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Data Science in Michigan

Data Science Schools in Michigan

In 2022-2023, 300 students earned their Data Science degrees in MI.

A Data Science major is the 284th most popular major in this state.

Education Levels of Data Science Majors in Michigan

Data Science majors in the state tend to have the following degree levels:

Education Level Number of Grads
Bachelor’s Degree 154
Master’s Degree 100
Post-Master’s Certificate 43
Postbaccalaureate Certificate 43
Award Taking Less Than 1 Year 3

Gender Distribution

In Michigan, a data science major is more popular with men than with women.

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Racial Distribution

The racial distribution of data science majors in Michigan is as follows:

  • Asian: 13.3%
  • Black or African American: 0.3%
  • Hispanic or Latino: 3.0%
  • White: 26.0%
  • Non-Resident Alien: 51.0%
  • Other Races: 6.3%
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Jobs for Data Science Grads in Michigan

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Wages for Data Science Jobs in Michigan

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There are 2 colleges in Michigan that offer data science degrees. Learn about the most popular 2 below:

#1

Calvin University

Grand Rapids
3 Degrees in Major Awarded
75% Graduation Rate
3,307 Total Students

12 to 1 is the student to faculty ratio. Of all the students who attend this school, 100% get financial aid. The average student takes 4.19 years to complete their degree at Calvin.

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#2

Eastern Michigan University

Ypsilanti
2 Degrees in Major Awarded
47% Graduation Rate
16,294 Total Students

The average student takes 4.74 years to complete their degree at Eastern Michigan. The full-time teacher rate is 99%. Students who attend this public school pay an average net price of $15,472.

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Below are some popular majors in the state that are similar to data science.

Major Annual Graduates in MI
Other Interdisciplinary Studies 608
International Studies 334
Cognitive Science 149
Nutrition Science 118
Sustainability Science 101
Biological & Physical Science 87
Computational Science 69
Mathematics & Computer Science 37

View all majors related to Data Science

View Nationwide Data Science Report

References

More about our data sources and methodologies.

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