MS in Education Data Science
4.3 /5
- Private University
Stanford Graduate School of Education
Talk to ExpertMS in Education Data Science at Stanford University Overview
MS in Education Data Science
at Stanford University
MS in Education Data Science at Stanford University is a popular program among Indian students. For admission to this course, which has 2 years, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS, TOEFL, GRE and PTE. The first-year tuition fee for this course at the time of admission is USD 41,310 (INR 3,965,347). Also, there is regular spending on food, travel, staying, books, supplies and others. The annual cost of living is typically USD 24,962 (INR 2,396,102) at Stanford University.
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹39.58 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Education Data Science
Table of contents
MS in Education Data Science at Stanford University Fees
MS in Education Data Science
at Stanford University
To get admission in MS in Education Data Science at Stanford University students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is USD 41,310 (INR 3,965,347). In addition to these students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 39,58,345 |
| Application Fee | INR 11,978 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 23,91,871 |
| Insurance | INR 7,30,152 |
Calculated at the exchange rate of 1 USD = INR 95.8205 | Tuition & expenses were last updated on 9ᵗʰ September 2025MS in Education Data Science at Stanford University Curriculum
MS in Education Data Science
at Stanford University
International students can check the green button below for the Stanford University MS in Education Data Science . The course PDF comprises information such as subjects taught, electives available, other course content, and semester-wise course structure breakup.
Download exam sample paper
TOEFL
TOEFL
PTE
IELTS
GRE
MS in Education Data Science at Stanford University Entry Requirements
MS in Education Data Science
at Stanford University
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
- Applicants must hold a bachelor degree.
- Students will need basic programming skills to enter most data science classes. As a result, basic programming experience or prior coursework in programming is required
- Novices should consider taking EdX or Coursera courses before applying. The education data science program relies on R and Python programming languages.
- Bachelor’s degree in engineering or medicine; or four-year bachelor's degree. (Note: A three-year bachelor’s degree in any subject is not considered sufficient for graduate study at Stanford. The two-year master’s degree following the three-year bachelor’s degree from India is required.)
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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 100/120
- Read less
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Convert your CGPA to GPA
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 10
PTE
- No specific cutoff mentioned
IELTS
- Marks - 7.5/9
GRE
- No specific cutoff mentioned
- Applicants will have the opportunity to submit GRE scores if you have taken the test and feel that your scores would enhance your application. Not submitting your GRE scores does not affect your application
Sign-up to view details
MS in Education Data Science at Stanford University Frequently Asked Questions
MS in Education Data Science
at Stanford University
MS in Education Data Science at Stanford University Rankings
MS in Education Data Science
at Stanford University
Course Ranking
University Ranking
| Rank | Rank Publisher |
|---|---|
| #1 | |
| #2 | |
| #3 |
MS in Education Data Science at Stanford University Placements
MS in Education Data Science
at Stanford University
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, In the summer following the first year of study, students complete an internship. |
MS in Education Data Science at Stanford University Students also asked
MS in Education Data Science
at Stanford University
Stanford UniversityStudents Ratings & Reviews
4.3/5
3 Verified ReviewsStudent Views (Based on Reviews)
- 50% students never faced discrimination in this university
Vibe of Campus
Friendly
Academically oriented
Fun loving
Sporty
Internships4.3
Part time work4.7
Post study jobs4.7
Quality of faculty5
Student Life4.7
Value for money4
Public transportation3
Safety4.7
Indian Food3.7
Permanent Immigration4.3
A
Anonymous
BA in Art History - Batch of 2019
4.6
Stanford is great with good faculty and lots of opportunities.
Tips: Go to Stanford if you want to be around people who are creative risk-takers and highly ambitious. The spirit of entrepreneurship is very rich at Stanford. Take at least one class in coding as this will help you get more from Stanford regardless of your major. There is not enough good public transportation, SF is too far. Overall I am satisfied with the experience.
Likes (Quality of faculty): The faculty is good and highly qualified. Some lecturers are better than others. The art history department is too US-focused but this is changing. Centre for South Asia is slowly becoming more and more amazing. We love it. The faculty is overall approachable.
Total Monthly ExpenseUSD 4325
Prepping time for classes40 hours/Week
Expected Annual SalaryUSD
Nirali Parekh
BS in Management Science and Engineering - Batch of 2024
4.2
Stanford: Highly rewarding, very competitive and all-round growth
Tips: Cost: Stanford is expensive - both tuition and living expenses. Please check with the department and alumni regarding financial aid options before applying here. Competition: Stanford attracts the best talent from all around the world. At times, it can get super competitive and lead to anxiety, so be prepared to be challenged intellectually and socially. Cultural shift: Stanford and California in general, is known for its laid-back culture. Depending on where you're from, there might be weather changes, norms changes, and especially shifts in liberal social interactions.
Likes (Post study jobs): Alumni network: Stanford has a very strong alumni network which is very valuable for finding a job post-graduation. Stanford CareerEd offers many career-based services like Resume Review, connection to relevant individuals in the industry, interviewing skills, job hunting, etc. They also tailor the information according to your need - eg. Companies sponsoring visas, or in manufacturing sector, etc.
Dislikes (Public transportation): The campus internally is very well connected with Marguerite Shuttle, which is free to use for Stanford students. Outside the campus, there are public transport options like Caltrain and VTA available, but they do not cover all areas comprehensively, hence we have to rely on multiple modes of transport (like changing 3 buses to reach your destination) or personal vehicles. The cost of transportation like Caltrain can get a bit expensive for regular commuting, but can be affordable using Go passes.
Total Monthly ExpenseUSD 2150
Prepping time for classes30 hours/Week
Expected Annual SalaryUSD
C
Charlton Christ W
BS in Engineering Physics - Batch of 2024
4.1
Amazing College for this Course!
Tips: This is an amazing place to learn and study if you are looking for a place to excel in your course knowledge. This is the place to go for. But also have a good SAT score so that you will get enough scholarship as the tuition fee is quite high when compared to other universities. Also, this is the best university in my opinion.
Likes (Safety): In this college, you will have amazing safety for the students as there will be a lot of rules and norms to follow. The foreign students feel amazing here because of the safety. There will be a lot of centers to go. The university has friendly people. All the students are friendly to the foreign students.
Dislikes (Indian Food): There were no Indian restaurants to start with. Even if I found one, it was expensive in terms of cost. This is the only reason that I didn't go to any Indian restaurant, instead I go to a Chinese restaurant. Also, I have saved some money to buy groceries and cook for myself.
Total Monthly ExpenseUSD 2261
Prepping time for classes27 hours/Week
Expected Annual SalaryUSD 90125
A
Anonymous
Master of Arts in History - Batch of 2025
3.9
Stanford University has friendly and helpful faculty and management.
Tips: Before joining Stanford University, students should know that the college is strict but friendly as well. College life is a combination of academic, social, and personal growth that students experience. I found student life at Stanford to be a bit uneasy at first, but it eventually turned out to be a good experience. I liked spending time with my friends on the bus ride to and from campus each day, and I enjoyed interacting with both my friends and the faculty. The events at Stanford were a mix of traditional and cultural events. College life will be a transformative experience that offers a variety of experiences and opportunities for personal growth. Overall, I am quite satisfied with my experiences.
Total Monthly ExpenseUSD 6075
Prepping time for classes33 hours/Week
Expected Annual SalaryUSD 97625
View All 4 Reviews
MS in Education Data Science at Stanford University Highlights
MS in Education Data Science
at Stanford University
- MS in Education Data Science is offered by Stanford Graduate School of Education under Stanford University, USA
- This two-year, full-time residential course of study combines academic coursework with a mentored internship or research assistantship
- 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
- Students take a minimum of 18 courses, or 51 units: 9 from the core curriculum, 3 in educational foundations, and a minimum of 6 in at least 3 areas of data science specialization
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MS in Education Data Science at Stanford University Scholarships
MS in Education Data Science
at Stanford University
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
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