by our College Data Analytics TeamGeneral Computer & Information Sciences is a concentration offered under the computer information systems major at Bellevue University. We’ve pulled together some essential information you should know about the master’s degree program in computer and information sciences, including how many students graduate each year, the ethnic diversity of these students, and more.
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In 2019-2020, the average part-time graduate tuition at Bellevue University was $595 per credit hour for both in-state and out-of-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $10,710 | $10,710 |
| Fees | $675 | $675 |
If you’re interested in online learning, you’re in luck. Bellevue University does offer online classes in its computer and information sciences master’s degree program. To see if the school offers distance learning options in other areas, visit the Bellevue University Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 31.7% of them were women. This is higher than the nationwide number of 29.5%.
Around 53.7% of computer and information sciences master’s degree recipients at Bellevue University in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 17%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 13 |
| Black or African American | 5 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 10 |
| International Students | 1 |
| Other Races/Ethnicities | 10 |
*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.