CMSP Professional Certifications
The Certified Modeling and Simulation Professional (CMSP) designation is an industry certification established by the National Training and Simulation Association (NTSA) to recognize the knowledge, skills, and expertise of modeling and simulation (M&S) professionals and promote education and experience standards. The CMSP designation includes three levels of competency: Apprentice, Practitioner, and Master.
CMSP Apprentice Level
The CMSP Apprentice level certification identifies individuals who have demonstrated an awareness of basic M&S concepts, methods, and applications. In addition to meeting the education and experience requirements (listed below), CMSP Apprentices possess an entry-level understanding of M&S principles and practices and are committed to expanding their knowledge and understanding of the M&S discipline.
The CMSP Apprentice level certification is designed for individuals who are new to the M&S field. It serves as a foundation for future advancement to the CMSP Practitioner or Master certification levels.
Apprentice Education and Work Experience Requirements
Associate Degree and Five Years of Work Experience
Bachelor’s Degree and Three Years of Work Experience
Master’s Degree and One Year of Work Experience
Doctorate and no Work Experience
M&S Professional Knowledge, Skills, and Abilities at the Apprentice level
- Basic knowledge of M&S principles, methods, practices, and project lifecycles.
- Awareness of M&S applications (training, analysis, experimentation, engineering, acquisition) and categories (live, virtual, constructive).
- Ability to apply knowledge of engineering, mathematics, and scientific principles to M&S tasks and projects.
- Ability to plan and execute M&S activities with project stakeholders under direct supervision of a team lead, supervisor, or manager.
- Awareness of general M&S concepts, such as abstraction, model attributes (e.g., validity and resolution), time representation, and environment (e.g., Live, virtual, and Constructive).
- Awareness of broadly applicable methods, such as continuous simulation, discrete event simulation, Monte Carlo M&S, and Verification, Validation, & Accreditation