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Major · Mathematics & Statistics

Applied math is math built for the real world

Applied Mathematics, General (CIP 27.0301) trains you in modeling, numerical methods, optimization, and computation rather than abstract proof. Roughly 2,591 bachelor’s degrees are awarded each year across 192 institutions, with five-year median earnings near $94,637 — though the spread by industry is wide.

Schools offering
192
Annual completions
2,591
Typical degree level
Bachelor's
Median earnings (5yr)
$95k

About this major

Applied Mathematics, General (CIP 27.0301) is the version of math that points outward — at engineering systems, financial markets, biological models, and physical phenomena — rather than inward toward proof for its own sake. The core curriculum runs through calculus, linear algebra, differential equations, probability, and numerical analysis, and most programs layer on optimization, mathematical modeling, and scientific computing in MATLAB, Python, or R. You will still write proofs, especially in real analysis, but the center of gravity is using mathematics to solve problems someone outside the math department actually has.

The major fits students who like building models, breaking real systems into equations, and chasing down why a numerical solver is producing the wrong answer. It tends to attract people who could have majored in physics, engineering, or computer science and chose math because they wanted the underlying machinery rather than a single application domain. That breadth is the trade-off: graduates leave with tools that travel anywhere, but they have to choose a destination — finance, tech, actuarial work, scientific computing, biotech, or graduate school — through internships and electives.

Nationally, about 2,591 bachelor’s degrees are awarded each year across 192 institutions, with five-year median earnings near $94,637. That figure sits well above many liberal-arts averages but masks wide variance: graduates in quantitative finance and tech can clear it early, while those headed toward research or teaching may not. Program reputation, faculty research, and student initiative tend to drive outcomes more than the major name itself.

Section 3 · Careers

Where this major leads

Occupations most often associated with this major, from the federal BLS+O*NET crosswalk. Job-growth projections and median wages are national.

Occupation Median wage Job growth Typical education
Data scientists $113k +33.5% Bachelor's degree
Natural sciences managers $161k +3.7% Bachelor's degree
Mathematical science teachers, postsecondary $79k +2.3% Doctoral or professional degree
Actuaries $126k +21.8% Bachelor's degree
Statisticians $103k +8.5% Master's degree
Mathematical science occupations, all other $71k +4.0% Bachelor's degree
Mathematicians $122k -0.7% Master's degree
Section 4 · Earnings

Earnings at a glance

Median graduate earnings from the federal College Scorecard, 5 and 10 years out.

Median 5-year earnings

$95k

Who this major is for

Applied math rewards students who already enjoy mathematics but want to point it at concrete problems. If long problem sets feel like puzzles rather than punishment, if you have spent time building things in code, or if you find yourself drawn to questions like how traffic flows, why a stock price moves, or how a vaccine spreads, the major plays to those instincts. Comfort with abstraction matters too — real analysis and proof-based linear algebra appear in most programs, even applied ones — but it pairs with a willingness to debug a solver at 2 a.m. when the residuals will not shrink.

The major is a harder fit for students who want a direct line from coursework to a specific job title without doing extra work outside class. Applied math does not bundle SQL, cloud tooling, or ML libraries the way a data science program does, and bachelor’s graduates who skip internships often discover that employers want evidence of applied projects, not just transcripts. It is also a difficult choice for students who dislike programming; nearly every modern applied math career, from actuarial science to quantitative research, runs through code. A weak interest in computing tends to compound across four years until the degree feels like a ceiling rather than a launching pad.

Section 6 · Where to study

Top colleges for Applied Mathematics, General

Ranked by annual completions at the associate's or bachelor's level — a proxy for program scale.

College Location Assoc. Bach. Total
Stony Brook University Stony Brook, NY 0 211 211
University of California-Berkeley Berkeley, CA 0 177 177
Brown University Providence, RI 0 159 159
University of California-Los Angeles Los Angeles, CA 0 151 151
University of North Carolina at Chapel Hill Chapel Hill, NC 0 140 140
Harvard University Cambridge, MA 0 128 128
University of California-San Diego La Jolla, CA 0 116 116
Texas A&M University-College Station College Station, TX 0 94 94
University of California-Santa Barbara Santa Barbara, CA 0 91 91
University of Washington-Seattle Campus Seattle, WA 0 69 69
Section 7 · Explore sideways

Related majors to explore

Mathematics, General

18,758 completions/yr

Econometrics and Quantitative Economics

15,101 completions/yr

Statistics, General

3,379 completions/yr

Data Science, General

2,068 completions/yr

Mathematics and Computer Science

1,125 completions/yr

Business Analytics

1,032 completions/yr

Business Statistics

843 completions/yr

Applied Horticulture/Horticulture Operations, General

809 completions/yr

Considering this direction?

We've taken a hard look at the debt, earnings trajectory, and degree-level tradeoffs for the Applied Mathematics, General field. Read our verdict before you commit.

Is Applied Mathematics, General worth it? Read verdict
Section 9 · Frequently asked

Common questions

How is Applied Mathematics different from a Mathematics major?
Applied Mathematics, General (CIP 27.0301) emphasizes mathematical modeling, numerical analysis, optimization, and scientific computing — math used to solve concrete problems in engineering, finance, and the sciences. Mathematics, General (CIP 27.0101) leans more on proofs, abstract structures, and pure theory. Most applied programs require coursework in MATLAB, Python, or R, while pure math programs may not. If you want to build models and ship results, applied is the closer fit; if you want to prove theorems, pure math is.
Can I get a job with just a bachelor’s in Applied Mathematics?
Yes, but the path matters. Bachelor’s-level roles include data analyst, financial analyst, business intelligence analyst, and entry-level actuarial positions (where exam progress often matters more than the degree itself). Five-year median earnings near $94,637 reflect graduates who landed in tech, finance, or actuarial work. Roles labeled mathematician or statistician typically expect a master’s, and research scientist or academic posts usually require a PhD. Pairing applied math with a CS minor or strong programming portfolio meaningfully widens the bachelor’s-only options.
Do I need to be a math prodigy to succeed in this major?
No, but you should be comfortable working through dense problem sets and not flinch at proofs even in an applied program. Calculus through multivariable, linear algebra, differential equations, and probability form the spine; most students who struggle do so in real analysis or in a first numerical methods course. What matters more than raw talent is grit on long problem sets and willingness to debug code that does not converge. Strong high-school calculus and curiosity about modeling are better predictors than being the best math student in your school.
How does Applied Math compare to Data Science or Statistics as a major?
Applied Mathematics gives you broader theoretical grounding (PDEs, optimization, numerical analysis) that transfers across domains, while Data Science (CIP 30.7001) and Statistics (CIP 27.0501) are more directly aligned with analytics and ML pipelines. Applied math graduates often need to add SQL, version control, and ML libraries on their own; data science programs typically bake those in. If you want maximum optionality and grad-school doors open, applied math wins; if you want the shortest path to an analyst job, data science or statistics may be more efficient.
Is graduate school worth it after Applied Mathematics?
It depends on the role you want. A master’s opens statistician, quantitative researcher, and many R&D positions; a PhD is the standard ticket to mathematician roles, academic careers, and deep-tech research labs. Bachelor’s-only paths in analytics, actuarial work, and software-adjacent finance can pay well without further degree spend. Look at where graduates from your specific program land before committing — applied math outcomes vary more by school and student initiative (research, internships, competitions) than by the major name alone.
What programming languages should I learn alongside this major?
Python is the broadest single bet — it dominates data science, scientific computing, and increasingly quantitative finance. R remains common in statistics-heavy and biostatistics tracks. MATLAB still appears in engineering-adjacent and PDE-focused coursework. SQL is essential if you want any analyst role. C++ is the high-performance language in quant finance and some scientific computing labs. Aim to be functional in Python plus one of R or MATLAB by graduation, and treat SQL as required infrastructure regardless of the path you choose.