The main focus area for this major is Data Modeling/Warehousing & Database Administration. For more details on this concentration, visit its profile page.
Computer Software & Applications is a major offered under the computer and information sciences program of study at Austin Peay State University. Here, you’ll find out more about the major master’s degree program in computer software, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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In 2019-2020, the average part-time graduate tuition at Austin Peay State University was $727 per credit hour for out-of-state students. The average for in-state students was $450 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $8,100 | $13,086 |
Fees | $1,583 | $1,583 |
Online degrees for the Austin Peay State University computer software master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Austin Peay State University Online Learning page.
About 33.3% of the students who received their MS in computer software in 2019-2020 were women. This is less than the nationwide number of 44.3%.
Around 10.4% of computer software master’s degree recipients at Austin Peay State University in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 17%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 3 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 15 |
International Students | 28 |
Other Races/Ethnicities | 0 |
Computer Software & Applications students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Data Modeling/Warehousing & Database Administration | 48 |
*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.