by our College Data Analytics TeamMathematics & Statistics is a program of study at University of Missouri - St Louis. 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 mathematics and statistics, including how many students graduate each year, the ethnic diversity of these students, and more.
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Out-of-state part-time graduates at UMSL paid an average of $1,256 per credit hour in 2019-2020. The average for in-state students was $512 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 | $12,283 | $30,154 |
UMSL does not offer an online option for its mathematics and statistics master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UMSL Online Learning page.
Women made up around 16.7% of the mathematics and statistics students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 42.1%.
Racial-ethnic minority graduates* made up 33.3% of the mathematics and statistics master’s degrees at UMSL in 2019-2020. This is higher than the nationwide number of 15%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 2 |
| 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 | 0 |
| Other Races/Ethnicities | 0 |
Mathematics & Statistics students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Mathematics | 6 |
*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.