Learning Analytics Overview

Concentration Description

The Master’s degree in Learning Analytics positions its graduates to make effective decisions based on highly relevant “big data” that ultimately improve the learning environment. Program participants will have an opportunity to gain the understandings and capabilities needed to harness the power of educational data and help re-shape the future of education at all levels.

Curriculum and Distinctiveness

• Learn key analytics concepts and theories and relate them to education
• Articulate and integrate learning analytics assumptions, theories, epistemologies, and debates
• Align learning analytics processes to address the needs of educational institutions and answer questions posed by educational leaders
• Implement educational data mining and predictive analytics techniques to improve educational outcomes for students and institutions
• Effectively select, prepare, implement, interpret, and evaluate learning analytic models
• Communicate data trends via data informative visualizations and dashboards to meet the needs of users throughout the educational system
• Engage in project planning, communication, delivery, and reporting
• Anticipate and contribute to the future direction of learning analytics