Development Economics & International Development is a concentration offered under the economics major at New Mexico State University - Main Campus. We’ve pulled together some essential information you should know about the doctor’s degree program in development economics and international development, including how many students graduate each year, the ethnic diversity of these students, and more.
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In 2019-2020, the average part-time graduate tuition at NMSU Main Campus was $963 per credit hour for out-of-state students. The average for in-state students was $277 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $4,981 | $17,330 |
Fees | $945 | $945 |
Online degrees for the NMSU Main Campus development economics and international development doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the NMSU Main Campus Online Learning page.
Of the students who received their doctor’s degree in development economics and international development in 2019-2020, 50.0% of them were women. This is less than the nationwide number of 57.9%.
Around 75.0% of development economics and international development doctor’s degree recipients at NMSU Main Campus in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 32%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 0 |
International Students | 1 |
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.