
[Medical Illustration & Informatics](/majors/health-care-professions/medical-illustration-informatics/) is a field worth comparing on the balance of cost and outcomes. The best values balance affordable tuition against strong post-graduation earnings.
College Factual analyzed 4 schools to build this 2026 ranking of the best value medical illustration & informatics schools.
What’s on this page:
If you want to know which schools deliver the best value for the medical illustration & informatics degrees they offer, see the list below.
For return on investment in medical illustration & informatics, no school beat Indiana University Purdue University Indianapolis this year. Located in the city of Indianapolis, Indiana University Purdue University Indianapolis is a very large public university. Students from in state pay about $10,762 in tuition and fees, compared with $34,891 for out-of-state students. Students borrow a median of $23,146 to complete the medical illustration & informatics program here. Medical Illustration & Informatics graduates of Indiana University Purdue University Indianapolis earn a median of $82,722 early in their careers. Weighed against typical debt, the earnings make a compelling case for value. Roughly 76% of applicants are accepted.
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Notes and References
This ranking is produced by College Factual (MF_RANKING_2025), 2026 edition. The methodology weighs the cost of a degree against the earnings graduates go on to achieve, drawn primarily from the U.S. Department of Education (IPEDS and College Scorecard).
Ranking method: College Major Best Value · 4 schools evaluated.
*Averages shown above reflect the top 1 ranked 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 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).
More about our data sources and methodologies.