This fully online, entry level certificate introduces students to core concepts in statistical inference, educational measurement, AI in education, and ethical and regulatory considerations. It is designed as Certificate 1 in the stackable sequence.
Students who complete this certificate build the foundation needed for more advanced certificates or the 30credit MA in Educational Statistics and AI.
This online certificate emphasizes measurement, assessment, and applied data analysis for educational decision making and is positioned as Certificate 2 in the sequence.
The program focuses on designing and interpreting assessments, working with nested data structures, and translating findings for educational stakeholders.
This certificate deepens students’ expertise with complex modeling techniques used in contemporary educational research and evaluation and functions as Certificate 3.
Learners extend their skills in causal inference, multilevel modeling, and advanced statistical approaches that support rigorous, data driven improvement in education.
This culminating certificate emphasizes hands on application of statistics and AI to real educational problems and is designed as Certificate 4 in the stackable sequence.
Students design, implement, and present an applied research or analytics project, integrating machine learning, visualization, and ethical practice to address a real world educational question.
Credits from these certificates are intended to stack directly into the 30 credit MA in Educational Statistics and AI, consistent with Graduate School and program policies.