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QS Rank:

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6

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Stanford University

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California

United States

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Program Rank

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4

There are numerous focus areas and types of masters programs one can pursue through higher education at Stanford University, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at Stanford University include masters in data science, bachelors in data science, boot camps, and short courses.

Course LevelPost Graduation
Course Duration12-14 months
Average Tuition FeeINR 15-60 lakhs per year
Top Job RolesData Scientist, Data Analyst, Data Manager, Data Architect, etc.

Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at Stanford University, one can expect to dive into essential concepts in the mentioned areas:

  • Applied Statistics
  • Database Systems and Data Preparation
  • Practical Machine Learning
Subjects Under Masters in Data Science at Stanford University

The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at Stanford University are as follows:

  • Statistics
  • Coding
  • Business Intelligence
  • Data Structures
  • Mathematics
  • Algorithm
  • Programming
  • Software engineering
  • Artificial intelligence
  • Machine learning
  • Systems architecture

These subjects can be adjusted based on a university curriculum and specialisation.

Scope of MS in Data Science at Stanford University

Being in the list of the hottest courses, MS in Data Science at Stanford University offers immense opportunities for students with various intriguing and growth-oriented job roles.

  • The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
  • The top salaried sectors that an international student can explore after pursuing their data scientist masters program at SU are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
  • After pursuing this course at SU, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
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Total Tuition Fees

$1,06,000

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Duration

24 Months

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Median Salary

$1,15,000

Ranking

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#3

US World and News Report

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#3

The World University Rankings

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#6

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

3 Years

Diversity

New York:

12%

Texas:

9%

Others:

32%

Illinois:

7%

Florida:

6%

California:

34%

Career Outcomes

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Median Earnings After Graduation

$1,15,000 / year

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Graduation Rate

96%

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Visualization Specialist

Data Engineer

Teacher

Professor

Marketing Analyst

Education Data Scientist

Operations Analyst

Data Analyst

Data Scientist

Business Analyst

Researcher

UX Designer

Consultant

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 125

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    Transcript

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    Statement of Purpose

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    Passport

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    Resume

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    TOEFL

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    Academic LOR

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    Class 12 Marksheets

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    Professional LOR

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    Professional LOR

Application Deadlines

Standard Deadline
FallJan 6, 2024

Fees and Funding

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Tuition Fees

$53,000 / year

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Overall Cost

$56,000 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The Stanford Graduate School of Education offers a variety of scholarships and financial aid opportunities for students pursuing a Master of Science in Education (MSEd) in Education Data Science. Scholarships are based on financial need and academic merit, and are awarded to students who demonstrate a strong commitment to the field of education data science. The School also offers a number of fellowships and internships, which provide students with the opportunity to gain practical experience in the field.

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    Stanford Graduate School of Education

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    Jack Kent Cooke Foundation Graduate Scholarship

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    Paul and Daisy Soros Fellowships for New Americans

FAQs

  • One can apply for scholarships to pursue their international education at Stanford University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

  • A student can complete Education Data Science at Stanford University with in 24.

  • The deadline to submit an admission application for Education Data Science at Stanford University is Application deadline Fall (Standard Deadline) - date - 06/01/2024

  • The application fee to pursue Education Data Science at Stanford University is USD 125 for international students.

  • The annual tuition fee to pursue Education Data Science at Stanford University is USD 31212.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Stanford University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Stanford University requirements before submitting a score.

  • Education Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of Stanford University, they can easily pursue Education Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at Stanford University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Stanford University website to check the course/ degree duration.

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