by our College Data Analytics TeamGeneral Information Science is a concentration offered under the information science major at University of Pittsburgh - Pittsburgh Campus. Here, you’ll find out more about the major master’s degree program in information science, including such details as the number of graduates, diversity of students, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
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.
In 2019-2020, the average part-time graduate tuition at Pitt was $1,630 per credit hour for out-of-state students. The average for in-state students was $947 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 | $23,530 | $39,898 |
| Fees | $938 | $938 |
Pitt 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 Pitt Online Learning page.
Of the students who received their master’s degree in information science in 2019-2020, 35.3% of them were women. This is less than the nationwide number of 45.0%.
Around 2.6% of information science master’s degree recipients at Pitt 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 | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 8 |
| International Students | 175 |
| Other Races/Ethnicities | 3 |
*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.
