Computer & Information Sciences is a program of study at University of Virginia - Main Campus. The school offers a master’s degree in the area. We’ve gathered data and other essential information about the master’s degree program in computer and information sciences, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time graduate tuition at University of Virginia was $1,290 per credit hour for out-of-state students. The average for in-state students was $764 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $17,076 | $28,604 |
Fees | $3,108 | $3,790 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at University of Virginia. To see if the school offers distance learning options in other areas, visit the University of Virginia Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 36.2% of them were women. This is higher than the nationwide number of 33.2%.
Around 28.1% of computer and information sciences master’s degree recipients at University of Virginia in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 27 |
Black or African American | 13 |
Hispanic or Latino | 8 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 66 |
International Students | 67 |
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 | 60 |
Computer Software & Applications | 54 |
Information Technology | 71 |
*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.