Columbia University campus

Engineering

MS Data, Learning, and Society (Online) at Columbia University

Columbia University, United States

Programme overview

The M.S. in Data, Learning, and Society is an online data analytics programme focused on education and learning, offered full-time or part-time. It builds statistical and data science fundamentals, an understanding of learning in its various forms, and awareness of the possibilities and problems of learning data.

Faculty: Teachers College  |  Department: Human Development (Data, Learning, and Society)  |  Duration: 32 credits  |  Intake: Fall  |  Study mode: online  |  Location: New York, NY, United States

What you will study

Courses include Probability and Statistical Inference, Introduction to Measurement, Intro to Data Analysis in R, Human Cognition and Learning, and Data, Testing, and Meritocracy, plus electives such as Managing Educational Data and Networked and Online Learning.

Career pathways

Higher education, boards and departments of education, K-12 institutions, government agencies and human resources, in educational, business and nonprofit contexts.

Official programme page

Application information

Entry requirements

Online application with statement of purpose and resume; transcripts or course-by-course evaluations for all undergraduate and graduate coursework; English proficiency exam results where applicable; $75 application fee; two letters of recommendation. Fall deadlines: priority January 15, 2027, final April 1, 2027.

Intake: Fall

Duration: 32 credits

Apply through the official page: https://www.tc.columbia.edu/admissions/

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