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 Nevada - Las Vegas. We’ve gathered data and other essential information about the master’s degree program in data processing, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time graduate tuition at UNLV was $624 per credit hour for out-of-state students. The average for in-state students was $297 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $5,675 | $21,328 |
| Fees | $634 | $634 |
Online degrees for the UNLV 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 UNLV Online Learning page.
Of the students who received their master’s degree in data processing in 2019-2020, all of them were women.
Of those students who received a master’s degree at UNLV in data processing 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 | 1 |
| International Students | 3 |
| Other Races/Ethnicities | 0 |
Data Processing students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Data Processing Technology | 4 |
You may also be interested in one of these majors related to data processing.
| Related Major | Annual Graduates |
|---|---|
| Computer Science | 12 |
| Information Technology | 47 |
*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.