by our College Data Analytics TeamData Science, General is a concentration offered under the data science major at Bethel University Minnesota. Here, you’ll find out more about the major bachelor’s degree program in data science, general, including such details as the number of graduates, diversity of students, and more.
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Part-time undergraduates at Bethel University Minnesota paid an average of $1,620 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. Information about average full-time undergraduate tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $38,870 | $38,870 |
| Fees | $160 | $160 |
| Books and Supplies | $1,290 | $1,290 |
| On Campus Room and Board | $10,960 | $10,960 |
| On Campus Other Expenses | $2,710 | $2,710 |
Learn more about Bethel University Minnesota tuition and fees.
Online degrees for the Bethel University Minnesota data science, general bachelor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Bethel University Minnesota Online Learning page.
Of the students who received their bachelor’s degree in data science, general in 2019-2020, none of them were women.
Of those students who received a bachelor’s degree at Bethel University Minnesota in data science, general 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 | 0 |
| 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.
