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 - Eau Claire. 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 - Eau Claire paid an average of $1,003 per credit hour in 2019-2020. The average for in-state students was $446 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $8,027 | $18,061 |
Fees | $1,369 | $1,369 |
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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 - Eau Claire 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 - Eau Claire Online Learning page.
Of the students who received their master’s degree in data science in 2019-2020, 9.1% of them were women. This is less than the nationwide number of 32.5%.
Around 18.2% of data science master’s degree recipients at UW - Eau Claire in 2019-2020 were awarded to racial-ethnic minorities*. This is about the same as 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 | 8 |
International Students | 1 |
Other Races/Ethnicities | 1 |
Data Science students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Data Science, General | 11 |
*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.