by our College Data Analytics TeamOther Management Sciences and Quantitative Methods is a concentration offered under the management sciences and quantitative methods major at Columbia University in the City of New York. We’ve pulled together some essential information you should know about the doctor’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 Columbia paid an average of $1,974 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 | $49,024 | $49,024 |
| Fees | $2,170 | $2,170 |
Columbia does not offer an online option for its other management sciences and quantitative methods doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Columbia Online Learning page.
Women made up around 33.3% of the other management sciences and quantitative methods students who took home a doctor’s degree in 2019-2020. This is less than the nationwide number of 41.4%.
Of those students who received a doctor’s degree at Columbia in other management sciences and quantitative methods at 2019-2020, none were 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 | 0 |
| 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.