Business Statistics is a concentration offered under the management sciences and quantitative methods major at University of South Dakota. We’ve pulled together some essential information you should know about the master’s degree program in business statistics, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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Learn how to use data to make better, more informed business decisions when you earn a business analytics MBA online from Southern New Hampshire University
During the 2019-2020 academic year, part-time graduate students at USD paid an average of $648 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $337 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $6,062 | $11,656 |
Fees | $981 | $981 |
Online degrees for the USD business statistics master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the USD Online Learning page.
About 85.7% of the students who received their Master’s in business statistics in 2019-2020 were women. This is higher than the nationwide number of 48.0%.
None of the business statistics master’s degree recipients at USD in 2019-2020 were awarded to 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 | 6 |
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.