Digital Engineering with AI

Building Smarter Systems with Digital Engineering and AI

In today’s rapidly evolving technology landscape, Digital Engineering has emerged as a transformative extension of systems engineering, enabling smarter, faster, and more integrated approaches to complex system and software development. This course, Digital Engineering with AI, is designed to equip engineers, analysts, and technical managers with the skills to harness digital technologies and generative AI to drive innovation and improve engineering outcomes.

Building upon foundational knowledge in SysML and Model-Based Systems Engineering (MBSE), this advanced course bridges the gap between traditional engineering methods and cutting-edge Digital Engineering practices. Learners will explore the core principles of the Digital Thread, discover how data and models connect across the system life cycle, and understand how AI-enhanced tools are reshaping engineering design, verification, and validation.

By integrating Generative AI into the Digital Engineering pipeline, students will gain insight into how emerging technologies are revolutionizing system modeling, requirements generation, decision-making, and continuous improvement. Practical modules will focus on aligning MBSE, the Digital Thread, and AI, providing actionable skills for the future of digitized system and software development.

Whether you're a systems engineer, software architect, program manager, or technical leader, this course will empower you to lead in an era where Digital Transformation and AI are defining the next frontier of engineering excellence.

Course Highlights:

• Digital Engineering
• Systems Engineering
• MBSE
• Generative AI
• Agile

Course Learning Outcomes: 

• Create consistent and accurate MBSE models through exercises and homework assigned after each modeling module
• Create an innovative system model characterized using MBSE through a comprehensive project.
• Execute a model that will facilitate the creation of a digital thread that can provide information into the overall system development life cycle in the group project.
• Socialize the importance of digital engineering to colleagues within their specific domain in the form of papers.
• Conceptualize how generative AI will be able to support the future of digital engineering in the final project presentation.

Software: t/b/d

Course Typically Offered: Online in Fall and Spring quarters

Prerequisite: CSE-40981 Systems Engineering with OMG SysML or equivalent knowledge and experience. 

Next Step: After completing this course, consider taking other courses in our Systems Engineering certificate program. 

Contact: For more information about this course, please email unexengr@ucsd.edu.