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. One of our goals at College Factual is to give you as much information as we can - such as our “Most Well Attended Data Science Major in Connecticut for a Bachelor’s” ranking - to help you make that decision.
Data Science is the 282nd most popular major in the country with 541 degrees awarded in 2020-2021.
Across Connecticut, there were 0 data science graduates with average earnings and debt of $0 and $0 respectively. At the bachelor’s degree level specifically, there were 0 data science graduates with average earnings and debt of $42,551 and $25,342 respectively.
To top this list, a school must have a successful data science program that graduates more students in the field than other colleges that offer the same major.
Check out our ranking methodology for more information.
The data science 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 Science Major in Connecticut for a Bachelor’s”.
One of our other unique offerings is College Combat. This tool lets you build your own customized comparisons utilizing the factors that are most important to you. Test it out by comparing your favorite schools against others you are considering, or bookmark the tool so you can experiment with it later.
The colleges and universities below are the best for connecticut bachelor’s degree data science students.
Out of the 1 schools in the Most Well Attended Data Science Major in Connecticut for a Bachelor’s that were part of this year’s ranking, Southern Connecticut State University landed the #1 spot on the list. New Haven, Connecticut is the setting for this medium-sized institution of higher learning. The public school handed out bachelors’s data science degrees to 0 students in 2020-2021.
Read more about our data sources and methodologies