2023 Most Popular Data Processing Undergraduate Certificate Schools in New York
Finding the Best Data Processing Undergraduate Certificate School for You
In 2020-2021, 166 degrees and certificates were awarded to data processing students who went to a New York college or university. This makes it the #175 most popular major in the state.
It's not easy to decide which program to enroll in when you have so many options available. 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.
To assist you in seeing some of the education options that are available to you, Course Advisor has created its Most Popular Data Processing Undergraduate Certificate Schools in New York ranking. This report analyzed 5 schools in New York to see which ones were the most popular undergraduate certificate programs for students. To create this ranking we looked at how many students graduated from the Data Processing program at each school on the list.
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2023 Most Popular Data Processing Undergraduate Certificate Schools in New York
The following schools top our list of the Most Popular Data Processing Undergraduate Certificate Colleges.
Most Popular New York Schools for an Award Taking 1 to 4 Years in Data Processing
Our analysis found Farmingdale State College to be the most popular school for data processing students who want to pursue a undergraduate certificate in New York. SUNY College of Technology at Farmingdale is a medium-sized public school located in the large suburb of Farmingdale.
Of the 2 students majoring in data processing at SUNY College of Technology at Farmingdale, 50% are male and 50% are female.
A rank of #2 on this year’s list means Queensborough Community College is a great place for data processing students working on their undergraduate certificate. Located in the large city of Bayside, QCC is a public college with a large student population.
A rank of #3 on this year’s list means Nassau Community College is a great place for data processing students working on their undergraduate certificate. Located in the large suburb of Garden City, Nassau Community College is a public school with a fairly large student population.
Out of the 5 schools in New York that were part of this year’s ranking, Rockland Community College landed the # 3 spot on the list. Located in the large suburb of Suffern, Rockland Community College is a public school with a medium-sized student population.
You’ll be in good company if you decide to attend University at Buffalo. It ranked #3 on our 2023 Most Popular Data Processing Undergraduate Certificate Schools in New York list. Located in the large suburb of Buffalo, University at Buffalo is a public school with a fairly large student population.
Best Data Processing Colleges in the Middle Atlantic Region
Explore all the Most Popular Data Processing Schools in the Middle Atlantic Area or other specific states within that region.
| State | Degrees Awarded |
|---|---|
| Pennsylvania | 4 |
| Maryland | 0 |
| New Jersey | 2 |
| District of Columbia | 2 |
Data Processing Related Majors
Data Processing is one of 10 different types of programs to choose from.
Most Popular Majors Related to Data Processing
| 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 5 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 Kenneth Jensen.
More about our data sources and methodologies.
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