Data, Learning, and Society
The Data, Learning, and Society Master of Science program at Columbia University is a two-year interdisciplinary degree that trains students to harness the power of data to improve learning environments and drive social impact. Combining principles from data science, education, sociology, and public policy, the program equips students with the analytical tools and theoretical knowledge to investigate complex educational and social systems. Students learn to design and evaluate data-driven interventions, interpret behavioral and institutional patterns, and develop ethical approaches to data use in human-centered contexts.
Offered through Columbia’s Teachers College, the program integrates coursework in machine learning, learning analytics, and social research methods with a strong emphasis on educational equity, community engagement, and policy relevance. Students work on applied projects that bridge data modeling with real-world challenges in education, workforce development, and social justice. With New York City as a living laboratory, students gain practical experience through partnerships with schools, nonprofits, and public institutions. This degree prepares graduates to become data-informed leaders who can translate insights into meaningful action across education and society.
Key information
Key Facts
- Program Title: Data, Learning, and Society
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 June 2026
- Location: Columbia University, United States
- Field of Study: Data Analytics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Data and Learning Sciences
- Introduction to Data Science and Statistical Reasoning
- Learning Analytics and Educational Data Mining
- Equity and Ethics in Data-Driven Systems
- Social Theories in Education and Society
- Research Methods in Applied Social Science
Year 2 – Application, Policy, and Innovation
- Machine Learning for Social Impact
- Program Evaluation and Causal Inference
- Seminar: Data Narratives and Visualization
- Capstone Project in Education and Social Systems
Career Opportunities
Graduates of this program pursue impactful careers in education technology, data analytics, public policy, and social innovation sectors. Common roles include learning analyst, data strategist, program evaluator, and education data consultant within nonprofits, government agencies, universities, and mission-driven private firms. Others lead analytics initiatives in school districts, research organizations, or international development agencies, applying insights to improve equity and learning outcomes. The program’s balance of technical rigor and social awareness makes graduates highly valuable in settings where data must be translated into human-centered solutions, especially in education, workforce development, and civic technology.
Why Choose This Program
This program is ideal for individuals who want to blend data science with educational and social progress, working at the intersection of analytics, equity, and community impact. Columbia University’s Data, Learning, and Society MS offers a rare integration of quantitative training and human-centered inquiry, supported by expert faculty and applied learning opportunities. Students explore how data can uncover systemic patterns and inform transformative interventions, gaining the skills to lead ethically and effectively in dynamic environments. With access to New York City’s educational systems, social programs, and civic institutions, students experience direct engagement with real-world data challenges. For those committed to using data to drive meaningful change in society, this program provides both the vision and the capability to lead.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
