Computer & Information Sciences is a program of study at Gannon University. The school offers a master’s degree in the area. We’ve gathered data and other essential information about the master’s degree program in computer and information sciences, such as diversity of students, how many students graduated in recent times, and more.
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Part-time graduates at Gannon paid an average of $1,110 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $19,980 | $19,980 |
Fees | $680 | $680 |
Gannon does not offer an online option for its computer and information sciences master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Gannon Online Learning page.
Women made up around 50.0% 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%.
Of those graduates who received a master’s degree in computer and information sciences at Gannon in 2019-2020, 12.5% were racial-ethnic minorities*. This is lower than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 1 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 0 |
International Students | 6 |
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 | 8 |
*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.