by our College Data Analytics TeamComputational Science is a concentration offered under the computational science major at University of Michigan - Dearborn. We’ve pulled together some essential information you should know about the master’s degree program in scientific computing, including how many students graduate each year, the ethnic diversity of these students, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
In 2019-2020, the average part-time graduate tuition at UM Dearborn was $1,437 per credit hour for out-of-state students. The average for in-state students was $810 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
| 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 scientific computing 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.
Women made up around 72.7% of the scientific computing students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 32.7%.
Around 4.5% of scientific computing master’s degree recipients at UM Dearborn in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 1 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 21 |
| Other Races/Ethnicities | 0 |
*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.