Computer & Information Sciences is a program of study at The Graduate Center, CUNY. The school offers a doctor’s degree in the area. We’ve pulled together some essential information you should know about the doctor’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 The Graduate Center paid an average of $965 per credit hour in 2019-2020. The average for in-state students was $560 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $9,930 | $23,160 |
Fees | $480 | $480 |
Online degrees for the The Graduate Center computer and information sciences doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the The Graduate Center Online Learning page.
About 33.3% of the students who received their PhD in computer and information sciences in 2019-2020 were women. This is higher than the nationwide number of 22.6%.
None of the computer and information sciences doctor’s degree recipients at The Graduate Center 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 | 3 |
International Students | 3 |
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 | 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.