Overview
The Data, Learning, and Society programme from Columbia University is focused on educational data and environments, this data analytics graduate degree prepares you to analyze data for schools, educational departments, higher education institutions, businesses, and many other related contexts.
Whether you’re looking to start a career as a learning analyst or have an established career in education, our programme empowers you to use data for good.
Key facts
- Whether it’s helping organizations grow, improving access to education, or solving social problems, data analysts are key drivers of change. In education, analysts use data to improve learning outcomes, enhance educational strategies, help institutions make informed decisions, and reduce disparities.
- If you’re interested in using data to make positive change in education or similar fields, consider the Master of Science in Data, Learning, and Society at Teachers College.
Highlights
- At Teachers College, you’ll prepare to apply learning data to a wide range of educational contexts, including K-12 schools, higher education, and workplace learning — all in a flexible, online format at an institution recognized for excellence in education.
- You’ll gain exposure to a wide variety of traditional and emerging analytic techniques, building a solid grounding in the tools you need to become an effective, socially just, and ethical data analyst.
Outcomes
- It prepares you to apply data analytics in education and related fields. You’ll learn how to achieve desired goals in educational, business, and nonprofit contexts, whether that includes improving learning outcomes, equal opportunity employment, or workforce development.
- As a graduate of the Data, Learning, and Society, you can go on to work in many contexts, including higher education, boards and departments of education, K-12 institutions, government agencies, human resources, test-taking organizations, and learning startups.
Programme Structure
Courses include:
- Probability and Statistical Inference
- Human Cognition and Learning
- Data, Testing, and Meritocracy
- Managing Educational Data
- The Psychology of E-Learning in Business and Industry
- Networked and Online Learning
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Manhattan, United States
Disciplines
Data Analytics View 210 other Masters in Data Analytics in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Online Degree Application, including Statement of Purpose and Resume
- Transcripts and/or Course-by-Course Evaluations for all Undergraduate/Graduate Coursework Completed
- Results from an accepted English Proficiency Exam (if applicable)
- $75 Application Fee
- Two (2) Letters of Recommendation
Tuition Fees
-
International Applies to you
Applies to youNon-residents38358 USD / year≈ 38358 USD / year - Out-of-State38358 USD / year≈ 38358 USD / year
-
Domestic
Applies to youIn-State38358 USD / year≈ 38358 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data, Learning, and Society.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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