Biostatistics is a concentration offered under the biomathematics and bioinformatics major at University of Minnesota - Twin Cities. We’ve gathered data and other essential information about the doctor’s degree program in biostatistics, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time graduate tuition at UMN Twin Cities was $2,267 per credit hour for out-of-state students. The average for in-state students was $1,465 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $17,580 | $27,204 |
Fees | $1,641 | $1,641 |
Online degrees for the UMN Twin Cities biostatistics doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the UMN Twin Cities Online Learning page.
Of the students who received their doctor’s degree in biostatistics in 2019-2020, 22.2% of them were women. This is less than the nationwide number of 51.9%.
Racial-ethnic minority graduates* made up 22.2% of the biostatistics doctor’s degrees at UMN Twin Cities in 2019-2020. This is higher than the nationwide number of 12%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 2 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 4 |
International Students | 3 |
Other Races/Ethnicities | 0 |
You may also be interested in one of these majors related to biostatistics.
Related Major | Annual Graduates |
---|---|
Bioinformatics | 3 |
Biomathematics | 6 |
View All Biostatistics Related Majors >
*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.