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Admissions
Acceptance Rate
1,681
Applied
657
Accepted
333
Enrolled
Applying
85
Application Fee - Domestic
Yes
Electronic applications accepted?
Yes
Applications processed on a rolling basis?
Application Deadlines
Type | Domestic | International | Priority date |
---|---|---|---|
Fall deadline | December 1st | December 1st | Yes |
Winter deadline | October 7th | Not reported | No |
Spring deadline | January 13th | Not reported | No |
Summer deadline | April 15th | Not reported | No |
Entrance Requirements
Exam | Details | |
---|---|---|
Master's Degree Exam | GRE General Test, GMAT Requirements vary for degree programs as test scores may be optional for some applicants. | |
Master's Degree Requirements | Entrance Exam GRE General Test, GMAT Requirements vary for degree programs as test scores may be optional for some applicants. | |
Doctoral Degree Exam | GRE General Test may not be required for all applicants |
Exam | Details | |
---|---|---|
TOEFL: Required |
TOEFL Paper score: 590 TOEFL IBT score: 100 |
Tuition & Fees
Financial Support
Financial award applicants must submit: | FAFSA |
---|---|
Application deadlines for financial awards | October 1 |
Types of financial support available |
Fellowships Research Assistantships Teaching Assistantships Health Care Benefits Institutionally-sponsored Loans Scholarship and/or loans Graduate Assistantships Tuition waivers for student who do not receive fellowships or assistantships Federal Work-Study Financial support for part-time students |
Student Body
799
Total Graduate Students
21%
International Breakout (representing other countries)
Race/Ethnicity
Hispanic/Latino | 8.01% |
---|---|
Black or African American | 3.5% |
White or Caucasian | 45% |
American Indian or Alaska Native | 0.88% |
Asian | 13.77% |
Native Hawaiian or Pacific Islander | 0.13% |
Two or more races | 6.38% |
Unknown | 1% |
Gender
Male (34%)
Female (65%)
Faculty
63
Total faculty
Full-time - 44
Part-time - 19
Male (28)
Female (35)
Research
Focus of faculty research: | Data Science: Identifying, analyzing, visualizing and securing data to advance responsible data-driven decision making, innovation, policy, and social good. Fields of study include: machine learning; visualization; social networks; data curation; open data, misinformation and disinformation. Human-Computer Interaction: Making technology easier to use and content more accessible. Fields of study include: user experience; design theory and methods; technology for social good. Indigenous Knowledge. |
---|---|
Externally sponsored research expenditures last year: | 5,485,800 |
Location & Contact
Address
Mary Gates Hall, Suite 420
Box 352840
Seattle, WA 98195
United States
Box 352840
Seattle, WA 98195
United States
University of Washington
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