The main focus area for this major is Materials Chemistry. For more details on this concentration, visit its profile page.
Materials Sciences is a major offered under the physical sciences program of study at University of South Dakota. We’ve pulled together some essential information you should know about the doctor’s degree program in materials science, including how many students graduate each year, the ethnic diversity of these students, and more.
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Out-of-state part-time graduates at USD paid an average of $648 per credit hour in 2019-2020. The average for in-state students was $337 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 | $6,062 | $11,656 |
Fees | $981 | $981 |
USD does not offer an online option for its materials science doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the USD Online Learning page.
Of the students who received their doctor’s degree in materials science in 2019-2020, 50.0% of them were women. This is higher than the nationwide number of 33.1%.
Of those students who received a doctor’s degree at USD in materials 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 | 0 |
International Students | 2 |
Other Races/Ethnicities | 0 |
Materials Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Materials Chemistry | 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.