by our College Data Analytics TeamComputer & Information Sciences is a program of study at University of Michigan - Dearborn. 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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Out-of-state part-time graduates at UM Dearborn paid an average of $1,437 per credit hour in 2019-2020. The average for in-state students was $810 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 | $13,850 | $24,672 |
| Fees | $400 | $400 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at UM Dearborn. To see if the school offers distance learning options in other areas, visit the UM Dearborn Online Learning page.
About 48.0% of the students who received their MS in computer and information sciences in 2019-2020 were women. This is higher than the nationwide number of 33.2%.
Around 21.3% of computer and information sciences master’s degree recipients at UM Dearborn in 2019-2020 were awarded to racial-ethnic minorities*. This is about the same as the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 5 |
| Black or African American | 5 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 18 |
| International Students | 40 |
| Other Races/Ethnicities | 5 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Information Systems | 34 |
| Computer Programming | 13 |
| Information Science | 27 |
| Information Technology | 1 |
*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.