by our College Data Analytics TeamOther 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 other computer and information sciences, including how many students graduate each year, the ethnic diversity of these students, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
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 following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $25,200 | $25,200 |
| Fees | $260 | $260 |
NYIT does not offer an online option for its other 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.
All of the students who received their MS in other computer and information sciences in 2019-2020 were women.
Of those students who received a master’s degree in other computer and information sciences at NYIT in 2019-2020, all were racial-ethnic minorities*.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 0 |
| Other Races/Ethnicities | 0 |
You may also be interested in one of these majors related to other computer and information sciences.
| Related Major | Annual Graduates |
|---|---|
| General Computer & Information Sciences | 103 |
View All Other 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.