Name: Master of Science
Price: 53000 USD

Overview

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 Level	Post Graduation
Course Duration	12-14 months
Average Tuition Fee	INR 15-60 lakhs per year
Top Job Roles	Data 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.

Total Tuition Fees

$1,06,000

Duration

24 Months

Median Salary

$1,15,000

Ranking

#3

US World and News Report

#3

The World University Rankings

#6

QS World University Rankings

Intake

Fall ( Sept - Nov )

Class Profile

Class Size

25

Average Age

28

Average Work Experience

3 Years

Diversity

New York:

12%

Texas:

9%

Others:

32%

Illinois:

7%

Florida:

6%

California:

34%

Career Outcomes

Median Earnings After Graduation

$1,15,000 / year

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

Eligibility Criteria

English Proficiency Tests

TOEFL
100

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.

Application Fee: 125

Transcript

Statement of Purpose
Passport
Resume
TOEFL
Academic LOR
Class 12 Marksheets
Professional LOR
Professional LOR

Application Deadlines

	Standard Deadline
Fall	Jan 6, 2024

Fees and Funding

Tuition Fees

$53,000 / year

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.

Stanford Graduate School of Education
Jack Kent Cooke Foundation Graduate Scholarship
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.

Master of Science in Education Data Science