by our College Data Analytics TeamComputer & Information Sciences is a program of study at University of Minnesota - Twin Cities. 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, whether or not the degree is offered online, and more.
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In 2019-2020, the average part-time graduate tuition at UMN Twin Cities was $2,267 per credit hour for out-of-state students. The average for in-state students was $1,465 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 | $17,580 | $27,204 |
| Fees | $1,641 | $1,641 |
UMN Twin Cities does not offer an online option for its computer and information sciences master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UMN Twin Cities Online Learning page.
Women made up around 32.5% of the computer and information sciences students who took home a master’s degree in 2019-2020. This is about the same as the countrywide number of 33.2%.
Racial-ethnic minority graduates* made up 8.4% of the computer and information sciences master’s degrees at UMN Twin Cities in 2019-2020. This is lower than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 3 |
| Black or African American | 1 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 20 |
| International Students | 56 |
| Other Races/Ethnicities | 3 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Information Systems | 2 |
| Information Science | 13 |
| Computer Science | 68 |
*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.