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Model Based Systems Engineering (MBSE)

model-based-systems-engineering-(mbse)-engr-803.03
ENGR 803.03

This course introduces Model-Based Systems Engineering (MBSE), covering digital engineering principles, core tenets, and implementation strategies. It explores MBSE tools, languages, SysML, and practical applications for developing a tailored MBSE methodology.

Duration
As few as 3 weeks
Current Formats
Live Online
Cost
Starting at $1,850.00

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What you can learn.

Determine the benefits of MBE in complex system design, challenges, and opportunities
Evaluate MBSE in the System Development Lifecycle (SDLC)
Understand MBSE tools, language, and methodology
Identify SysML – diagrams, objects, and relationships
Deep-dive into a tailored version of the INCOSE OOSEM

About This Course

Model-Based Systems Engineering (MBSE) is taking major traction in systems engineering to improve and facilitate development and delivery of products. MBSE domain models as the primary means of exchange of requirements, information and feedback, as opposed to the traditional document-centric systems engineering. This course starts with an introduction to digital engineering and MBSE.  You will learn to identify the core tenets of MBSE and how to implement a model-based systems engineering approach. We will look at the set of models as the system’s data repository, how to query features and capabilities, exchange information, analyze models, and verify requirements. We will cover MBSE tools such as MSOSA, Rhapsody, etc.  In this course you will also learn about MBSE languages and frameworks. We will do a deep dive into SysML with case studies and examples. The course concludes with the building of a robust MBSE methodology tailored to project needs and MBSE practical applications.

Spring 2026 Schedule

Date
Details
Format
 
-
Tuesday, Thursday 4:00PM - 7:00PM PT
REG#
408190
Fee:
$1,850.00
Live Onlineformat icon
Remote Classroom
Updating...
Notes

UCLA Contact:
Gina Springer
310-206-1846
gspringer@unex.ucla.edu

Deadline
No refunds after May 26, 2026
Schedule
Type
Date
Time
Location
Lecture
Tue May 19, 2026
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu May 21, 2026
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Tue May 26, 2026
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu May 28, 2026
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Tue Jun 2, 2026
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu Jun 4, 2026
4:00PM PT - 7:00PM PT
Remote Classroom