Multi / Interdisciplinary Studies is a program of study at Yeshiva University. 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 multi / interdisciplinary studies, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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In 2019-2020, the average part-time graduate tuition at Yeshiva was $1,160 per credit hour for both in-state and out-of-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $34,800 | $34,800 |
Fees | $300 | $300 |
Yeshiva does not offer an online option for its multi / interdisciplinary studies master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Yeshiva Online Learning page.
Of the students who received their master’s degree in multi / interdisciplinary studies in 2019-2020, 57.1% of them were women. This is less than the nationwide number of 63.5%.
None of the multi / interdisciplinary studies master’s degree recipients at Yeshiva 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 | 2 |
International Students | 3 |
Other Races/Ethnicities | 2 |
Multi / Interdisciplinary Studies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Dispute Resolution | 7 |
*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.