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 Seattle Pacific 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 SPU was $886 per credit hour for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $31,896 | $31,896 |
SPU does not offer an online option for its computer software master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the SPU Online Learning page.
Of the students who received their master’s degree in computer software in 2019-2020, all of them were women.
None of the computer software master’s degree recipients at SPU in 2019-2020 were awarded to 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 | 0 |
International Students | 1 |
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 | 1 |
You may also be interested in one of these majors related to computer software and applications.
Related Major | Annual Graduates |
---|---|
Computer Information Systems | 3 |
Information Technology | 4 |
*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.