Liberal Arts / Sciences & Humanities is a program of study at Columbia University in the City of New York. The school offers a master’s degree in the area. Here, you’ll find out more about the major master’s degree program in liberal arts / sciences and humanities, including such details as the number of graduates, diversity of students, and more.
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During the 2019-2020 academic year, part-time graduate students at Columbia paid an average of $0 per credit hour. No discount was available for in-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $49,024 | $49,024 |
Fees | $2,170 | $2,170 |
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Online degrees for the Columbia liberal arts / sciences and humanities master’s degree program are not available 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 75.0% of the liberal arts / sciences and humanities students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 61.4%.
Of those students who received a master’s degree at Columbia in liberal arts / sciences and humanities 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 | 2 |
International Students | 0 |
Other Races/Ethnicities | 2 |
Liberal Arts / Sciences & Humanities students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Liberal Arts General Studies | 4 |
*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.