by our College Data Analytics Team
With all of the options students have for higher education today, it can be tough to choose which direction to take. Our mission at College Factual is to arm you with as much information as we can to help you make that decision. Our “Most Well Attended Data Processing Major in Mississippi” ranking is one tool we have developed to help in this regard.
Data Processing is the 225th most popular major in the country with 1,955 degrees awarded in 2020-2021. In 2019-2020, data processing graduates who were awarded their degree in 2017-2019, earned an average of $36,777 and had an average of $18,195 in loans still to pay off.
Across Mississippi, there were 29 data processing graduates with average earnings and debt of $38,705 and $0 respectively.
This ranking identifies schools that graduate the most students in data processing.
Check out our ranking methodology for more information.
The data processing school you choose to invest your time and money in matters. To help you make the decision that is right for you, we’ve developed a number of major-specific rankings, including this list of “Most Well Attended Data Processing Major in Mississippi”.
In addition to our rankings, you can take two colleges and compare them based on the criteria that matters most to you in our unique tool, College Combat. If you’re torn between two schools, you can use it to help you see how they stack up against one another. Bookmark it so you can compare any new schools that might interest you.
The following schools top our list of the Best “Most Well Attended Data Processing Major in Mississippi”.
You’ll be in good company if you decide to attend University of Southern Mississippi. It ranked #1 on our 2023 Most Well Attended Data Processing Major in Mississippi list. University of Southern Mississippi is a fairly large public school situated in Hattiesburg, Mississippi. It awarded 29 ’s data processing degrees in 2020-2021.
Full University of Southern Mississippi Data Processing Report
Read more about our data sources and methodologies
