by our College Data Analytics TeamOther Management Sciences and Quantitative Methods is a concentration offered under the management sciences and quantitative methods major at Pacific Lutheran University. We’ve pulled together some essential information you should know about the master’s degree program in other management sciences and quantitative methods, including how many students graduate each year, the ethnic diversity of these students, and more.
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Part-time graduates at PLU paid an average of $969 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $29,841 | $29,841 |
| Fees | $550 | $550 |
Online degrees for the PLU other management sciences and quantitative methods master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the PLU Online Learning page.
Women made up around 25.0% of the other management sciences and quantitative methods students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 46.2%.
Of those graduates who received a master’s degree in other management sciences and quantitative methods at PLU in 2019-2020, 66.7% were racial-ethnic minorities*. This is higher than the nationwide number of 16%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 3 |
| Black or African American | 0 |
| Hispanic or Latino | 3 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 3 |
| International Students | 0 |
| Other Races/Ethnicities | 3 |
*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.