• 100% ONLINE

  • 2-years

  • Part-time

This market-based program is designed to prepare students for a variety of roles within the learning analytics field. Built for working professionals, coursework includes opportunities for students to work with their own data sets, as applicable.

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Students enrolled in the program will take between 3 and 6 online credits per term and begin in summer, completing the program in 24 contiguous months. Students will progress through the program with their cohort. While there are no required synchronous meetings, there will be optional opportunities to collaborate with classmates and instructors in real time. Group work is encouraged and a variety of virtual platforms are available to UW-Madison students to help facilitate their online interaction (scroll down and expand for course descriptions). Coursework materials and activities include:

  • video lectures
  • readings
  • written discussion posts and reflections
  • activities and exercises
  • peer evaluation workshops, and
  • individual and group projects.

Schedule of Courses

Summer 1 3 EP 501: Thinking and Learning
Fall 1 6 EP 560: Foundations of Quantitative and Qualitative Research Methods
Spring 1 6 EP 525: Learning Analytics Theory and Practice
Summer 2 3 EP 551: Quantitative Ethnography
Fall 2 6 EP 575: Instructional Design for Learning Analytics (3cr) & EP 615: Conversations and Visualizations (3cr)
Spring 2 6 EP 695: Capstone


Course Descriptions

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SUMMER 1: Thinking and Learning

EDPSYCH 501, 3 credits

Designed to explore the psychological principles that are relevant to learning, knowing, and teaching. Focuses on ideas, questions, and contextual applications. Reflect on personal approaches to learning, knowing, and teaching, and think about past, present, and future experiences through a variety of different lenses.

FALL 1: Foundations of Quantitative and Qualitative Research Methods

EDPSYCH 560, 6 credits

Presents introductory research procedures in the social sciences, including the exploration of theoretical foundations and practical use of basic tools and programs needed for quantitative and qualitative data analysis. Examines how different methodologies can complement or compete with the other, and overall the course will showcase how pertinent quantitative and qualitative methods are applied in the field of learning analytics with particular emphasis on data about – and therefore issues in – learning environments such as classrooms, online courses, apprenticeships and internships, museum exhibits, after school programs, and other formal and informal educational contexts.

SPRING 1: Learning Analytics Theory and Practice

EDPSYCH 525, 6 credits

Application of data mining techniques to large educational datasets to gain important insights into how people learn. Examines the spectrum of prevalent learning analytics methods and applications, from institutional effectiveness, to classroom-level interventions, to standardized assessments, and beyond.

SUMMER 2: Quantitative Ethnography

EDPSYCH 551, 3 credits

Explores the theoretical foundations and practical use of quantitative ethnography, focusing on new insights in the field of cognitive modeling and automated coding and their use in applied fields such as anthropology, education, market research, product development, assessment, and training.

FALL 2: Instructional Design for Learning Analytics

EDPSYCH 575, 3 credits

Explores the theoretical foundations and practical use of learning analytics for instructional design. Prepares students for professional practice with hands-on experience designing learning environments modeled to predict success and retention. Focuses on understanding the ways in which learning analytics can be used to develop experiences and environments that support strategic learning outcomes.

FALL 2: Conversations and Visualizations

EDPSYCH 625, 3 credits

Introduction to communication methods using learning analytics data. Presentation modes include verbal conversations and visual representations. Addresses questions including: What data is consumable? How can we make this data meaningful for a client? Etc. Practice with stakeholder reports and presentations allows engagement in meaningful and effective communication strategies to enhance understanding of learning analytics data.

SPRING 2: Capstone in Learning Analytics

EDPSYCH 675, 6 credits

Introduces guest speakers who specialize in applying learning analytics in a variety of professional environments and to a variety of time-sensitive topics (spanning between the student-level within a classroom, institutional effectiveness at a university, educational technology development, national standardized assessments, and beyond). Engage in a comprehensive consulting project that pairs student teams with a learning organization of their choice to design and produce a consulting report to be presented to key stakeholders. Builds on knowledge and skills learned in prior courses and requires application of program concepts in authentic contexts.

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Questions? Chat with Pat, our Enrollment Coach

Pat Walsh, Enrollment Coach

I work with prospective students considering the Master’s in Learning Analytics program. Most people, no matter what program interests them, share many of the same concerns. My favorite part of my work is hearing about a prospective student’s dream of getting the promotion, changing careers, or advancing their expertise. I am here to answer whatever questions you have about UW–Madison and to welcome you into the Badger family.

Contact me directly: or 608/327-9789