The main focus area for this major is Data Science, General. For more details on this concentration, visit its profile page.
Data Science is a major offered under the multi / interdisciplinary studies program of study at University of Wisconsin - La Crosse. We’ve gathered data and other essential information about the master’s degree program in data science, such as diversity of students, how many students graduated in recent times, and more.
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Out-of-state part-time graduates at UW - La Crosse paid an average of $1,035 per credit hour in 2019-2020. The average for in-state students was $481 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $8,651 | $18,637 |
Fees | $1,401 | $1,401 |
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Advance your career as a data analytics professional with this online master's from Southern New Hampshire University.
If you’re interested in online learning, you’re in luck. UW - La Crosse does offer online classes in its data science master’s degree program. To see if the school offers distance learning options in other areas, visit the UW - La Crosse Online Learning page.
About 30.8% of the students who received their Master’s in data science in 2019-2020 were women. This is about the same as the countrywide number of 32.5%.
Of those graduates who received a master’s degree in data science at UW - La Crosse in 2019-2020, 7.7% were racial-ethnic minorities*. This is lower than the nationwide number of 18%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 22 |
International Students | 1 |
Other Races/Ethnicities | 2 |
Data Science students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Data Science, General | 26 |
*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.