by our College Data Analytics TeamGeneral Applied Mathematics is a concentration offered under the applied mathematics major at Cleveland State University. We’ve gathered data and other essential information about the master’s degree program in general applied math, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, 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 Cleveland State University was $972 per credit hour for out-of-state students. The average for in-state students was $568 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 | $10,215 | $17,496 |
| Fees | $126 | $126 |
Cleveland State University does not offer an online option for its general applied math master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Cleveland State University Online Learning page.
Women made up around 42.9% of the general applied math students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 33.1%.
None of the general applied math master’s degree recipients at Cleveland State University in 2019-2020 were awarded to racial-ethnic minorities*.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 4 |
| International Students | 3 |
| 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.