Computer & Information Sciences is a program of study at Kennesaw State 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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During the 2019-2020 academic year, part-time graduate students at KSU Georgia paid an average of $1,066 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $296 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $5,328 | $19,188 |
Fees | $1,986 | $1,986 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at KSU Georgia. To see if the school offers distance learning options in other areas, visit the KSU Georgia Online Learning page.
Women made up around 41.6% of the computer and information sciences students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 33.2%.
Racial-ethnic minority graduates* made up 42.9% of the computer and information sciences master’s degrees at KSU Georgia in 2019-2020. This is higher than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 29 |
Black or African American | 26 |
Hispanic or Latino | 10 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 1 |
White | 43 |
International Students | 45 |
Other Races/Ethnicities | 7 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 87 |
Information Science | 21 |
Computer Science | 53 |
*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.