Multi / Interdisciplinary Studies is a program of study at Bentley University. The school offers a master’s degree in the area. We’ve gathered data and other essential information about the master’s degree program in multi / interdisciplinary studies, such as diversity of students, how many students graduated in recent times, and more.
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Part-time graduates at Bentley paid an average of $1,708 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $40,992 | $40,992 |
Online degrees for the Bentley multi / interdisciplinary studies master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Bentley Online Learning page.
Women made up around 58.4% of the multi / interdisciplinary studies students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 63.5%.
Around 8.0% of multi / interdisciplinary studies master’s degree recipients at Bentley in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 27%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 9 |
Black or African American | 1 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 35 |
International Students | 86 |
Other Races/Ethnicities | 6 |
Multi / Interdisciplinary Studies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Human Computer Interaction | 43 |
Data Analytics | 94 |
*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.