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2023 Most Well Attended Data Science Major in California

4 Ranked Colleges
98 Degrees Awarded
$35,900 Avg Cost*
Most Well Attended Data Science Major in California

Students have lots of options to chooose from today when trying to decide which college to attend. 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 California” ranking - to help you make that decision.

In 2020-2021, 541 people earned their degree in data science, making the major the 282nd most popular in the United States.

Across California, there were 98 data science graduates with average earnings and debt of $0 and $0 respectively.

This year’s “Most Well Attended Data Science Major in California” ranking analyzed 4 colleges that offered a degree in data science. 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.

More Ways to Rank Data Science Schools

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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 California”.

We’ve created a tool called College Combat that lets you create your own customized comparisons based on the factors that matter the most 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.

Most Well Attended Data Science Major in California

The colleges and universities below are the best for california data science students.

1
Pacific crest
University of the Pacific
Stockton, California

Out of the 4 schools in the Most Well Attended Data Science Major in California that were part of this year’s ranking, University of the Pacific landed the #1 spot on the list. University of the Pacific is a medium-sized private not-for-profit school situated in Stockton, California. It awarded 50 ’s data science degrees in 2020-2021.

Students who start out at the school are likely to stick around. The freshman retention rate is 87%. The school has an impressive undergrad student loan default rate. It’s only 1.7%, which is much lower than the national rate of 10.1%.

Read full report on Data Science at University of the Pacific

2
PLNU crest
Point Loma Nazarene University
San Diego, California

You’ll be in good company if you decide to attend Point Loma Nazarene University. It ranked #2 on our 2023 Most Well Attended Data Science Major in California list. This small school is located in San Diego, California, and it awarded 0 ’s data science degrees in 2020-2021.

The school has an impressive undergrad student loan default rate. It’s only 2.0%, which is much lower than the national rate of 10.1%.

Full Point Loma Nazarene University Data Science Report

2
PUC crest
Pacific Union College
Angwin, California

Out of the 4 schools in the Most Well Attended Data Science Major in California that were part of this year’s ranking, Pacific Union College landed the #2 spot on the list. This small school is located in Angwin, California, and it awarded 0 ’s data science degrees in 2020-2021.

Full Pacific Union College Data Science Report

2
USD crest
University of San Diego
San Diego, California

You’ll join some of the best and brightest minds around if you attend University of San Diego. The school came in at #2 for the Most Well Attended Data Science Major in California. University of San Diego is a private not-for-profit institution located in San Diego, California. The school has a medium-sized population, and it awarded 0 ’s degrees in 2020-2021.

The low undergrad student loan default rate of 1.9% is a good sign that students have an easier time paying off their loans than they might at other schools. For comparison, the national default rate is 10.1%.

Read more about Data Science at USD

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Notes and References

References

Read more about our data sources and methodologies

Footnotes

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