by our College Data Analytics TeamGeneral Computer & Information Sciences is a concentration offered under the computer information systems major at University of Washington - Tacoma Campus. We’ve gathered data and other essential information about the master’s degree program in computer and information sciences, such as diversity of students, how many students graduated in recent times, and more.
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Out-of-state part-time graduates at UW Tacoma paid an average of $1,389 per credit hour in 2019-2020. The average for in-state students was $775 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $16,278 | $29,178 |
| Fees | $1,260 | $1,260 |
Online degrees for the UW Tacoma computer and information sciences master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the UW Tacoma Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 53.0% of them were women. This is higher than the nationwide number of 29.5%.
Around 12.1% of computer and information sciences master’s degree recipients at UW Tacoma in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 17%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 7 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 10 |
| International Students | 44 |
| Other Races/Ethnicities | 5 |
You may also be interested in one of these majors related to general computer and information sciences.
| Related Major | Annual Graduates |
|---|---|
| Information Technology | 70 |
View All General Computer & Information Sciences Related Majors >
*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.
More about our data sources and methodologies.