Biomathematics, Bioinformatics, and Computational Biology
Compiled by PlainCollege, College outcomes data analysis
139
Schools
Master's
Credential Level
$118,243
National Avg Earnings
What the IPEDS & College Scorecard Data Shows for Biomathematics, Bioinformatics, and Computational Biology
Biomathematics, Bioinformatics, and Computational Biology is tracked across 139 U.S. postsecondary institutions in the College Scorecard field-of-study file, which links CIP code classifications from IPEDS to Treasury earnings records. This profile covers the master's credential level specifically, because the Department of Education reports program-level outcomes separately for associate, bachelor’s, master’s, and doctoral awards. The CIP (Classification of Instructional Programs) taxonomy lets analysts roll up specialties into broader families, which is why earnings medians across schools can be compared on a common basis.
Across all reporting institutions, the mean of school-level medians is $118,243, calculated from 13 schools with published earnings data. The earnings distribution stretches from $94,431 at the low end to $166,264 at the top, with a 25th-75th percentile band between $104,263 and $126,821 around a median of $111,725. The top-reporting institution in this program is Columbia University in the City of New York at $166,264. These numbers reflect Treasury-derived wages, deferred compensation, and positive self-employment earnings four years after completion for federally aided completers who were working and not enrolled.
Variation across schools matters more than a single national figure. Completer counts and earnings cohort counts are distinct source fields, so the displayed completer count should not be assumed to be the earnings denominator. PlainCollege's debt-to-earnings ratio divides median federal debt by annual median earnings as a descriptive comparison; it is not the Department's formal gainful-employment test. Use the school-by-school table to compare reported outcomes while accounting for cohort size, suppression, program mix, and location.
Columbia University in the City of New York accounts for 15.4% of all Biomathematics, Bioinformatics, and Computational Biology master's credential graduates
That concentration — well above the 5% national median for largest-entity share means Biomathematics, Bioinformatics, and Computational Biology-wide averages can mask meaningful variation outside the largest entity, though the remaining entities individually still carry a share worth reading on their own. That school produced 126 graduates in the most recent cohort, anchoring a meaningful slice of national supply for this field. Even a notable-but-not-dominant share like this is enough to skew a simple Biomathematics, Bioinformatics, and Computational Biology-wide average away from what a typical smaller entity looks like.
Biomathematics, Bioinformatics, and Computational Biology master's credential median debt varies 2.3× across entities
Biomathematics, Bioinformatics, and Computational Biology master's credential median debt ranges from $26,133 (lowest) to $60,000 (highest), a spread of $33,867. That spread reflects typical institutional cost differences, public in-state, public out-of-state, and private school financing models produce predictable spreads. Median debt counts only those students who borrowed federal loans, students who paid out-of-pocket or received institutional grants are excluded from the borrower median, which can flatter low-debt schools.
Biomathematics, Bioinformatics, and Computational Biology debt-to-earnings ratio is 0.38 — low (typically associated with graduates earn substantially more than they borrowed, which is the College Scorecard standard signal for affordability, a ratio under 0.5 means a year of post-completion earnings would clear half the federal-loan principal)
debt-to-earnings ratio is the simplest comparative metric but it does not capture the full picture: this ratio uses federal loan principal, not all education debt, private loans, parent PLUS loans not in the borrower’s name, and institutional debt are excluded Lower values often correlate with smaller scale and population characteristics rather than higher resource budgets per se.
Earnings trajectory. For the 11 schools reporting both horizons, median earnings are
51% higher four years after completion than one year
after. That is the same graduates measured twice, not two different groups, so it
describes how pay develops early in the career rather than a difference between schools.
A school missing from this count reports only one horizon.
Awards and earnings come from different reference periods, so they are not a count and an
average of the same people. Awards is the number of credentials the school reported for the
latest IPEDS year; median earnings is measured four years after completion, for a separate
pooled cohort of earlier graduates. A school can therefore report zero awards in the latest
year and still have earnings on record. The earnings figure is not the awards figure’s
average, and the awards count is not the earnings sample size. Schools are ranked on the
four-year earnings figure only, so every row is compared on the same basis.
Compare beyond the CIP family
Nationwide peers by school count & four-year earnings
Cross-field programs at the same credential level nearest Biomathematics, Bioinformatics, and Computational Biology on school-count breadth
(139 schools) and mean four-year median earnings ($118,243).
Peers exclude the same two-digit CIP family so neighborhoods are not CIP-containment siblings.
School-count peers include Business/Commerce, General, Management Information Systems and Services, Design and Applied Arts. Earnings peers include Finance and Financial Management Services, Mechanical Engineering, Computer/Information Technology Administration and Management.
Neighborhoods are forced disjoint so each axis surfaces a different set of programs.
Similar school count
Nearest programs (≥50 schools) by absolute school-count breadth, outside this CIP family.
How much do Biomathematics, Bioinformatics, and Computational Biology graduates earn? ▼
Biomathematics, Bioinformatics, and Computational Biology graduates earn $118,243 on average four years after completion, across the 13 of 139 schools that report earnings for this program. Earnings range from $94,431 to $166,264 depending on the institution.
Which school's Biomathematics, Bioinformatics, and Computational Biology graduates earn the most? ▼
Columbia University in the City of New York has the highest reported median earnings for Biomathematics, Bioinformatics, and Computational Biology graduates at $166,264, measured four years after completion in College Scorecard data. This reflects what graduates went on to earn, which depends heavily on who the school admits and which employers recruit there. It is not a figure the school pays.
What credential do you get in Biomathematics, Bioinformatics, and Computational Biology? ▼
Biomathematics, Bioinformatics, and Computational Biology programs typically award a Master's credential. Earnings vary by school and credential level.
Top Schools for Biomathematics, Bioinformatics, and Computational Biology
Closest schools offering this program – compare earnings side by side
Earnings data comes from the U.S. Department of Education College Scorecard Field of Study file retrieved in March 2026. The program metric displayed here represents federally aided completers who were working and not enrolled four years after credential completion, using Treasury-derived records published through the Scorecard. Completer counts and debt figures come from the same field-of-study snapshot; the Department refreshes components on schedules documented in its changelog, not one fixed annual date.