Major decision guide
Mathematics vs Statistics
Mathematics is about structure and proof across many areas — analysis, algebra, topology — with certainty as the goal. Statistics is about reasoning under uncertainty: estimating what you cannot observe directly and quantifying how wrong you might be. Both are quantitative, but they train different instincts.
How each major is officially classified
Both definitions below are the official U.S. Department of Education (NCES) CIP 2020 descriptions — not CampusPin summaries.
CIP 27.0101
Mathematics
Official title: Mathematics, General · Family: mathematics and statistics
A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional analysis, geometry, number theory, logic, topology and other mathematical specializations.
CIP 27.0501
Statistics
Official title: Statistics, General · Family: mathematics and statistics
A general program that focuses on the relationships between groups of measurements, and similarities and differences, using probability theory and techniques derived from it. Includes instruction in the principles in probability theory, binomial distribution, regression analysis, standard deviation, stochastic processes, Monte Carlo method, Bayesian statistics, non-parametric statistics, sampling theory, and statistical techniques.
What you actually study
Mathematics
- Calculus I–III, multivariable calculus
- Linear algebra
- Abstract algebra
- Real and complex analysis
- Probability and statistics
- Differential equations
- Topology or numerical analysis (track-dependent)
Statistics
- Probability theory and random variables
- Statistical inference: estimation, hypothesis testing, and confidence intervals
- Linear and logistic regression and generalized linear models
- Experimental design and analysis of variance (ANOVA)
- Sampling methods and survey design
- Bayesian methods and computational statistics
- Statistical programming in R, Python, and SAS
Where each major leads
The federal CIP–SOC crosswalk maps each academic program to the occupations it is designed to feed. Comparing the two lists shows where Mathematics and Statistics converge and where they part. Every wage below is the BLS 2024 national median for that occupation — not an outcome for the major, and not a starting salary.
Mapped to both (4)
Occupations the federal crosswalk associates with both programs.
$161,180 annual median (2024)
Typically enters with: Bachelor's degree. Employment is projected to grow 3.7% 2024–2034.
$103,300 annual median (2024)
Typically enters with: Master's degree. Employment is projected to grow 8.5% 2024–2034.
$112,590 annual median (2024)
Typically enters with: Bachelor's degree. Employment is projected to grow 33.5% 2024–2034.
Mathematical Science Teachers, Postsecondary
$79,350 annual median (2024)
Typically enters with: Doctoral or professional degree. Employment is projected to grow 2.3% 2024–2034.
Mapped to Mathematics only (3)
The crosswalk associates these with Mathematics but not with Statistics. Graduates of either major are still hired into many of them.
$121,680 annual median (2024)
Typically enters with: Master's degree. Employment is projected to decline 0.7% 2024–2034.
Mathematical Science Occupations, All Other
$71,490 annual median (2024)
Typically enters with: Bachelor's degree. Employment is projected to grow 4.0% 2024–2034.
Secondary School Teachers, Except Special and Career/Technical Education
$64,580 annual median (2024)
Typically enters with: Bachelor's degree. Employment is projected to decline 1.6% 2024–2034.
Mapped to Statistics only (2)
The crosswalk associates these with Statistics but not with Mathematics. Graduates of either major are still hired into many of them.
$125,770 annual median (2024)
Typically enters with: Bachelor's degree. Employment is projected to grow 21.8% 2024–2034.
$63,380 annual median (2024)
Typically enters with: Master's degree. Employment is projected to decline 5.2% 2024–2034.
A major does not restrict you to these occupations, and plenty of graduates work outside them. The mapping describes what each program is built to prepare you for.
Which one tends to suit which student
This part is CampusPin’s judgement, not a measurement. Neither major is better; they suit different temperaments.
Mathematics may fit if…
You enjoy proof for its own sake and want a foundation that keeps theory, cryptography, and graduate mathematics available alongside applied work.
Statistics may fit if…
You want to work with real data and real decisions, and you find questions about evidence and uncertainty more interesting than abstract structure.
Commonly misunderstood
Both map federally to statistician and data-scientist occupations, so this is not a choice between employability and abstraction. Statistics adds actuarial and survey-research destinations; mathematics adds mathematician and teaching paths.
What to ask each department
Curricula vary far more between institutions than between these two majors. These questions surface the differences that actually matter for this choice.
- 1How much proof-based coursework does each major require, and does the statistics track include mathematical statistics or only applied methods?
- 2Does the mathematics department offer an applied or actuarial track?
- 3Which program better prepares me for actuarial exams if that interests me?
- 4What computing is built into each degree?
How this comparison was built
The occupation lists come from the official NCES CIP 2020 → SOC 2018 crosswalk, which maps each academic program to the occupations it prepares students for. CampusPin intersects the two programs’ lists to show the shared and distinct destinations; the grouping is arithmetic on a federal dataset, not an editorial ranking.
Wages, projected employment change, and typical entry-level education come from the U.S. Bureau of Labor Statistics and are attached to the occupation, not to the major. A median is the midpoint for everyone in that occupation nationally, including people with decades of experience, so it is not a starting salary and not a promise.
The “which one tends to suit which student” and “what to ask” sections are editorial judgement, labelled as such. CampusPin does not rank majors and takes no position on which is worth more.
Frequently asked questions
- What is the difference between a Mathematics and a Statistics major?
- Mathematics is about structure and proof across many areas — analysis, algebra, topology — with certainty as the goal. Statistics is about reasoning under uncertainty: estimating what you cannot observe directly and quantifying how wrong you might be. Both are quantitative, but they train different instincts.
- Do Mathematics and Statistics lead to the same jobs?
- Partly. The federal CIP–SOC crosswalk maps both programs to 4 of the same occupations — including Natural Sciences Managers, Statisticians, Data Scientists. It also maps 3 occupations to Mathematics that it does not map to Statistics, and 2 to Statistics that it does not map to Mathematics. A degree is not a restriction — graduates work outside these lists routinely — but the mapping shows where each program is designed to lead.
- Which pays more, Mathematics or Statistics?
- CampusPin does not publish a "higher-paying major" answer, because the data does not support one. BLS reports median wages by OCCUPATION, not by college major, and both of these majors lead to a range of occupations that overlap. The per-occupation medians on this page are the honest version of that question: compare the specific roles you are actually interested in, and remember that pay varies widely by employer, region, and experience.
- Is there anything commonly misunderstood about choosing between Mathematics and Statistics?
- Both map federally to statistician and data-scientist occupations, so this is not a choice between employability and abstraction. Statistics adds actuarial and survey-research destinations; mathematics adds mathematician and teaching paths.
Read the full major guides
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Data sources & methodology
Academic classifications, occupation mappings, and wage figures for Mathematics and Statistics come from federal datasets committed to this site.
Sources used across this page
Not every source informs every figure. Each data point draws on the source appropriate to it see the relevant section and the data dictionary for field-level provenance.
NCES Classification of Instructional Programs (CIP 2020)
Official academic program taxonomy: the code, title, and definition shown for each major.
NCES CIP 2020 → SOC 2018 Crosswalk
The federal mapping from academic programs to occupations. Determines which occupations each major is shown as leading to.
U.S. Bureau of Labor Statistics, Occupational Outlook Handbook
Median annual wage, projected employment change, and typical entry-level education for every occupation named.
IPEDS / NCES College Navigator
Federal enrollment, admissions, tuition, retention, and program data. Released annually with a 1–2 year lag.
Where a value is unavailable it is shown as unavailable, never as 0, free, or a negative judgment. Always confirm final details with the institution before applying.
Suggested citation
CampusPin. Mathematics vs Statistics: How to Choose a Major. Retrieved from https://campuspin.com/compare-majors/mathematics-vs-statistics