Computer & Information Sciences is a program of study at Golden Gate University - San Francisco. 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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During the 2019-2020 academic year, part-time graduate students at Golden Gate University - San Francisco paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $19,620 | $19,620 |
Fees | $85 | $85 |
If you’re interested in online learning, you’re in luck. Golden Gate University - San Francisco 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 Golden Gate University - San Francisco Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 30.0% of them were women. This is less than the nationwide number of 33.2%.
Around 10.0% of computer and information sciences master’s degree recipients at Golden Gate University - San Francisco in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 14 |
Other Races/Ethnicities | 2 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 20 |
*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.