The main focus area for this major is American U.S. Studies. For more details on this concentration, visit its profile page.
Area Studies is a major offered under the area, ethnic, culture, and gender studies program of study at William & Mary. Here, you’ll find out more about the major master’s degree program in area studies, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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Out-of-state part-time graduates at William & Mary paid an average of $1,573 per credit hour in 2019-2020. The average for in-state students was $584 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $10,516 | $28,305 |
Fees | $5,924 | $6,495 |
William & Mary does not offer an online option for its area studies master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the William & Mary Online Learning page.
All of the students who received their MA in area studies in 2019-2020 were women.
Of those graduates who received a master’s degree in area studies at William & Mary in 2019-2020, 50.0% were racial-ethnic minorities*. This is higher than the nationwide number of 27%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 1 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 1 |
International Students | 0 |
Other Races/Ethnicities | 0 |
Area Studies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
American U.S. Studies | 2 |
*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.