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 AI Major in Michigan for a Bachelor’s” ranking - to help you make that decision.
In 2020-2021, 518 people earned their degree in artificial intelligence, making the major the 599th most popular in the United States.
Across Michigan, there were 0 artificial intelligence graduates with average earnings and debt of $0 and $0 respectively. At the bachelor’s degree level specifically, there were 0 artificial intelligence graduates with average earnings and debt of $41,004 and $27,379 respectively.
This ranking identifies schools that graduate the most students in artificial intelligence.
For more information, check out our ranking methodology.
The ai 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 AI Major in Michigan for a Bachelor’s”.
In addition to College Factual’s rankings, you may want to take a look at College Combat, our unique tool that lets you pit your favorite schools head-to-head and compare how they rate on factors that most interest you. When you have some time, check it out - you may want to bookmark the link so you don’t forget it.
The following schools top our list of the Best “Most Well Attended AI Major in Michigan for a Bachelor’s”.
You’ll be in good company if you decide to attend Ferris State University. It ranked #1 on our 2023 Most Well Attended AI Major in Michigan for a Bachelor’s list. Ferris State University is located in Big Rapids, Michigan and, has a fairly large student population. In 2020-2021, this school awarded 0 bachelors’s AI degrees to qualified students.
Read full report on Artificial Intelligence at Ferris State University
Read more about our data sources and methodologies