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MS Learning Analytics at Columbia University

Columbia University, United States

Programme overview

A 32-point M.S. that trains students in learning analytics and educational data mining methods and their application to real-world learning problems, including policy, legal and ethical issues in analysing educational data. Study is full-time or part-time on campus.

Faculty: Teachers College  |  Department: Human Development (Learning Analytics)  |  Intake: Fall 2027; priority 15 January 2027, final 1 April 2027  |  Study mode: full-time / part-time  |  Location: New York, NY, United States

What you will study

Learning analytics and educational data mining methods, policy, legal and ethical issues, and a Learning Analytics Practicum.

Career pathways

Education technology companies and startups, educational evaluation, education think tanks, and data groups in city, state and federal departments of education.

Official programme page

Application information

Entry requirements

Online application with statement of purpose and resume; transcripts or course-by-course evaluations; two letters of recommendation; $75 application fee. International applicants whose native language is not English submit TOEFL iBT (minimum 100 if taken before 21 January 2026, 5.0 on the new scale if taken on or after that date), IELTS 7.0 or Duolingo 130, unless exempt (for example by a graduate degree taught in English).

Intake: Fall 2027; priority 15 January 2027, final 1 April 2027

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

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