Harnessing Data Analytics to Power Educational Outcomes
Looking to make an impact in education using data? Meet the Master of Science in Educational Psychology – Learning Analytics program, a skills-based degree designed for working professionals. Learn balanced analytical methods, design strategies, and communication skills in the 7 or 8-course curriculum. Work with a world-class teaching team to perform and present analyses. Improve educational outcomes in a range of learning environments. Collaborate with students in the cohort and build professional relationships.
“Previously I viewed stats and quant research as this cold, steely, sterile enterprise of dehumanizing people into numbers without knowing and understanding the why of behaviors. This program has caused me to do a 180° on that perspective.”
–Dr. Matthew Boutilier, Class of 2023 and Associate Dean of Online Education at Trinity International University
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Is this program right for you?
The Learning Analytics program is a convenient, fully online graduate degree offered through the Department of Educational Psychology in the School of Education at the University of Wisconsin-Madison. In just two years, working professionals can complete this Learning Analytics program in one of the nation’s leading educational psychology departments (as listed in the rankings of the U.S. News & World Report’s edition of best graduate schools).
Drop-In Office Hours
Program director Julia Rutledge hosts weekly office hours for prospective students. Feel free to stop by get questions answered about:
Curriculum design * Online modality * Instructional team * Time commitment * Job prospects… and more!
Program Overview
Format
Online & Asynchronous
Program Type
Professional master’s degree
Commitment
24 contiguous months with cohorts beginning in summer
Credits
30 graduate credits
Prerequisite Courses
None
Tuition
$1,000 per credit for residents & non-residents
Other Costs
None. This is a Z-degree (zero-textbook cost).
Graduate Assistantships
Students may accept graduate assistantships at UW-Madison; however, they are not eligible to receive the tuition remission.
Scholarships
Application Deadline
Admissions close May 1
Offered By
Degree Conferred
Master of Science in Educational Psychology
Have more questions?
Curriculum & Course Information
Student Spotlight: Then and Now
When Anjali Yadav joined the Learning Analytics program in 2021, she was the Associate Director of District Success at CommonLit, a nonprofit in Washington DC. In this 2021 interview, Anjali shares her insight into why she selected the program, how the online modality fits within her schedule, and her goals for implementing the skills she learns in the program within her career.
Now, Anjali has pivoted within CommonLit to join the data science team as a Junior Data Scientist. Upon graduating from the Learning Analytics program in 2023, she accepted a fellowship with the Harvard Strategic Data Project where she will work to understand how CommonLit products can better support teacher decision-making in the classroom. Read more about the fellowship and her experience in the Learning Analytics program in this 2023 interview.
Leader in Inclusion and Equity
The School of Education is a diverse and inclusive campus leader of academic programs that focus on equitable solutions and innovative research through the Office of Equity, Diversity, and Inclusion.
VISIT THE OFFICE OF EQUITY, DIVERSITY, AND INCLUSION
Questions? Chat with Marta, our Enrollment Coach
As an enrollment coach, I can help answer your questions about the Learning Analytics program and help you decide if it is the right fit for you and your career goals. Prospective students often ask me about:
- Eligibility: Am I qualified?
- Workload: What’s the typical weekly time commitment?
- Collaboration: How will I interact with the teaching team and other students?
- Application advice: Who should I ask for a reference? How can I improve my resume?
I am here to help you navigate this decision process and welcome you into the Badger family.
Let connect!
Email me: marta.mccoy@wisc.edu
The Power & Promise of Learning Analytics
“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 (S0LAR)
“Whether educational data is taken from students’ use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties of the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data.”
– The International Educational Data Mining Society (IEDMS)
