by our College Data Analytics TeamComputer & Information Sciences is a program of study at University of Pittsburgh - Pittsburgh Campus. The school offers a master’s degree in the area. 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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Out-of-state part-time graduates at Pitt paid an average of $1,630 per credit hour in 2019-2020. 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 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at Pitt. To see if the school offers distance learning options in other areas, visit the Pitt Online Learning page.
Women made up around 37.4% of the computer and information sciences students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 33.2%.
Of those graduates who received a master’s degree in computer and information sciences at Pitt in 2019-2020, 5.9% were racial-ethnic minorities*. This is lower than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 5 |
| Black or African American | 4 |
| Hispanic or Latino | 4 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 14 |
| International Students | 223 |
| Other Races/Ethnicities | 4 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Information Systems | 9 |
| Information Science | 190 |
| Computer Science | 19 |
| Computer Systems Networking | 6 |
| Information Technology | 30 |
*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.