Overview

The Education Data Science programme at Stanford University provides a rigorous academic foundation for those looking to transform the landscape of learning through quantitative analysis. By merging the technical demands of data science with the nuanced theories of education, the course equips students to drive discovery and decision-making in diverse settings.

This full-time course of study is designed to be completed over two years on campus. It combines intensive academic coursework with practical experience, including an internship and original research projects. Students benefit from direct mentorship provided by the Graduate School of Education faculty, ensuring a deep connection between theory and practice.

Why Education Data Science at Stanford University?

Stanford University is globally recognised for its ability to build cross-disciplinary expertise in data science. The Graduate School of Education has long been a pioneer in both quantitative and qualitative research methods, making it an ideal environment for generating innovations that improve education for all types of learners.

The institution leverages its significant strengths in research and application to prepare the next generation of leaders in this emerging field. Students join a diverse community of peers who share a passion for creating equitable and effective learning environments through the application of sophisticated data techniques and social science insights.

Tuition Fee Breakdown

International fee: USD 21180 per semester
National fee: USD 21180 per semester
Local fee: USD 13240 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

Careers with Education Data Science

Graduates from this programme are among the first professionals worldwide to possess specialised training that bridges the gap between data science and educational theory. This unique skillset is highly sought after by a wide range of organisations looking to implement data-driven improvements in teaching and administration.

Career opportunities are extensive, with alumni finding success in education research firms, school districts, and large-scale university systems. Graduates are also well-positioned for roles within state and federal governmental education agencies, as well as ministries of education internationally, where they influence policy and practice.

The private sector also offers numerous pathways, particularly within the growing education technology industry. Graduates often secure positions in for-profit educational ventures and technology companies, where they apply their expertise to develop tools and platforms that enhance the learning experience for students across the globe.

Programme Structure

Courses include:

Natural Language processing
Network science
Experiments / causal methods
Measurement
Learning analytics

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2027-09-22 00:00:00
- Apply before 2027-01-01 00:00:00

Language

English

TOEFL^® IBT

100

Schedule TOEFL®

Credits

45 alternative credits

Delivered

On Campus

Campus Location

Stanford, United States

Disciplines

Education Data Science & Big Data View 2554 other Masters in Education in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

100

Schedule TOEFL®

Other requirements

General requirements

Application Form
The application fee is $125, is non-refundable, and must be received by the application deadline.
Statement of Purpose
Resume/CV
Three (3) Letters of Recommendation
College and University Transcripts
Concerning course work completed in a study abroad program
If the coursework and grades are reflected on the transcript of your home institution, you do not need to submit original transcripts from the study abroad institution.
Concerning foreign institutions

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

42360 USD / year

≈ 42360 USD / year
Out-of-State

42360 USD / year

≈ 42360 USD / year
Domestic

Applies to you

In-State

42360 USD / year

≈ 42360 USD / year

Additional Details

per quarter

Living costs

Stanford

United States

1100 - 1600 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Education Data Science.

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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