by our College Data Analytics TeamThe main focus area for this major is Data Processing Technology. For more details on this concentration, visit its profile page.
Data Processing is a major offered under the computer and information sciences program of study at University of San Francisco. Here, you’ll find out more about the major master’s degree program in data processing, 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 USFCA 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 | $26,640 | $26,640 |
| Fees | $70 | $70 |
Online degrees for the USFCA data processing master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the USFCA Online Learning page.
About 54.2% of the students who received their MS in data processing in 2019-2020 were women. This is higher than the nationwide number of 47.7%.
Around 24.1% of data processing master’s degree recipients at USFCA in 2019-2020 were awarded to racial-ethnic minorities*. This is about the same as the nationwide number of 23%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 14 |
| Black or African American | 0 |
| Hispanic or Latino | 3 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 17 |
| International Students | 46 |
| Other Races/Ethnicities | 3 |
Data Processing students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Data Processing Technology | 83 |
You may also be interested in one of these majors related to data processing.
| Related Major | Annual Graduates |
|---|---|
| Computer Information Systems | 20 |
| Computer Science | 38 |
*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.