Governance and Policy for AI and Data Technology
This certificate provides applied training in the institutions and processes related to policymaking and governance of artificial intelligence (AI), data, and data technology, in public and private sectors. Students become equipped to understand policies and processes in U.S. and non-U.S. settings, how and why policies are proposed and passed, and how they are implemented and monitored for complianced. Students will learn how to conduct impact assessments and develop compliance audit plans.
Courses will be held online and hybrid.
12 Credits Required
Required Courses (9 credits)
Selective (3 credits)
Choose one.
- GRAD 50600 - Big Data Tools And Technologies Credits: 3.00
- GRAD 50700 - Cross Domain Data Communication And Visualization Credits: 3.00
- POL 50100 - Political Science: Methodology / Revised to POL60100 January 2026 Credits: 3.00
- POL 50601 - Data, Machine Learning, And Artificial Intelligence For The Public Sector Credits: 3.00
- POL 52000 - Special Topics In Public Policy Credits: 3.00 (when the course title/topic relates to Artificial Intelligence, Applications of Data Science, Emerging Technology, etc.)
- POL 52901 - Applied Policy And Program Evaluation Credits: 3.00
- SCLA 51000 - Data And AI Storytelling Credits: 3.00
- SCLA 52100 - Societal Impacts Of Artificial Intelligence Credits: 3.00
- SCLA 52200 - Artificial Intelligence Policy, Governance, And Ethics Credits: 3.00
Students will:
Describe the policy ecosystem around new technology, data, and AI policy, including how and why policies are proposed, passed, implemented, evaluated, and changed.
Analyze trends in current policies, definitions of policy problems, and proposed policy solutions, including an assessment of policy needs, stakeholder goals, and public attitudes towards policy problems and proposed solutions for new technology, data, and AI.
Assess and evaluate legal and ethical considerations in AI, data, and other new technologies, and consider roles of different entities in mitigating risks.
Construct professional-level work products such as policy trends reports, compliance audit plans, impact analyses, policy design, or program evaluations related to the use of AI, data, or other emerging technology in public and private settings.
** Application coming soon **