by our College Data Analytics TeamComputer & Information Sciences is a program of study at University of Wisconsin - Parkside. 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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During the 2019-2020 academic year, part-time graduate students at UW - Parkside paid an average of $979 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $446 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 | $8,028 | $17,622 |
| Fees | $1,146 | $1,146 |
Online degrees for the UW - Parkside computer and information sciences master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the UW - Parkside Online Learning page.
About 28.6% of the students who received their MS in computer and information sciences in 2019-2020 were women. This is less than the nationwide number of 33.2%.
Of those graduates who received a master’s degree in computer and information sciences at UW - Parkside in 2019-2020, 57.1% were racial-ethnic minorities*. This is higher than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 2 |
| Black or African American | 1 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 1 |
| International Students | 2 |
| Other Races/Ethnicities | 0 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Information Systems | 7 |
*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.