2021-2022 Academic Catalog

Systems Engineering

Sandra Furterer, Chairperson, Department of Engineering Management, Systems, & Technology
Dr. Philip Appiah-Kubi, Graduate Program Director, Department of Engineering Management, Systems, and Technology

Master of Science in Systems Engineering (SYE)

The program of study leading to the Master of Science in systems engineering provides students with a broad interdisciplinary approach to problem solving and decision making within organizations. The systems engineer designs, integrates, and manages complex systems over their lifecycles. Systems engineering ensures all likely aspects of a project or system are considered and integrated into a whole. 

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

Required Courses15 credit hours
ENM 500Probability & Statistics for Engineers3
ENM 505Management of Engineering Systems3
ENM 539Project Management3
MSC 550Requirements Engineering and Analysis3
MSC 551Systems Architecture and Model-Based Systems Engineering 3
Management Science & Engineering Management Elective Courses 19 credit hours
Nine (9) credit hours of MSC and/or ENM courses not used to satisfy the requirements above and approved by the advisor or program director in alignment with the student's professional objectives
General Elective Courses6 credit hours
Six (6) credit hours of graduate-level electives as approved by the advisor or program director in alignment with the student's program objectives.


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.

MSC 521Introduction to Operations Research3
MSC 572System Simulation3
or ENM 576 Simulation Modeling for Engineering Managers
Choose 1 modeling elective from the following:3
Reliability Engineering I
Nonlinear Optimization
Productn Engineerng
Inventory Theory & Application
Forecasting & Time Series Analysis
System Dynamics I
Data Analytics for Systems Engineers
Current Problems
Total Hours9

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

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.

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


MSC 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: probability theory.

MSC 523. Nonlinear Optimization. 3 Hours

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 535. Applied Operations Research/Management Science. 3 Hours

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 544. Forecasting & Time Series Analysis. 3 Hours

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 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.

MSC 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.

MSC 555. System Dynamics I. 3 Hours

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 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.

MSC 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. Prerequisite(s): ENM 500 or equivalent.

MSC 595. Current Problems. 1-3 Hours

Topics of current interest in specialized areas of Management Science.

MSC 599. Thesis. 1-6 Hours

Thesis in Management Science.