2023 Most Popular Data Processing Schools in South Carolina
Finding the Best Data Processing School for You
Data Processing is one of the most popular subjects to study in South Carolina. With 310 degrees and certificates handed out in 2020-2021, it ranked 2nd out of all the majors we track in the state.
With all the computer science programs available today, it can be tough to choose which one is the best for you. You're no longer limited to schools in your local area, either, since online programs are becoming more prevalent. Or you may find the programs at a trade school to be a better alternative for you.
Along with in-depth profiles of schools and the programs they offer, Computer Science Degree Search has created the Most Popular Data Processing Schools in South Carolina to help you in your search for the best school for you. Our analysis looked at 16 schools in South Carolina to see which programs were the most popular for computer science 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 Schools in South Carolina
The colleges and universities below are the most popular for data processing majors pursuing a .
Top 10 Most Popular Data Processing Schools
Our 2023 rankings named Trident Technical College the most popular school in South Carolina for data processing students. Located in the midsize city of Charleston, Trident Technical College is a public college with a large student population.
On average, data processing graduates from Trident Technical College take out $25,473 in student loans while working on their degree.
You’ll join some of the best and brightest minds around you if you attend York Technical College. The school came in at #2 on this year’s Most Popular Data Processing Schools in South Carolina list. York Technical College is a small public school located in the city of Rock Hill.
After completing their degree, data processing graduates from York Technical College carry an average student debt load of $11,500.
Read full report on Data Processing at York Technical College
You’ll be in good company if you decide to attend Greenville Technical College. It ranked #3 on our 2023 Most Popular Data Processing Schools in South Carolina list. GTC is a medium-sized public school located in the small city of Greenville.
After completing their degree, data processing graduates from GTC carry an average student debt load of $27,690.
The excellent programs at Piedmont Technical College helped the school earn the #4 place on this year’s ranking of the best data processing schools in South Carolina. Piedmont Technical College is a small public school located in the town of Greenwood.
Data Processing majors at Piedmont Technical College take out an average of $16,143 in student loans while working on their egree.
Out of the 16 schools in South Carolina that were part of this year’s ranking, Orangeburg Calhoun Technical College landed the # 4 spot on the list. Located in the rural area of Orangeburg, OCtech is a public college with a small student population.
Read full report on Data Processing at Orangeburg Calhoun Technical College
With a ranking of #6, Horry-Georgetown Technical College did quite well on this year’s most popular schools for data processing students. Horry-Georgetown Technical College is a medium-sized public school located in the city of Conway.
While working on their degree, data processing majors at Horry-Georgetown Technical College accumulate an average of around $17,500 in student debt.
Tri-County Technical College landed the #6 spot in the 2023 rankings for the most popular data processing programs. TCTC is a moderately-sized public school located in the suburb of Pendleton.
On average, data processing graduates from TCTC take out $14,885 in student loans while working on their degree.
Read full report on Data Processing at Tri-County Technical College
Spartanburg Community College came in at #8 in this year’s edition of the Most Popular Data Processing Schools in South Carolina ranking. Located in the midsize suburb of Spartanburg, Spartanburg Community College is a public college with a moderately-sized student population.
With a ranking of #9, Midlands Technical College did quite well on this year’s most popular schools for data processing students. Located in the suburb of West Columbia, MTC is a public college with a moderately-sized student population.
On average, data processing graduates from MTC take out $11,375 in student loans while working on their degree.
Central Carolina Technical College landed the #10 spot in the 2023 rankings for the most popular data processing programs. Central Carolina is a small public school located in the city of Sumter.
Best Data Processing Colleges in the Southeast Region
Explore all the Most Popular Data Processing Colleges in the Southeast Area or other specific states within that region.
| State | Degrees Awarded |
|---|---|
| West Virginia | 44 |
| Louisiana | 45 |
| Georgia | 124 |
| Mississippi | 29 |
| Arkansas | 18 |
Majors Related to Data Processing
One of 10 majors within the computer science area of study, data processing has other similar majors worth exploring.
Data Processing Focus Areas
| Major | Annual Graduates |
|---|---|
| Data Processing Technology | 1,955 |
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 16 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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