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Best Value Computer Systems Analysis Schools in New York

2023 Best Value Computer Systems Analysis Schools in New York

Identifying Quality Schools at More Affordable Prices

2 Colleges
$31,931 Avg Tuition & Fees*
$47,609 Avg Salary

Finding the Best Computer Systems Analysis School for You

Computer Systems Analysis is the #243 most popular major in New York with 60 degrees and certificates awarded in 2020-2021.

With all the programs available today, it can be tough to choose which one is the best for you. As online education oppotunities continue to grow, you're not restricted to just schools in your local area anymore. Even some of the 'big name' schools are offering online courses. Also, there are a number of trade schools with offerings that you might find attractive.

The Best Value Computer Systems Analysis Schools in New York ranking is one of many tools that Course Advisor has developed to help you make your educational decision. Our analysis looked at 2 schools in New York to see which programs offered the best value experiences for computer systems students with the aim of identifying those quality schools that are more affordable than some of their counterparts.

Our ranking of value is based on the quality of a program as defined in our per sticker price dollar. More specifically, we discount our quality score by the published tuition and fees charged by a school. This gives the cost per unit of quality for each college. The value is determined by how much quality your dollar buys.

In our regional and nationwide rankings, out-of-state tution and fees are used in our calculations. Average in-state tuition and fees are used for our statewide rankings.

Best New York Schools for Affordable Quality in Computer Systems Analysis

$15,032 Average Tuition & Fees

Our 2023 rankings named DeVry College of New York the best value school in New York for computer systems analysis students. Located in the large city of New York, DeVry College of New York-Midtown Manhattan is a private for-profit college with a small student population.

In-state tuition fees for undergraduate students at DeVry College of New York-Midtown Manhattan are $15,032 per year. While working on their degree, computer systems majors at DeVry College of New York-Midtown Manhattan accumulate an average of around $48,705 in student debt. For students who choose a 10-year repayment plan, the average monthly student loan payment is $242.

Read full report on Computer Systems Analysis at DeVry College of New York

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$48,830 Average Tuition & Fees

You’ll be in good company if you decide to attend Pace University - New York. It ranked #2 on our 2023 Best Value Computer Systems Analysis Schools in New York list. Pace University is a fairly large private not-for-profit school located in the large city of New York.

Pace University undergraduate students pay an average of $48,830 in in-state tuition and fees each year.

Read full report on Computer Systems Analysis at Pace University - New York

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Best Value Computer Systems Analysis Colleges in the Middle Atlantic Region

Explore all the Best Value Computer Systems Analysis Colleges in the Middle Atlantic Area or other specific states within that region.

State Degrees Awarded
Pennsylvania 50
Maryland 6
New Jersey 17

One of 10 majors within the area of study, computer systems analysis has other similar majors worth exploring.

Related Major Annual Graduates
Computer Information Systems 88,434
Computer Science 59,565
Information Technology 40,555
Information Science 18,325
Computer Systems Networking 14,700

Notes and References

*These averages are for the top 2 schools only.

  • The Integrated Postsecondary Education Data System (IPEDS) from the National Center for Education Statistics (NCES), a branch of the U.S. Department of Education (DOE) serves as the core of the rest of our data about colleges.
  • Some other college data, including much of the graduate earnings data, comes from the U.S. Department of Education’s (College Scorecard).
  • Credit for the banner image above goes to Louv.

More about our data sources and methodologies.

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