by our College Data Analytics TeamGeneral Information Science is a concentration offered under the information science major at SUNY Plattsburgh. We’ve gathered data and other essential information about the master’s degree program in information science, such as diversity of students, how many students graduated in recent times, and more.
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Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
To stay competitive in today's information technology world, employees need to have training that goes beyond traditional computer programming and IT expertise.
During the 2019-2020 academic year, part-time graduate students at SUNY Plattsburgh paid an average of $963 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $471 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $11,310 | $23,100 |
| Fees | $1,504 | $1,504 |
SUNY Plattsburgh does not offer an online option for its information science master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the SUNY Plattsburgh Online Learning page.
About 28.6% of the students who received their MS in information science in 2019-2020 were women. This is less than the nationwide number of 45.0%.
Of those graduates who received a master’s degree in information science at SUNY Plattsburgh in 2019-2020, 14.3% were racial-ethnic minorities*. This is lower than the nationwide number of 25%.
| 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 | 3 |
| International Students | 3 |
| Other Races/Ethnicities | 0 |
*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.
