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Computer Software & Applications at Kennesaw State University

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Computer Software & Applications at Kennesaw State University

Every computer software and applications school has its own distinct culture and strengths. We've pulled together some statistics and other details to help you see how the computer software program at Kennesaw State University stacks up to those at other schools.

KSU Georgia is located in Kennesaw, Georgia and has a total student population of 41,181.

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.

KSU Georgia Computer Software & Applications Degrees Available

Online Classes Are Available at KSU Georgia

If you are a working student or have a busy schedule, you may want to consider taking online classes. While these classes used to be mostly populated by returning adults, more and more traditional students are turning to this option.

For those who are interested in distance learning, KSU Georgia does offer online courses in computer software for the following degree levels:

KSU Georgia Computer Software & Applications Rankings

Note: Rankings don't always give a complete picture of a school's strengths and weaknesses, so it's a good idea to extend your research and also look at other factors when trying to decide if the school is right for you.

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 GA, the home state for Kennesaw State University.

Occupation Jobs in GA Average Salary in GA
Software Applications Developers 30,440 $105,240
Graphic Designers 6,400 $54,260
Computer Programmers 5,460 $92,390
Database Administrators 4,280 $92,090
Web Developers 2,510 $80,090

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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