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
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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
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