Learning Analytics Online Courses

Overview

30 credits: 7-8 courses over 24 months
100% online
Asynchronous materials
Cohort model
Collaborative small group work
No exams or thesis required

Click each course below to learn about topics, assignments, schedule, and more

Take a Test Drive

Get to know our learning management system Canvas and explore sample modules from the first course in the program, EP501: Thinking & Learning

Year 1 Classes

EP 501 – Summer 2024

Introduces the theoretical foundations of learning, knowing, and teaching. Students engage in personal and professional reflection, discussion, individual enactive exercises and collaborative group work.

3 or 4 credits

EP 505 – Summer 2024

Recommended for students without strong or recent statistical experience. Provides basic concepts via annotated collaborative readings and practice exercises. Introduces students to working with statistical software R.

Optional 1 credit (when EP 501 is taken for 3 credits)

EP 560 – Fall 2024

Students work on 2 projects: 1) a quantitative paper involving a prescribed data set and linear regression using R, and 2) a qualitative paper in which they seek their own data. Students check in with a small group weekly.

6 credits

EP 525 – Spring 2025

A broad foray into a variety of educational data mining practices. Students use RapidMiner software to explore different methods in pairs, and engage in 3 case studies throughout the semester.

5 credits

Year 2 Classes

EP 551 – Summer 2025

Materials include podcast interviews with practitioners using QE. Quantitative methods are used to analyze qualitative data, and students work in groups using Epistemic Network Analysis (ENA) to find connections within their choice of data.

4 credits

Instructional Design for Learning Analytics image

EP 575 – Fall 2025

Students engage in a structured design process to create an online learning environment with embedded mechanisms for gathering learning outcomes data. Guided critique of a variety of LA tools and dashboards.

3 credits concurrently with EP615

EP 615 – Fall 2025

Students choose an analysis from a prior course and present their findings in a variety of modalities (verbal, visual, written, etc.) to 3 key stakeholder audiences. Critique of data visualizations and work with Tableau.

3 credits concurrently with EP575

EP 695 – Spring 2026

Authentic consulting project where students teams partner with an external organization to conduct a needs assessment, analyses, and present findings and recommendations. Each team is paired with a Board of Directors and an Alumni Amigo for individualized support.

5 credits

I've designed online courses before, and I am inspired by these courses!
Yichen Lee

All courses are extremely accessible in terms of the layout, the modality, and the Canvas LMS. I never felt like I was left in the dust; there was a lot of support.
Kaycie Barron

I was worried I’d keep to myself and do everything on my own, but instead it’s been a great balance to work with - and lean on - everyone, all while working at my own pace and within my own schedule. My work-school-life balance feels really healthy and I think that’s because of the structure of the program.
Karissa Ebert

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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!

Join via Zoom on Tuesdays, any time between 12:30-1:30CST

Questions? Chat with Marta, our Enrollment Coach

As an enrollment coach, I can help answer your questions about the Learning Analytics program and to 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?

A photo of Marta McCoy. A women with glasses and brown eyes.

I am here to help you navigate this decision process and welcome you into the Badger family.

So let’s connect!

Email me: marta.mccoy@wisc.edu

Schedule a meeting with me via Calendly