by our College Data Analytics TeamAgronomy & Crop Science is a concentration offered under the plant sciences major at North Dakota State University - Main Campus. Here, you’ll find out more about the major doctor’s degree program in agronomy and crop science, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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During the 2019-2020 academic year, part-time graduate students at North Dakota State University paid an average of $584 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $390 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 | $7,013 | $10,519 |
| Fees | $1,070 | $1,070 |
Online degrees for the North Dakota State University agronomy and crop science doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the North Dakota State University Online Learning page.
Of the students who received their doctor’s degree in agronomy and crop science in 2019-2020, 66.7% of them were women. This is higher than the nationwide number of 37.7%.
Of those students who received a doctor’s degree at North Dakota State University in agronomy and crop science 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 | 1 |
| International Students | 2 |
| 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.