by our College Data Analytics TeamComputer & Information Sciences is a program of study at Washington State University. The school offers a master’s degree in the area. Here, you’ll find out more about the major master’s degree program in computer and information sciences, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
During the 2019-2020 academic year, part-time graduate students at Wazzu paid an average of $1,322 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $617 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $11,781 | $25,879 |
| Fees | $1,682 | $1,682 |
Online degrees for the Wazzu 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 Wazzu Online Learning page.
About 21.3% of the students who received their MS in computer and information sciences in 2019-2020 were women. This is less than the nationwide number of 33.2%.
Racial-ethnic minority graduates* made up 4.3% of the computer and information sciences master’s degrees at Wazzu in 2019-2020. This is lower than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 1 |
| International Students | 44 |
| Other Races/Ethnicities | 0 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Science | 47 |
*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.