by our College Data Analytics TeamGeneral Information Science is a concentration offered under the information science major at University at Albany. 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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To stay competitive in today's information technology world, employees need to have training that goes beyond traditional computer programming and IT expertise.
In 2019-2020, the average part-time graduate tuition at UAlbany was $963 per credit hour for out-of-state students. The average for in-state students was $471 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $11,310 | $23,100 |
| Fees | $2,125 | $2,125 |
Online degrees for the UAlbany information science master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the UAlbany Online Learning page.
Women made up around 81.3% of the information science students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 45.0%.
Around 18.8% of information science master’s degree recipients at UAlbany in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 25%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 3 |
| Black or African American | 1 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 22 |
| International Students | 1 |
| Other Races/Ethnicities | 4 |
*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.
