Systems Engineering Certificates
You have the option to earn individual certificates on focused topics. The certificates are non-sequential and can be taken at any time throughout the student’s tenure.
Fundamentals of Systems Engineering
This certificate showcases the fundamentals needed for engineering professionals across numerous industries. Through examining collaborative practices like needs assessment, risk analysis, and test planning, students learn how to partner with stakeholders and execute key tasks.
A total of 15 QH to complete this certificate. All courses are 3 QH.
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Required and Elective Courses
Required Courses (9 Credit Hours)
- Systems Engineering Fundamentals (ENSY 4010)
- Project Management in Relation to SYS (ENSY 4090)
- Digital Transformation for Advance Integration (ENSY 4050)
Elective Course (6 Credit Hours)
- Design of Space Systems, Part 1 (ENSY 4021)
- Design of Space Systems, Part 2 (ENSY 4022)
- Practical Model Based Systems Engineering (ENSY 4060)
- Systems Optimization (ENSY 4040)
Systems Design and Architecture
This certificate emphasizes support for proposals after contract awards. It explores the design and architectural aspects of systems engineering through case studies across numerous industries and how to collaborate with others using those aspects.
A total of 15 QH to complete this certificate. All courses are 3 QH.
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Required and Elective Courses
Required Courses (9 Credit Hours)
- Systems Engineering Requirements Development (ENSY 4012)
- Conceptual Design of Systems (ENSY 4016)
- Complex Systems Architecture (ENSY 4014)
Elective Course (6 Credit Hours)
- Practical Model Based Systems Engineering (ENSY 4060)
- Systems Optimization (ENSY 4040)
- Applied Electrical, Mechanical, and Software Systems Design (ENSY 4024)
- Intro to Aerospace Missions (ENSY 4030)
- Practical Validation and Verification Test Planning (ENSY 4112)
Systems Engineering Analytical Methods and Practice
This certificate focuses on practical exposure to the analytical and digital tools necessary within systems engineering, such as applying a working knowledge of probability, statistics and data science. Learn to cleanse complex data sets, visualize patterns in the data and describe characteristics of data sets to extract system performance insights.
Apply machine learning techniques, which are paramount to the digital transformation of advanced systems integration; derive figures of merit required to characterize and to model processes that need improvement, and trace validation and verification test results to system requirements based on statistically relevant quantitative analysis.
A total of 15 QH to complete this certificate. All courses are 3 QH.
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Required and Elective Courses
Required Courses (9 Credit Hours)
- Applied Mathematics for Systems Engineering (ENSY 4180)
- Intro to Probability and Statistics (ENSY 4181)
- Data Analytics for Systems Engineering (ENSY 4182)
Elective Course (6 Credit Hours)
- Practical Validation and Verification Test Planning (ENSY 4112)
- Optimization for Advance Systems(ENSY 4042)
- Applied Machine Learning (ENSY 4200)
- Practical Approaches to Continuous Improvement (ENSY 4170)
