by our College Data Analytics Team
When pursuing a degree in today’s world, students have many different options to choose from. 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 North Dakota” ranking is one tool we have developed to help in this regard.
In 2020-2021, 1,955 people earned their degree in data processing, making the major the 225th most popular in the United States. 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 North Dakota, there were 8 data processing graduates with average earnings and debt of $0 and $0 respectively.
The schools that top this list are recognized because they have one of the most popular data processing programs in the United States.
For more information, check out our ranking methodology.
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 North Dakota”.
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. We encourage you to try it out and pit your favorite colleges and universities head to head! If you don’t have time right now, you can bookmark it for later.
The following schools top our list of the Best “Most Well Attended Data Processing Major in North Dakota”.
You’ll be in good company if you decide to attend Dickinson State University. It ranked #1 on our 2023 Most Well Attended Data Processing Major in North Dakota list. Dickinson State University is located in Dickinson, North Dakota and, has a small student population. In 2020-2021, this school awarded 8 ’s data processing degrees to qualified students.
Read more about our data sources and methodologies
