Teachers College, Columbia University Master's Program in Learning Analytics

• In Event: Graduate Programs in Learning Analytics Workshop: Core Competencies, Curriculum, and Instruction

Abstract

The Masters Program in Learning Analytics prepares students to understand and use emerging quantitative methods, drawn from computer science, statistics, and cognitive science, for handling the vast amounts of data generated by online and digital learning environments.
Students complete 32 credits in coursework in learning analytics and educational data mining methods, tools, and theory over the course of a year of full-time study beginning in the fall semester and concluding in the summer. Part-time study for those working in related fields is also available.
In addition to learning about relevant policy, legal, and ethical issues involved in conducting analytics on educational data, students will be challenged to use learning analytics methods to improve learning opportunities for a range of student populations.
Studying with a faculty of internationally recognized experts, students in the Master of Science in Learning Analytics program work with real-world data collected from online and digital learning environments in the K-12, post-secondary, government, and corporate sectors.
The program includes face-to-face and online components and opportunities for individual instruction and advice. The program has strong industry connections, which can result in internship opportunities and other experiential learning opportunities.
Required Program Core Courses: (minimum of 5 courses for 15 points/credits)
• HUDK 4050: Core Methods in Educational Data Mining
• HUDK 4051: Learning Analytics: Process and Theory
• HUDK 4052: Data, Learning, and Society OR HUDK 4011 Networked and Online Learning
• HUDK 4054: Managing Educational Data OR HUDK 4031 Evaluation: Individuals, Groups, Institutions
• HUDK 5053: Feature Engineering Studio OR HUDK 5324 Research Work Practicum
Additional Courses in Learning (HUDK): (minimum of 3 courses for 9 points/credits)
• Three courses with the HUDK prefix selected in consultation with your advisor.
Courses in Statistics (minimum of 2 courses for 6 points/credits) Also satisfies the College Breadth Requirement
Additional Coursework to Complete the 32 required credits
• Courses selected in areas of interest.
Capstone Project: Students will complete an integrative capstone project intended to synthesize and consolidate their studies in the degree program.

Authors

• Renzhe Yu, Teachers College, Columbia University
  Presenting Author

• Yasemin Gulbahar
  Presenting Author