Capability and Mission Engineering Certificate - Curriculum 131 (DL)

Program Officer

Joseph Sweeney, Lecturer

Spanagel 448

(831) 656-2476

Academic Associate

Ray Madachy, Professor

(619) 847-0986

Brief Overview

The Department of Systems Engineering offers a four-course academic certificate in systems capability and mission engineering that enables students to apply systems engineering in defense acquisition and system lifecycle support. Practicing systems engineers require technical and management competence with digital and model-based engineering, statistical operational analysis, requirements and capability engineering, lifecycle cost management, and verification and validation. This program is targeted for mid- and upper-level engineers working in or in support of the Defense Acquisition System but has great benefit for all who seek further knowledge in the theory and practice of systems engineering.


Fall, Winter, Spring, Summer

Program Length

4 Quarters

Entry Requirements

Undergraduate engineering, science or technical degree with a minimum 2.6 grade point average and at least one college calculus sequence (one year of undergraduate courses - two semesters or three quarters).


Successful completion of the System Engineering Fundamentals Certificate (282).


  • Define the digital environment and apply digital modeling tools to the solution of an engineering problem to include an assessment of model accuracy, completeness, trust, and reusability
  • Use modeling languages, concepts, and data attributes to create model artifacts and generate diagrams.
  • Construct a capabilities portfolio for a given set of missions
  • Model the effectiveness and cost of a capability portfolio and analyze and interpret the results of a simulation model for the capability portfolio.
  • Develop life-cycle cost models
  • Apply cost estimating techniques to develop cost estimates incorporating uncertainty.  Quantify and evaluate cost risk.
  • Describe the role of V&V within systems engineering and formulate traceable requirements for testing complex systems using the dendritic approach.
  • Develop test scenarios and identify required test resources.  Apply statistical tools for evaluating specification compliance and designing experiments.

Typical Course of Study

Quarter 1

Course NumberTitleCreditsLecture HoursLab Hours
SE3050Introduction to Digital Engineering with Model-Based Systems Engineering



Quarter 2

Course NumberTitleCreditsLecture HoursLab Hours
SE3011Engineering Economics and Cost Estimation



Quarter 3

Course NumberTitleCreditsLecture HoursLab Hours
SE3250Capability Engineering



Quarter 4

Course NumberTitleCreditsLecture HoursLab Hours
SE4354System Verification and Validation