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Data Science at University of Wisconsin - La Crosse

Data Science at University of Wisconsin - La Crosse

If you are interested in studying data science, you may want to check out the program at University of Wisconsin - La Crosse. The following information will help you decide if it is a good fit for you.

UW - La Crosse is located in La Crosse, Wisconsin and has a total student population of 10,531.

Want to know more about the career opportunities in this field? Check out the Careers in Data Science section at the bottom of this page.

UW - La Crosse Data Science Degrees Available

  • Master’s Degree in Data Science

UW - La Crosse Data Science Rankings

Data Science Student Demographics at UW - La Crosse

Take a look at the following statistics related to the make-up of the data science majors at University of Wisconsin - La Crosse.

UW - La Crosse Data Science Master’s Program

22% Women
13% Racial-Ethnic Minorities*
For the most recent academic year available, 78% of data science master's degrees went to men and 22% went to women.

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Of the students who received a data science master's degree from UW - La Crosse, 74% were white. This is above average for this degree on the natiowide level.

The following table and chart show the race/ethnicity for students who recently graduated from University of Wisconsin - La Crosse with a master's in data science.

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Race/Ethnicity Number of Students
Asian 1
Black or African American 0
Hispanic or Latino 1
White 17
International Students 3
Other Races/Ethnicities 1

Concentrations Within Data Science

If you plan to be a data science major, you may want to focus your studies on one of the following concentrations. The table shows all degrees awarded in this field awarded for all degree levels at University of Wisconsin - La Crosse. A concentration may not be available for your level.

Concentration Annual Degrees Awarded
Data Science, General 29

References

*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.

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