2023 Best Value Computational Science Schools in New York
Highlighting Quality Schools With More Affordable Pricing
Finding the Best Computational Science School for You
Computational Science is the #180 most popular major in New York with 158 degrees and certificates awarded in 2020-2021.
It's not easy to decide which program to enroll in when you have so many options available. With more and more schools offering online options, you could even register for a great program on the other side of the country. On top of that, there are a considerable number of trade schools that offer fast-track entry to many fields.
To assist you in seeing some of the education options that are available to you, Course Advisor has created its Best Value Computational Science Schools in New York ranking. This report analyzed 3 schools in New York 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.
Our ranking of value is based on the quality of a program as defined in our per sticker price dollar. Specifically, our score for quality is discounted by the published tuition and fees charged by the given college. This gives the cost per unit of quality for each college. The more quality your dollar buys, the better the value.
In our regional and nationwide rankings, out-of-state tution and fees are used in our calculations. For statewide rankings, we use average in-state tuition and fees.
Best New York Schools for Affordable Quality in Computational Science
Our 2023 rankings named Stony Brook University the best value school in New York for computational science students. SUNY Stony Brook is a fairly large public school located in the large suburb of Stony Brook.
The average tuition and fees for an in-state undergraduate at SUNY Stony Brook are $10,455 a year.
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A rank of #2 on this year’s list means The City College of New York is a great value for computational science students. Located in the city of New York, CCNY is a public school with a fairly large student population.
The average tuition and fees for an in-state undergraduate at CCNY are $7,340 a year.
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Out of the 3 schools in New York that were part of this year’s ranking, New York University landed the # 3 spot on the list. NYU is a fairly large private not-for-profit school located in the city of New York.
The average tuition and fees for an in-state undergraduate at NYU are $56,500 a year.
On top of its placing in our value ranking, NYU also did well on our Best Computational Science Schools in New York list. It’s in the top 10% of all schools reviewed in this analysis.
Read full report on Computational Science at New York University
Request InformationBest Value Computational Science Colleges in the Middle Atlantic Region
Explore all the Best Value Computational Science Colleges in the Middle Atlantic Area or other specific states within that region.
| State | Degrees Awarded |
|---|---|
| Pennsylvania | 275 |
| New Jersey | 6 |
| District of Columbia | 96 |
| Delaware | 5 |
More Computational Science Rankings in New York
Computational Science Related Majors for Computational Science
Computational Science is one of 44 different types of programs to choose from.
Most Popular Related Majors
| Related Major | Annual Graduates |
|---|---|
| Other Multi/Interdisciplinary Studies | 34,975 |
| Biological & Physical Science | 30,075 |
| Interdisciplinary Studies | 9,074 |
| International Studies | 7,368 |
| Nutrition Science | 5,330 |
Notes and References
*These averages are for the top 3 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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