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 (LAMP), a skills-based degree designed for working professionals. Learn balanced analytical methods, design strategies, and communication skills in the 7-course program. 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.
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Is this program right for you?
The Learning Analytics Master’s Program is a convenient, fully online education program 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 Master of Science in Educational Psychology: Learning Analytics degree in one of the leading educational psychology departments (as listed in the rankings of the U.S. News & World Report’s edition of best graduate schools).
Upcoming Webinar: December 14, 12pm CST
Interested in using data to make an impact on teaching, learning and policy in the world of education? Join program staff to get more information about the Learning Analytics Master’s Program including curriculum, application process, and potential career paths.
Sign up here.
Questions? Chat with Heather, our Enrollment Coach
As an enrollment coach, my role is to answer your questions about the Learning Analytics Master’s Program and to help you decide if this program is the right fit for you and your career goals. I love listening to your questions, concerns, and stories. I believe every person has value, is unique, and deserves equal access to a high quality education. I am here to answer whatever questions you have about UW–Madison and to welcome you into the Badger family.
Contact me directly: heather.danielson@wisc.edu
Program Overview
Format
Online & Asynchronous
Program Type
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
Enrolled students may not accept graduate assistantships which grant waivers of tuition.
Scholarships
Application Deadline
Admissions close May 1
Offered By
Degree Conferred
Master of Science in Educational Psychology: Learning Analytics
Student Spotlight
Meet Anjali Yadav, Associate Director of District Success at CommonLit, a nonprofit in Washington DC. 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 LAMP within her career.
Click here for the full interview.
A Message From Our Chair
"Between the exciting curriculum emphasizing effective use and interpretation of cutting-edge integrated methodologies, the opportunities to interact with and learn from the world-renowned faculty, and the accessibility and convenience that can only arise from an entirely online program, the Learning Analytics program at UW-Madison provides a truly world-class education, and an educational experience unlike that of any other program available."
James Wollack, Department Chair
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
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)
