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Education Data Science (MS)

Data hold enormous potential to advance discovery, decision making, and the continuous improvement of learning.

The program in education data science integrates the complex and rich disciplines of computer science and statistics with education and social science theory. It prepares students to apply data science skills and techniques to education research and practice.

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The program

This two-year, full-time residential course of study combines academic coursework with a mentored internship or research assistantship. The program culminates with a capstone project under mentorship of GSE faculty.

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Education data science at Stanford

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Why Stanford?

Stanford is known for building data science expertise across disciplines. The Graduate School of Education has been a pioneer in research methods, both quantitative and qualitative, and is ideally situated to generate innovations in research and applications to improve education for all learners. The master of science in education data science leverages these strengths to prepare leaders in the field.

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Why you?

The program draws students from a diverse set of backgrounds. What they share is a passion for improving equitable and effective learning for all. Ideal candidates will have a demonstrated interest in applying data science skills and techniques to education research and practice. Examples of prior professional or research experience in the education sector include work in K–12 and postsecondary institutions, government agencies, not-for-profits, and industry.

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After you graduate

Education data science graduates are among the first in the world with cutting-edge training in both data science and education theory and practice. Their expertise is valuable to education research firms, school districts and systems, universities, state and federal governmental education agencies, ministries of education in other countries, education technology companies, and educational for-profit ventures.

Faculty

Lecturer
EDS Program Director
Assistant Professor
Associate Professor
Professor
Associate Professor
Associate Professor

Our community

Ian Bott sitting outdoors on a bench on a sunlit afternoon
Ian Bott, MS '23 Education Data Science
Tackling puzzles in learning
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Raymond Zhang at his desk, holding a Stanford GSE mug in front of a monitor with coding
Raymond Zhang, MS '23 Education Data Science
Engineering ways to address inequalities in education
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Laura Hinton in a room by a window with plants all around
Laura Hinton, MS '23 Education Data Science
Catching bias in data solutions 
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What you need to know

Admission requirements

To learn more about requirements for admission, please visit the Application Requirements page.

Financing your education

To learn more about the cost of the program and options for financial support, please visit Financing Your Master’s Degree on the admissions website.

Contact admissions

For admissions webinars and to connect with the admission office, see our Connect and Visit page.

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