The math that explains why economies move the way they do
Econometrics and Quantitative Economics applies statistical and mathematical methods to economic questions — modeling markets, forecasting outcomes, and measuring the effects of policy. About 15,100 degrees have been awarded across 229 colleges, almost exclusively at the bachelor's level.
- Schools offering
- 229
- Annual completions
- 15,101
- Typical degree level
- Bachelor's
- Median earnings (5yr)
- $84k
About this major
Econometrics and Quantitative Economics occupies a precise niche within the social sciences: it applies the tools of mathematics and statistics to questions that economists care about. The curriculum is built around probability theory, regression analysis, optimization, and economic modeling, with applied work in forecasting and cost-benefit analysis woven through the upper-division sequence. Students spend real time with data and statistical software, not just textbook derivations. The CIP definition frames it as the systematic mathematical and statistical analysis of economic phenomena — and the coursework reflects that framing directly, sitting meaningfully closer to applied mathematics than a general economics program would.
The major attracts students who find the quantitative side of social science genuinely interesting — who want to understand not just what happened in a market or policy context, but how you would measure it, model it, and test whether the pattern is real. A tolerance for abstraction helps. So does comfort working through statistical inference problems that don't resolve cleanly on a first pass. The subject matter is economic, but the methods are mathematical, and students who are primarily interested in economic theory rather than statistical tools sometimes find the coursework harder to stay engaged with.
On the labor market side, this major feeds a few distinct career clusters. Data scientists — where median wages run $112,590 and projected job growth sits at 33.5% — are the most accessible high-earning path at the bachelor's level. Economists ($115,440 median) and statisticians ($103,300) are realistic long-run targets, but both occupations typically list a master's degree as the standard entry credential. About 15,100 degrees are awarded annually across 229 colleges — a relatively concentrated field compared to Economics, General — and the highest-volume programs sit at institutions like UCLA, UC Santa Barbara, Berkeley, NYU, and the University of Chicago.
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 |
|---|---|---|---|
| Managers, all other | $137k | +4.5% | Bachelor's degree |
| Data scientists | $113k | +33.5% | Bachelor's degree |
| Social science research assistants | $58k | +4.4% | Bachelor's degree |
| Statisticians | $103k | +8.5% | Master's degree |
| Economists | $115k | +1.2% | Master's degree |
| Economics teachers, postsecondary | $120k | +2.1% | Doctoral or professional degree |
Earnings at a glance
Median graduate earnings from the federal College Scorecard, 5 and 10 years out.
Median 5-year earnings
$84k
Associate's vs Bachelor's — early-career earnings
Associate's
$59k
Bachelor's
$84k
Who this major is for
You may thrive here if you find the measurement problems in social science as interesting as the social science itself — if questions like "how would you actually test that?" or "what's the right model for this data?" feel like the real work rather than a formality. You may also fit well here if you're aiming at data science roles and want an economics framing alongside the statistical toolkit, since the quantitative methods in this major are directly competitive with what statistics and math majors bring to that job market, and the five-year earnings for bachelor's completers land around $84,293 — a solid starting point for a field where the ceiling runs considerably higher. Students who know early they want graduate school in economics will find the technical foundation here a genuine advantage over a general economics program.
Think twice if your interest in economics is primarily conceptual or policy-focused rather than mathematical — a general economics major or political economy program will feel more natural and covers a wider range of courses. Think twice, too, if you're expecting bachelor's-level access to the economist title specifically: the occupation grows at just 1.2% and is dominated by master's and PhD holders, so the path from this degree to that career runs through graduate school, not a job board. And if the idea of spending a semester working through regression diagnostics and time-series models sounds like overhead rather than the point, the day-to-day experience of this major will confirm that instinct.
Top colleges for Econometrics and Quantitative Economics
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 | 738 | 738 |
| University of California-Santa Barbara | Santa Barbara, CA | 0 | 667 | 667 |
| University of California-Berkeley | Berkeley, CA | 0 | 631 | 631 |
| New York University | New York, NY | 0 | 548 | 548 |
| University of Chicago | Chicago, IL | 0 | 548 | 548 |
| University of California-Davis | Davis, CA | 0 | 394 | 394 |
| Pennsylvania State University-Main Campus | University Park, PA | 0 | 340 | 340 |
| Boston College | Chestnut Hill, MA | 0 | 324 | 324 |
| University of California-Riverside | Riverside, CA | 0 | 306 | 306 |
| Utah State University | Logan, UT | 0 | 304 | 304 |
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Considering this direction?
We've taken a hard look at the debt, earnings trajectory, and degree-level tradeoffs for the Econometrics and Quantitative Economics field. Read our verdict before you commit.
Is Econometrics and Quantitative Economics worth it? Read verdict