Learning Analytics, Graduate Certificate

Educators today are “swimming” in data about curricula, student assessment, social media, registrations, and demographics stored in data warehouses and "the cloud." This data makes it possible to collect, manage, and maintain massive amounts of educational information. The need to analyze and make data-based decisions in education has led to the emergence of a new field called learning analytics.

Through a set of focused courses, our curriculum will give you the opportunity to:

  • Articulate and integrate diverse perspectives in the field of learning analytics, including learning analytics assumptions, theories, epistemologies, and debates
  • Align learning analytics processes to address the needs of educational institutions and answer questions posed by educational leaders
  • Select, prepare, implement, interpret, and evaluate learning analytic models appropriately

And should you choose, you can apply the credits you earn toward your certificate directly to our Master of Education concentration in learning analytics

Complete all courses and requirements listed below unless otherwise indicated.

Required Courses

EDU 6340Learning Analytics Concepts and Theories4
EDU 6341Introduction to Data Mining in Education4
EDU 6182Educational Statistics4
EDU 6343Predictive Modeling for Learning Analytics4

Program Credit/GPA Requirements

16 total quarter hours required
Minimum 3.000 GPA required