by our College Data Analytics TeamGeneral Computer & Information Sciences is a concentration offered under the computer information systems major at New York Institute of Technology. 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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Part-time graduates at NYIT paid an average of $1,400 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 | $25,200 | $25,200 |
| Fees | $260 | $260 |
NYIT 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 NYIT Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 30.1% of them were women. This is in the same ballpark of the nationwide number of 29.5%.
Around 27.2% of computer and information sciences master’s degree recipients at NYIT in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 17%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 18 |
| Black or African American | 4 |
| Hispanic or Latino | 3 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 1 |
| White | 5 |
| International Students | 68 |
| Other Races/Ethnicities | 4 |
You may also be interested in one of these majors related to general computer and information sciences.
| Related Major | Annual Graduates |
|---|---|
| Other Computer & Information Sciences | 1 |
View All General Computer & Information Sciences Related Majors >
*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.