Responsible Artificial Intelligence (Graduate Certificate)
Program Summary
100% Online
Credits: 14 total
Degree:
College/School: College of Engineering and Computing
Start Date: 1/20/2026
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Program Description
The graduate certificate in Responsible AI provides students with the fundamentals of artificial intelligence (AI), how AI systems are architected, the principles of systems engineering as they relate to AI systems, theories of AI safety and risk, how to test and evaluate such systems to meet risk thresholds, and how to identify ethical, legal and regulatory issues that arise in such systems. Students will be prepared to develop and manage complex systems with embedded AI, including identifying unique requirements for systems with embedded AI, testing and certifying these systems, and defining and maintaining safe levels of performance for deployed AI. Graduates will also be able to develop acquisition plans for complex systems with embedded AI and develop AI maintenance programs including auditing. Areas of application include safety-critical physical systems like self-driving cars, air taxis and health applications, as well as software-based systems like financial and banking systems, and those that support education and research.
Banner Code: EC-CERG-RSAI
Careers
This certificate is ideal for engineers, technologists, and policy professionals seeking to integrate AI responsibly into complex systems while addressing ethical, legal, and safety challenges.
As a Mason student, please contact University Career Services for more career information and counseling.
Courses
Program requirements are subject to change; please refer to the George Mason Course Catalog for the most up-to-date requirements.
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Details
Who should apply?
The Graduate Certificate in Responsible Artificial Intelligence is designed for professionals and graduate students who are involved in the design, development, deployment, oversight, or regulation of AI‑enabled systems, particularly in environments where safety, reliability, accountability, and trust are critical.
This program is ideal for individuals who want to move beyond building AI models to understanding how AI behaves in real‑world systems and how to ensure those systems perform safely, ethically, and within regulatory constraints.
Financial Aid
For information on loans, scholarships, and other types of financial aid, visit the Office of Student Financial Aid.
Why choose George Mason?
- Offered in collaboration with Mason’s College of Engineering & Computing (CEC).
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A National Leader at the Intersection of AI, Policy, and Systems
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Proximity to Government, Industry, and Real‑World Impact
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Faculty with Real‑World Expertise
Ready to Apply?
Application Requirements
- Applying to graduate programs at George Mason Engineering and Computing is a multi-step process. All applications are processed through central admissions.
- In addition to general admission requirements (https://www.gmu.edu/ admissions-aid/apply) of the university, applicants must have earned a GPA of 3.00 or better on a 4.0 scale in the last 60 credits of their baccalaureate degree.
- Other application requirements are as follows:
- College transcripts
- A one-page statement of educational and career goals
- Current resume
- Internationally-educated students must submit their English Proficiency scores (https://www.gmu.edu/international/englishlanguage-requirements/)
Contact
Program contact:
Email: [email protected]
Phone: 703-993-5383
Program website
Department/College contact/website
