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University of Nevada - Las Vegas MS in Data Processing Technology

4 Master's Degrees Awarded

Data Processing Technology is a concentration offered under the data processing major at University of Nevada - Las Vegas. We’ve pulled together some essential information you should know about the master’s degree program in data processing tech, including how many students graduate each year, the ethnic diversity of these students, and more.

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How Much Does a Master’s in Data Processing Tech from UNLV Cost?

$6,309 Average Tuition and Fees

UNLV Graduate Tuition and Fees

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. The following table shows the average full-time tuition and fees for graduate student.

In StateOut of State
Tuition$5,675$21,328
Fees$634$634

Does UNLV Offer an Online MS in Data Processing Tech?

Online degrees for the UNLV data processing tech 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.

UNLV Master’s Student Diversity for Data Processing Tech

4 Master's Degrees Awarded
100.0% Women
In the 2019-2020 academic year, 4 students received their master’s degree in data processing tech. The gender and racial-ethnic breakdown of those individuals is shown below.

Male-to-Female Ratio

Of the students who received their master’s degree in data processing tech in 2019-2020, all of them were women.

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Racial-Ethnic Diversity

None of the data processing tech master’s degree recipients at UNLV in 2019-2020 were awarded to racial-ethnic minorities*.

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Race/EthnicityNumber of Students
Asian0
Black or African American0
Hispanic or Latino0
Native American or Alaska Native0
Native Hawaiian or Pacific Islander0
White1
International Students3
Other Races/Ethnicities0

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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