by our College Data Analytics TeamThe main focus area for this major is Business Analytics. For more details on this concentration, visit its profile page.
Data Analytics is a major offered under the multi / interdisciplinary studies program of study at Xavier University. Here, you’ll find out more about the major master’s degree program in data analytics, including such details as the number of graduates, diversity of students, and more.
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During the 2019-2020 academic year, part-time graduate students at Xavier paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $12,060 | $12,060 |
| Fees | $16 | $16 |
Xavier does not offer an online option for its data analytics master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Xavier Online Learning page.
Women made up around 50.0% of the data analytics students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 42.5%.
Of those students who received a master’s degree at Xavier in data analytics 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 | 5 |
| International Students | 0 |
| Other Races/Ethnicities | 1 |
Data Analytics students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Business Analytics | 6 |
*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.