With the rise of “big data,” knowing how to effectively and ethically use educational data to inform research and practice is crucial. The Learning Analytics Graduate Certificate will allow you to effectively incorporate analytics into educational practice and research while gaining an understanding of the fundamentals of learning analytics.
This program offers both hybrid and in-person components for flexible and interactive learning experiences.
“Learning Analytics provides researchers with exciting new tools to study teaching and learning. Moreover, as data infrastructures improve — from data capture and analysis, to visualization and recommendation — we can close the feedback loop to learners, offering more timely, precise, actionable feedback. In addition, educators, instructional designers and institutional leaders gain new insights once the learning process is persistent and visible.”— Society for Learning Analytics Research (SoLAR)
Currently enrolled students: If you are enrolled in another program at the University, you need to apply to earn this certificate. Note: Transfer credits may not be applied to this certificate program.
Application priority deadlines:
For detailed admission information and tuition information on the certificate program, visit our graduate certificate admissions page.
You can also contact the faculty adviser for the program, Angel Pazurek.
Through this program, you will gain knowledge and skills in learning analytics by:
Complete 12 credits (each course is 3 credits):
See the detailed course curriculum for the Learning Analytics certificate in the graduate catalog.
You can take this certicate at your own pace. Most students complete the four classes in one to two years depending on individual schedules and course offerings.
I love exploring how big data can inform pedagogical decisions and technology innovations. The program really fits my interests and provides opportunities to learn about the underlying theories and methods/techniques in learning analytics and to get my hands dirty through various activities and projects. This program also trained me to think as a learning analyst in both research and technology innovation practices.
Xinran Zhu
doctoral student in Learning Technologies