Computer & Information Sciences is a program of study at The University of Texas Rio Grande Valley. The school offers a master’s degree in the area. We’ve pulled together some essential information you should know about the master’s degree program in computer and information sciences, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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During the 2019-2020 academic year, part-time graduate students at UT Rio Grande Valley paid an average of $776 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $367 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 | $6,458 | $13,820 |
Fees | $1,331 | $1,331 |
UT Rio Grande Valley does not offer an online option for its computer and information sciences master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UT Rio Grande Valley Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 10.0% of them were women. This is less than the nationwide number of 33.2%.
Of those graduates who received a master’s degree in computer and information sciences at UT Rio Grande Valley in 2019-2020, 80.0% were racial-ethnic minorities*. This is higher than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 2 |
Black or African American | 0 |
Hispanic or Latino | 14 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 1 |
Other Races/Ethnicities | 1 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 9 |
Computer Science | 11 |
*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.