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Best Value Computational Science Schools in Indiana

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2023 Best Value Computational Science Schools in Indiana

Identifying Quality Schools at More Affordable Prices

2 Colleges
$35,088 Avg Tuition & Fees*
$80,702 Avg Salary

Finding the Best Computational Science School for You

Computational Science is the #34 most popular major in Indiana with 226 degrees and certificates awarded in 2020-2021.

When it comes to higher education, there are a lot of options for students. As online education oppotunities continue to grow, you're not restricted to just schools in your local area anymore. Even some of the 'big name' schools are offering online courses. Also, there are a number of trade schools with offerings that you might find attractive.

To assist you in seeing some of the education options that are available to you, Grad Degree Search has created its Best Value Computational Science Schools in Indiana ranking. This report analyzed 2 schools in Indiana to see which ones offered the best value programs for computational science students. The goal was to highlight schools with more affordable prices than others offering similar quality experiences.

This ranking is not just a list of inexpensive schools. We also consider each school's quality, since we believe a low-quality school may not be a 'bargain' at any price. More specifically, we discount our quality score by the published tuition and fees charged by a school. This gives the cost per unit of quality for each college. The value is determined by how much quality your dollar buys.

For nationwide and regional rankings, we use out-of-state tuition and fees in our calculations. Average in-state tuition and fees are used for our statewide rankings.

2023 Best Value Computational Science Schools in Indiana

Check out the computational science programs at these schools if you want to get the best value for your educational dollar.

Best Indiana Schools for Affordable Quality in Computational Science

$11,333 Average Tuition & Fees

Our 2023 rankings named Indiana University - Bloomington the best value school in Indiana for computational science students. IU Bloomington is a fairly large public school located in the city of Bloomington.

In-state tuition fees for undergraduate students at IU Bloomington are $11,333 per year.

IU Bloomington also made our Best Computational Science Schools in Indiana list, coming in at #3.

Read More…

#2

University of Notre Dame

Notre Dame, IN
$58,843 Average Tuition & Fees

Out of the 2 schools in Indiana that were part of this year’s ranking, University of Notre Dame landed the # 2 spot on the list. Located in the large suburb of Notre Dame, Notre Dame is a private not-for-profit college with a fairly large student population.

Notre Dame undergraduate students pay an average of $58,843 in in-state tuition and fees each year.

Notre Dame not only placed well in our value ranking, but it is also #1 on our Best Computational Science Schools in Indiana list.

Full Computational Science at University of Notre Dame Report

Best Value Computational Science Colleges in the Great Lakes Region

Explore all the Best Value Computational Science Colleges in the Great Lakes Area or other specific states within that region.

State Degrees Awarded
Michigan 66
Wisconsin 8

One of 36 majors within the area of study, computational science has other similar majors worth exploring.

Related Major Annual Graduates
Other Multi/Interdisciplinary Studies 2,491
Sustainability Science 1,547
Nutrition Science 1,496
Behavioral Science 1,358
International Studies 918

Notes and References

*These averages are for the top 2 schools only.

  • The Integrated Postsecondary Education Data System (IPEDS) from the National Center for Education Statistics (NCES), a branch of the U.S. Department of Education (DOE) serves as the core of the rest of our data about colleges.
  • Some other college data, including much of the graduate earnings data, comes from the U.S. Department of Education’s (College Scorecard).
  • Credit for the banner image above goes to Yearofthedragon.

More about our data sources and methodologies.

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