Computer & Information Sciences is a program of study at Catholic University of America. The school offers a master’s degree in the area. 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, whether or not the degree is offered online, and more.
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Part-time graduates at CUA paid an average of $1,975 per credit hour in 2019-2020. This tuition was the same 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 | $49,680 | $49,680 |
Fees | $660 | $660 |
Online degrees for the CUA 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 CUA Online Learning page.
About 75.0% of the students who received their MS in computer and information sciences in 2019-2020 were women. This is higher than the nationwide number of 33.2%.
None of the computer and information sciences master’s degree recipients at CUA in 2019-2020 were awarded to racial-ethnic minorities*.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 0 |
International Students | 4 |
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 | 4 |
*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.