Available entirely online!
Fulfill the needs articulated by companies and federal agencies to upskill in digital modeling practices, processes and products. This four-course certificate program will help you build the expertise to apply model-based systems engineering in the acquisition, design and analysis of a system of interest. Each course will provide the skills to simulate aspects of the system and verify specified requirements. Models of the system's behavior across its lifecycle will be addressed, and their role in creating a digital thread and authoritative source of truth will be studied. Developed with input from industry leaders and piloted with civilian and military engineers at Hanscom Air Force Base, the Graduate Certificate in Digital Engineering is available entirely online.
- 4 Courses / 12 Credits
This course will begin with an overview of the digital transformation and digital engineering strategy being undertaken by Department of Defense divisions and programs. With a practical understanding of the concepts of systems, systems thinking and systems engineering, model-based-system engineering (MBSE) is studied. Students are led through interactive modeling exercises using the Systems Modeling Language (SySML) on the Cameo platform form Dassault Systemés. Examples of physics-based models, feedback control systems and uncertainty modeling are presented and integrated with SysML representations. Dynamic systems are analyzed with simulations carried out using the MATLAB/Simulink platform. The course emphasizes skills in project-based-learning, teamwork and effective communication between all participants in the course.
Undergraduate Degree in Engineering, Science or Business with Calculus Knowledge, or Matriculation into a Graduate Program in the Francis College of Engineering. Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.
This course provides experiential learning in implementing Model-Based Systems Engineering (MBSE) from an applications perspective. Principles of systems thinking and practices in design of engineered systems are discussed. The mapping of systems engineering stages to a model-based graphical representation in undertaken with the systems modeling (SysML) language and supporting programming platforms. Model-based representation of stakeholder requirement, use-cases and scenarios, system and interface architecture will be learnt through case studies drawn from mission operations. MBSE practitioners will present their best practices for integrating respective models for verification, validation, traceability and presentation to teams with differing backgrounds and expertise.
EECE.5492 Systems, Modeling and Simulation for Digital Eng.
Physical systems and their interactions with embedded digital sub-systems and communication networks are analyzed by representing them in the context of cyber-physical systems (CPS). Related concepts of system control, hybrid dynamical systems and state estimation are presented. The application of the CPS model as a digital twin and approaches for representing the model across it's lifecycle are explored. The specification of functional, behavioral and security requirements for CPS using a model-based systems engineering framework is undertaken. The performance verification with multiphysics models and simulation experiments are conducted. Particular focus will be on the verifying correctness of algorithms that control the CPS and challenges in bridging continuous and discrete event based systems that comprise a CPS.
This course addresses the application of data recorded from models, simulation or measurements for prediction, inference of estimation of system behavior. Students are introduced to AI/machine learning algorithms, data visualization and data analytics. The focus will be on the analysis of decisions driven by data and models using concepts of decision trees, multi-objective models and game theory. Methods for estimating costs and managing risks across the lifecycle of the system will be discussed. Case studies will be drawn from the government and industry that highlight mission statements with proposed strategy, tactics and operations. Optimization methods that address these directives with associated uncertainty parameters will be explored in team-based projects.
Students enrolled in graduate certificate programs through UMass Lowell must complete all courses indicated in the curriculum outline. Students may complete the certificate program at their own pace by registering for and successfully completing one or more courses each semester, depending upon his/her personal time constraints. Students are required to maintain a minimum grade point average of 3.000 with no more than one course grade below B to receive the certificate.
Online courses meet throughout the year during the Fall, Spring and Summer semesters (see Calendar for details). Online students generally log into their online course website one or more times per week to retrieve lectures and assignments or to participate in a chat session. Online students should expect to spend 6 to 10 hours per week engaged in course-related activities for each course. For more information on online courses, visit our online program home page .
Graduate certificate courses must be completed within a five-year period with a minimum 3.000 grade point average and no more than one course with a grade below B. Once all courses for a graduate certificate have been completed, students must complete and submit the Graduate Certificate Clearance Form. Students must submit their clearance form to their coordinator. The coordinator will apply them in SIS, Graduation Tracking.
Tuition at UMass Lowell is typically half the cost of private colleges, and our online tuition is among the lowest in the nation. Tuition for online programs offered through the Division of Graduate, Online & Professional Studies is the same whether you live in-state, out-of-state or outside of the U.S.
Please note: Tuition and fees are subject to change.
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You can apply anytime. There are no deadlines. Applications are accepted throughout the year.
F1 student visas are not issued for this program.
You may apply to more than one certificate program but can only take 12 credits maximum before enrolling in an advanced degree.
Certificates must be completed within 5 years.
Official transcripts can be sent to us directly from your previous institution either electronically or mailed to:
We cannot accept previously opened transcripts, photocopies, PDF email attachments or faxed transcripts.
Please check your application status emails. Still have questions? Contact Graduate Admissions at Graduate_Admissions@uml.edu or 800-656-4723. International students: Please call 978-934-2390.
For general questions about registering for courses or to find out who the advisor is for your graduate program, call 800-480-3190. Our admissions and advising teams are here to help!