Computer Software & Applications at School of Visual Arts
If you plan to study computer software and applications, take a look at what School of Visual Arts has to offer and decide if the program is a good match for you. Get started with the following essential facts.SVA is located in New York, New York and approximately 3,692 students attend the school each year. During the 2020-2021 academic year, 53 students received their master's degree in computer software.
Want to know more about the career opportunities in this field? Check out the Careers in Computer Software & Applications section at the bottom of this page.
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SVA Computer Software & Applications Degrees Available
- Master’s Degree in Computer Software
SVA Computer Software & Applications Rankings
Computer Software Student Demographics at SVA
Take a look at the following statistics related to the make-up of the computer software majors at School of Visual Arts.
SVA Computer Software & Applications Master’s Program
The following table and chart show the race/ethnicity for students who recently graduated from School of Visual Arts with a master's in computer software.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 4 |
| Black or African American | 0 |
| Hispanic or Latino | 3 |
| White | 1 |
| International Students | 45 |
| Other Races/Ethnicities | 0 |
Related Majors
Careers That Computer Software Grads May Go Into
A degree in computer software can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for NY, the home state for School of Visual Arts.
| Occupation | Jobs in NY | Average Salary in NY |
|---|---|---|
| Software Applications Developers | 52,640 | $116,830 |
| Graphic Designers | 21,350 | $64,840 |
| Computer Programmers | 15,380 | $91,250 |
| Web Developers | 12,030 | $79,880 |
| Database Administrators | 7,100 | $99,000 |
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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