Computer & Information Sciences is a program of study at Northern Arizona University. 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, and more.
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Out-of-state part-time graduates at NAU paid an average of $1,428 per credit hour in 2019-2020. The average for in-state students was $520 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 | $10,309 | $18,630 |
Fees | $857 | $859 |
Online degrees for the NAU 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 NAU Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 20.0% of them were women. This is less than the nationwide number of 33.2%.
None of the computer and information sciences master’s degree recipients at NAU 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 | 2 |
International Students | 7 |
Other Races/Ethnicities | 1 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 4 |
Computer Science | 6 |
*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.