Name: Master of Science
Price: 30000 USD

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QS Rank:

University of Washington Seattle

Washington

United States

Program Rank

Overview

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Overview Master of Data Science is one of the best courses to choose from that offers in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the University of Washington has consistently made its place among the top global universities. International students prefer this course at the University of Washington due to its high graduate employability rate. University of Washington offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Data Analytics from the University of Washington, students will be competent to carry out extensive research work in the field. The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Washington offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the University of Washington is a great choice for students who want to analyse the field in great depth. Why Study Data Science at University of Washington A popular choice for international students with a diverse community Learn from the best faculty members and become their research assistants High-end labs to facilitate research work Excellent placement programs after course completion Read more

Total Tuition Fees

$45,000

Duration

18 Months

Median Salary

$1,10,000

Ranking

#55

US World and News Report

#26

The World University Rankings

#76

QS World University Rankings

Intake

Fall ( Sept - Nov )

Class Profile

Class Size

Average Age

Average Work Experience

3 Years

Diversity

Others:

Asian:

22%

Black or African American:

Hispanic:

15%

White:

44%

Two or More Races:

12%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

82%

Prospective Job Roles

Statistician

Data Engineer

Software Architect

Data Architect

Data Scientist

Business Developer

Machine Learning Specialist

Business Development Associate

Data analyst

Healthcare Data Analyst

Clinical Data Analyst

Top recruiters

Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.

English Proficiency Tests

IELTS
7
TOEFL
92
DUOLINGO
120

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: 85

Transcript

Resume
IELTS
Academic LOR
Passport
Statement of Purpose
Class 12 Marksheets
Class 10 Marksheets

Application Deadlines

	Final Deadline
Fall	Jan 7, 2025

Fees and Funding

Tuition Fees

$30,000 / year

Overall Cost

$45,000 / year

FAQs

No, the program admits once per year, for the autumn quarter. We do not have winter, spring, or summer admissions.
The UW MSDS program offers a broad-based core curriculum to prepare students to be professional data scientists in industry. While we offer an elective or two most quarters, we do not offer specializations or opportunities to deeply specialize in subfields of data science.
The UW MSDS program is NOT a research program, but rather a professional master’s degree to prepare students for jobs in industry. We do not prepare students for Ph.D. programs, and are not associated with any Ph.D. program at a department level.
Yes, Curricular Practical Training (CPT) and Optional Practical Training (OPT) are options for M.S. in Data Science students. We are a STEM-eligible program.
Sometimes. The UW Graduate School requires that all applicants have a minimum of a 4-year U.S. undergraduate degree or international equivalent. They may recommend you complete additional schooling in order to meet this requirement.
While many of our students have work experience, it is not required for admission to the program.