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Major · Mathematics & Statistics

Computational math is math written in working code

Computational Mathematics (CIP 27.0303) blends numerical analysis, algorithm design, and scientific computing — math you implement and run, not just prove. About 338 bachelor’s degrees are awarded each year across 23 institutions, with five-year median earnings near $94,637.

Schools offering
23
Annual completions
338
Typical degree level
Bachelor's
Median earnings (5yr)
$95k

About this major

Computational Mathematics (CIP 27.0303) sits where mathematics meets working software. The CIP definition points at computer theory, algorithm development, numerical analysis, combinatorics, and advanced statistics — the toolkit you need to translate a model into code that actually runs. Coursework typically pairs calculus, linear algebra, differential equations, and probability with a numerical methods sequence and electives in optimization, parallel computing, or scientific simulation. Programs assume you will become fluent in at least one of Python, MATLAB, Julia, or C++ along the way.

The major fits students who like math but want it to produce something executable. People drawn here often considered computer science or physics and chose comp-math because they wanted the numerical machinery — solvers, discretizations, Monte Carlo experiments — rather than a single application area. Comfort with proof still matters; many programs require real analysis and proof-based linear algebra alongside the implementation work.

Nationally, the major is small: about 338 bachelor’s degrees are awarded each year across 23 institutions, with UCLA, Ohio State, Brown, the University of Washington, and Boston University producing the largest cohorts. Five-year median earnings sit near $94,637 at the bachelor’s level, though graduates fan out widely — toward data scientist roles (median wage $112,590), quantitative-analyst seats on trading desks, scientific-software work, and downstream master’s programs in financial engineering or operations research. Long-run wage growth in this field tends to track graduate credentials more than the bachelor’s alone.

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 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

You may thrive here if you already enjoy mathematics and find yourself reaching for code to test an idea, if you have spent late nights tracking down why a numerical solver is producing the wrong answer, if you want a math degree that points at quant-finance desks or national-lab software work rather than pure theory, or if you are drawn to the kind of job market signal where data scientist roles report a median wage of $112,590 and 33.5% projected growth. The major rewards students who treat implementation as a first-class skill and who can sit with both proofs and segmentation faults in the same week.

Think twice if you want a math degree without serious programming — comp-math leans heavily on Python, MATLAB, Julia, or C++ across required coursework, and Mathematics, General (CIP 27.0101) is the better home for a pure-theory path. Reconsider this route if you want a clean line from coursework to a job title without graduate study, since the highest-wage seats and the mathematician occupation in the packet (median wage $121,680, projected growth -0.7%) typically expect a master’s. The small national footprint — 338 graduates a year across 23 institutions — also means program access is uneven, so the school you can actually attend matters more here than in larger majors.

Section 6 · Where to study

Top colleges for Computational Mathematics

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

College Location Assoc. Bach. Total
University of California-Los Angeles Los Angeles, CA 0 95 95
Ohio State University-Main Campus Columbus, OH 0 43 43
Brown University Providence, RI 0 30 30
University of Washington-Seattle Campus Seattle, WA 0 29 29
Boston University Boston, MA 0 26 26
Carnegie Mellon University Pittsburgh, PA 0 23 23
Embry-Riddle Aeronautical University-Daytona Beach Daytona Beach, FL 0 20 20
Arizona State University Campus Immersion Tempe, AZ 0 16 16
University of California-Santa Cruz Santa Cruz, CA 0 11 11
California Institute of Technology Pasadena, CA 0 10 10
Section 7 · Explore sideways

Related majors to explore

Mathematics, General

18,758 completions/yr

Statistics, General

3,379 completions/yr

Applied Mathematics, General

2,591 completions/yr

Data Science, General

2,068 completions/yr

Mathematics and Computer Science

1,125 completions/yr

Financial Mathematics

611 completions/yr

Computational Science

425 completions/yr

Mathematics and Statistics, Other

338 completions/yr

Considering this direction?

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

Is Computational Mathematics worth it? Read verdict
Section 9 · Frequently asked

Common questions

How is Computational Mathematics different from Applied Mathematics or Computational and Applied Math?
Computational Mathematics (CIP 27.0303) sits at the math-and-code seam: numerical analysis, algorithm development, advanced statistics, and scientific computing in MATLAB, Python, Julia, or C++. Applied Mathematics, General (CIP 27.0301) is the broader modeling-and-optimization track that may lean less on day-to-day programming. The umbrella label Computational and Applied Mathematics (CIP 27.0304) bundles both views and varies by school. If a department offers all three CIP codes, read the course catalog rather than the name — comp-math is usually the one with required numerical methods, parallel computing, and a heavier coding load.
Can I get a job with just a bachelor’s in Computational Mathematics?
Yes, though the most lucrative lanes usually involve a graduate degree. Bachelor’s graduates land in data analyst, quantitative analyst, and scientific software roles, and the data scientist career path tied to this major reports a median wage of $112,590 with 33.5% projected job growth. Quant-finance desks at firms like Citadel Securities, Jane Street, and Two Sigma do recruit comp-math undergrads, but those seats are competitive and reward strong internships. National lab and research-engineering roles often want a master’s, and the mathematician occupation in the packet typically expects one.
What do Computational Mathematics majors actually study day-to-day?
The CIP definition centers on applying mathematics to computer theory, algorithms, numerical analysis, combinatorics, and advanced statistics. Expect calculus through multivariable, linear algebra, differential equations, probability, and a numerical methods sequence, plus electives in optimization, parallel computing, or machine learning. Coursework alternates between proof-style problem sets and programming assignments where you implement solvers, simulators, or Monte Carlo experiments. Most programs require fluency in at least one of Python, MATLAB, Julia, or C++ before graduation.
Is graduate school the standard next step?
For the highest-paying and most research-oriented seats, yes. A master’s in financial engineering, operations research, or computational science widens the door to quantitative researcher and modeling roles, and the mathematician path in the packet (median wage $121,680) typically expects a master’s. A PhD remains the standard ticket for national-lab research scientist and academic posts. Bachelor’s-only paths into analytics, quant trading, and scientific software exist and pay well, but the long-term wage curve in this field tilts toward graduates who add a one- to two-year quantitative master’s.
How competitive is the major and the job market?
The degree itself is uncommon: only 338 bachelor’s degrees are awarded each year across 23 institutions, and the top producers — UCLA (95), Ohio State (43), Brown (30), University of Washington (29), and Boston University (26) — concentrate most of the supply. That scarcity helps in technical screens that ask for numerical-methods literacy. The job market is strong on the data-science side (33.5% projected growth) but tighter for the mathematician title, where projected growth sits at -0.7%. Internships, research, and a public code portfolio do most of the work in turning the degree into offers.
What if I like the math but not the heavy coding?
Then look closely at Mathematics, General (CIP 27.0101) or Statistics, General (CIP 27.0501) before committing. Computational mathematics programs treat code as a primary deliverable, and students who resist programming tend to struggle in numerical methods and scientific computing courses. Applied Mathematics, General (CIP 27.0301) sits a step lighter on implementation and may suit students who want modeling without as much low-level coding. If proofs and abstraction pull harder than algorithms, pure math is the more honest fit.