management and control; project scheduling; project budgets; and resource management. A key goal is to provide the student with sufficient knowledge and tools to confidently manage a project or contribute effectively as a project team member.

ENM 540. Lean Production Systems. 3 Hours

This course includes the principles and current practices using Lean Manufacturing to integrate humans, machines, and materials in producing a marketable product. The use of lean methods to design, develop, and implement the production system are covered. Topics include just-in-time, kaizen, 5s, inventory and production control, and assembly line balancing. The Toyota Production System (TPS) framework will be used as the basis for problem solving and continuous improvement applications for production systems. Graduate standing.

ENM 541. Production Engineering. 3 Hours

Study of the integration of man, machine, and material in producing a marketable product. The use of engineering techniques to design, develop, and implement the production system are covered. Topics include break-even analysis, learning curve theory, forecasting, resource balancing, inventory and production control, facility layout and location, job sequencing and scheduling, and assembly line balancing. Modern production techniques such as just-in-time (JIT), MRP systems flexible manufacturing, and computer-integrated manufacturing are discussed. Prerequisite(s): MSC 521 or permission of instructor.

ENM 560. Quality Assurance. 3 Hours

Introduction to the fundamental concepts and methods of modern approaches to quality management, quality control, and quality assurance. This course provides an overview of quality management philosophies and implementation strategies. Statistical methods for process control and variety of quality assurance tools are introduced. Prerequisite(s): ENM 500 or equivalent.

ENM 561. Design & Analysis of Experiments. 3 Hours

This course introduces advanced topics in experimental design and analysis, including full and fractional factorial designs, response surface analysis, multiple and partial regression, and correlation. Prerequisite(s): ENM 500 or equivalent.

ENM 563. Advanced Engineering Design. 3 Hours

This graduate-level course seeks to develop in students the ability to integrate dynamic mechanisms (i.e., heat transfer, fluid dynamics, electrical responses, etc.) into system modeling and analyses with uncertainty supporting the verification and validation of systems. Additionally, statistically-based analysis, design, and optimization will be addressed through open-ended problems with explicit considerations of system-level impacts, engineering tradeoffs, and system integration. A course project is required that must demonstrate application of the statistically-based design process. Prerequisite(s): ENM 561 or equivalent; Instructor permission.

ENM 564. Lean Six Sigma for Engineers. 3 Hours

This course will provide a broad exposure to topics in quality improvement that encompass the body of knowledge for Six Sigma Black Belts in both manufacturing and service industries, including hospitals, banks and retailers. Essential concepts, practices, methods and tools for quality improvement, lean management, and effective teamwork are examined, along with the Six Sigma DMAIC problem solving approach. Students will be equipped to help organizations achieve operational excellence by applying what is learned within an improvement project case study. Required background: descriptive statistics, confidence intervals, and hypothesis testing.

ENM 565. Reliability Engineering I. 3 Hours

An introduction to reliability engineering concepts and methodology. The reliability, maintainability, and availability of components and multi-component systems are analyzed. Topics include exponential, Weibull, lognormal and normal failure laws, static reliability, hazard rate functions, state dependent failure rate models, redundancy, censoring, empirical models, curve fitting to failure data, and reliability growth testing. Prerequisite(s): ENM 500 or equivalent.

ENM 576. Simulation Modeling for Engineering Managers. 3 Hours

This course is intended to enhance the student's ability to effectively manage simulation projects and use the results to inform and support organizational problem solving and decision making. Students will learn concepts and methods that underlie each major phase of a simulation project while also learning how to build valid models of basic systems. Simulation software will be used to provide students with hand's on experience in designing, building, analyzing and interpreting the results of basic computer simulation experiments and in communicating those results with stakeholders. Prerequisites: ENM 500.

ENM 582. Engineering Organizational Development. 3 Hours

This course addresses individual, group behavior, and organizational design examined within the structure of technical operations, including the systems engineering environment. The objectives are to provide the participants with an understanding of behavioral science and design principles, their effect on organizational performance, and how one applies this science in the management of technical personnel and projects, especially in the systems engineering environment.

ENM 583. Leadership and Engagement for Engineering Diversity. 3 Hours

This course will provide students with an awareness of the barriers, biases and challenges to diversity in engineering, provide strategies that can be used to improve satisfaction in the engineering workplace and in academia; and provide principles and practices that can enhance the students' leadership skills for the engineering workplace.

ENM 585. Engineering Organizational Systems. 3 Hours

Introduction to organizational theory and practice with emphasis on the design of organizational structures for the effective integration of production, research and development, and engineering activities. Special topics include high performing systems, the technical ad-hoc committee, matrix organization, and project management and other current issues.

ENM 587. Leading in Technical Environments. 3 Hours

Understanding and utilizing the keys to leading in technical organizations represents a distinct advantage to individuals and the institutions they serve. Students will be exposed to the underpinning of leadership in engineering environments including tenets,theories,debates, strategies, and innovative techniques. Opportunities to interact with technical leaders from government and industry will be provided. Practical application skills will be developed.

ENM 590. Case Studies in Engineering Management. 3 Hours

This capstone course emphasizes the completion of an engineering management project or study under the direction of a faculty advisor. A well-written report is required. Prerequisite(s): Completion of the engineering management core courses or equivalent.

ENM 595. Special Problems in Engineering Management. 1-3 Hours

SPECIAL PROBLEMS IN ENGINEERING MANAGEMENT This course covers special assignments in engineering management as arranged and approved by the advisor and the program director.

Management Science Courses

Systems Engineering Courses

SYE 521. Introduction to Operations Research. 3 Hours

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. Required background in probability theory.

SYE 550. Requirements Engineering and Analysis. 3 Hours

This course will provide an understanding of the essential concepts, practices, and applications of Requirements Engineering and Analysis that can be used to elicit and model requirements for systems. The students will be able to apply Requirements Engineering and Analysis techniques and deliverables to elicit requirements for different types of systems, including: product, service, enterprise and system-of-systems. Prerequisites: ENM 505.

SYE 551. Systems Architecture and Model-Based Systems Engineering. 3 Hours

This course will provide an understanding of the essential concepts, practices, and applications of System Architecture, and how Systems Engineering models can be used to design and deploy a system. The students will be able to apply systems architecture and Model-Based Systems Engineering (MBSE) to model the different types of systems, including: product, service, enterprise and system-of-systems. Prerequisites: ENM 505.

SYE 571. Data Analytics for Systems Engineers. 3 Hours

Data analytics help to enhance productivity through the application of quantitative and qualitative techniques to extract and categorize data to identify and analyze data patterns. Data analytics demand an integrated set of skills such as statistics, machine learning, and mathematics. This course will introduce students to some of the tools and basic principles of data analytics. Among the techniques, tools, and concepts that students will be introduced to are data collection, analysis of exploratory data, descriptive modeling, predictive modeling, evaluation, and effective communication of analytical outcomes. Prerequisites: ENM 500.

SYE 572. System Simulation. 3 Hours

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. Emphasis is on modeling real-world systems using modern software. Prerequisites: ENM 500 or equivalent.

SYE 599. Thesis. 1-6 Hours

Thesis in Systems Engineering.