Overview
Why Education Data Science at Stanford University?Stanford University is renowned for its leadership in data science across various disciplines. The Graduate School of Education is at the forefront of innovative research methodologies, both quantitative and qualitative, making it an ideal setting for students aiming to make a significant impact in education. The Master of Science in Education Data Science capitalises on these strengths, preparing students to become leaders equipped to address the challenges in the educational landscape. The programme attracts a diverse cohort of students who share a common goal: to enhance equitable and effective learning experiences for all. Candidates are expected to have a strong interest in applying data science techniques to educational research and practice. Many students come with prior experience in the education sector, including roles in K–12 and higher education institutions, governmental organisations, non-profits, and the private sector.
Tuition Fee BreakdownThe tuition fees for the Education Data Science programme at Stanford University are as follows:
- International Students: USD 13,240 per semester
- National Students: USD 13,240 per semester
- Local Students: USD 13,240 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum of the Education Data Science programme is structured to provide a comprehensive understanding of the intersection between data science and education. Key components include:
- Advanced Data Analysis Techniques
- Educational Research Methods
- Machine Learning Applications in Education
- Statistical Modelling for Educational Data
- Ethics in Data Science
- Internship and Research Project
This well-rounded syllabus ensures that students are prepared to tackle real-world challenges in education using data-driven approaches.
Careers with Education Data ScienceGraduates of the Education Data Science programme are among the first globally to possess advanced training that merges data science with educational theory and practice. Their skills are highly sought after in various sectors, including educational research firms, school districts, universities, governmental education agencies, and educational technology companies. Alumni have successfully transitioned into roles that involve data analysis, educational consultancy, and policy-making, contributing to advancements in educational practices and outcomes.
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
- Apply before
-
Language
Credits
Delivered
Campus Location
- Stanford, United States
Disciplines
Education Data Science & Big Data View 2552 other Masters in Education in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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
-
International Applies to you
Applies to youNon-residents42360 USD / year≈ 42360 USD / year - Out-of-State42360 USD / year≈ 42360 USD / year
-
Domestic
Applies to youIn-State26480 USD / year≈ 26480 USD / year
Additional Details
Tuition per quarter. Students are typically enrolled in classes for three quarters: autumn, winter, spring
Living costs
Stanford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
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- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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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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