Is a Statistics Degree Worth It? Salary Data

Statistics is one of the quietest high-ROI majors in American higher education. It doesn't have a hype cycle, it doesn't show up in admissions brochures, and most high schoolers have never met someone who majored in it. Meanwhile, the federal occupational data has statisticians sitting near the top of the pay tables for jobs that only require a bachelor's degree, with one of the fastest projected growth rates of any occupation tracked by the Bureau of Labor Statistics.

So the short answer: yes, a statistics degree is worth it for most students who can get through the math sequence. The longer answer is about which jobs you actually land, what you pay to get the degree, and the specific mistake that turns a strong stats degree into a weak one.

What statistics majors actually earn

Two different numbers get quoted in this conversation and they measure different things. Occupational data from BLS tells you what people working as statisticians earn — a median in the low six figures, roughly $100,000–$110,000 in recent years. College Scorecard earnings data tells you what bachelor's graduates of statistics programs earn a few years out, which lands closer to the $60,000–$80,000 range depending on the school and the region.

Both are true. The gap exists because the BLS figure includes mid-career professionals and people with master's degrees, while Scorecard captures everyone four years after graduation, including the grads who took an analyst job at a regional insurer and the ones still in school. Plan your decision around the Scorecard-style number for year one and the BLS number for year ten.

Here is how statistics stacks up against the majors students usually weigh it against. Figures are rounded public medians from BLS occupational data and College Scorecard program-level earnings; individual outcomes vary widely by school, state, and employer.

Major	Typical early-career salary	Mid-career occupational median	4-yr in-state public cost (net)	Rough break-even
Statistics	$62,000–$78,000	~$105,000 (statisticians)	$60,000–$90,000	2–4 years
Actuarial science	$68,000–$80,000	~$125,000 (actuaries)	$60,000–$90,000	2–3 years
Computer science	$70,000–$95,000	~$133,000 (software devs)	$60,000–$95,000	2–3 years
Mathematics	$55,000–$70,000	~$104,000 (mathematicians)	$55,000–$85,000	3–5 years
Economics	$58,000–$75,000	~$115,000 (economists)	$60,000–$90,000	3–5 years
Psychology	$38,000–$48,000	~$92,000 (requires doctorate)	$55,000–$85,000	8+ years

Read that table carefully, because the interesting column is the last one. Statistics isn't the highest-paying major on the list. It's the one where a mid-tier public-school graduate with no connections and no graduate degree still clears the cost of the degree inside about three years. That is a different kind of bet than computer science, where the ceiling is higher but entry-level hiring swings hard with the tech cycle.

Where the money actually comes from

Almost nobody with a statistics bachelor's gets hired with the title "statistician." That title clusters in government agencies, pharmaceutical companies, and research institutions, and it often expects a master's. What stats majors actually get hired as:

• Data analyst / business analyst. The default first job. Entry pay in the $55,000–$75,000 range, concentrated in finance, insurance, healthcare systems, and retail operations.
• Risk or credit analyst. Banks and insurers hire stats majors specifically because they can defend a model, not just run one. Pay runs slightly above the generic analyst track.
• Biostatistician or clinical data analyst. Pharma and hospital research. The highest-paying path long-term, but the strong version of it requires a master's.
• Actuarial analyst. You don't need an actuarial science degree — you need to pass the exams. A stats major who passes two exams before graduation is competitive with anyone.
• Data scientist / ML engineer. Reachable, but only if you pair the stats coursework with real programming. More on that below.

BLS projects employment for statisticians and data scientists to grow far faster than the all-occupation average over the next decade — data scientist roles in particular have been projected around 30%+ growth. Treat that as directional, not a guarantee; labor projections have missed before, and the 2023–2025 tech hiring slowdown already bent some of those curves.

The one mistake that kills the ROI

A statistics degree without programming is a half-degree. Employers are not hiring you to derive estimators by hand. They are hiring you to pull data out of a warehouse, clean it, model it, and explain the result to someone in operations.

That means the non-negotiable additions to the major are SQL (not optional, ever), Python or R to a working level, and at least one project where you handled messy real data end to end. Students who graduate with the math and none of the tooling end up competing for the same jobs as general business majors, at general business major pay. Students who have both routinely start $15,000–$20,000 above their classmates.

The second-order move: a minor or double major that gives you a domain. Stats plus finance, stats plus public health, stats plus supply chain. Pure quantitative skill is a commodity; quantitative skill attached to an industry is not.

What you should pay for it

Statistics is a major where program prestige matters less than almost anywhere else, because the hiring screen is technical. A take-home data exercise does not care which school's name is on your transcript. That makes stats one of the best arguments for an in-state public flagship or a strong regional public over a $70,000-a-year private.

Run the actual numbers rather than trusting the sticker price. A private school listing $85,000 in cost of attendance may net out to $40,000 after institutional aid; a public flagship listing $30,000 may net out to $22,000. You can look up the Value Score and real net-cost figures for specific programs on our school lookup, and the closest ranked list we publish to this major is the data science rankings — overlapping coursework, largely the same employers.

A useful rule: for statistics, borrowing more than your expected first-year salary is hard to justify. At a $65,000 starting point, total borrowing above roughly $65,000 starts eating years of your twenties for a credential that a cheaper school delivers nearly identically.

Who should skip it

Be honest about the math. The major requires calculus through multivariable, linear algebra, probability theory, and mathematical statistics. The attrition point for most students is probability theory, where the work shifts from computation to proof. If you struggled with calculus in high school and disliked it, this is not the "safe quantitative major" — it's a harder one than finance or business analytics, with a similar payoff profile.

Business analytics or information systems gets you into adjacent jobs with a lighter math load and a modest pay discount. That is a legitimate trade, not a consolation prize. The expensive mistake is starting statistics, hitting the proof-based courses junior year, and switching to a low-earning major with two semesters of credits that don't transfer.

The verdict

Statistics clears the bar on every measure that matters: starting salaries well above the all-majors average, a mid-career occupational median in the six figures, employer demand spread across insurance, healthcare, finance, government, and tech rather than concentrated in one volatile sector, and a degree that performs nearly as well from a $22,000-a-year public as from a $60,000-a-year private. Those numbers vary by school, state, and graduating class — but the shape of the bet is consistent. For a student who can handle the math and will learn to code, it is one of the most reliable returns available at a public-school price.

FAQ

Is a statistics degree better than a computer science degree?

Computer science has the higher ceiling and higher average starting salary, but the entry-level market is more cyclical and more crowded. Statistics has a slightly lower average start, steadier demand across non-tech industries, and less competition for internships. If you want to build software, do CS. If you want to analyze and model, do statistics and take enough CS coursework to be dangerous — that combination is often more employable than either alone.

Do you need a master's degree in statistics to get a good job?

Not for the analyst track, which absorbs most bachelor's graduates and pays well enough to be worth it on its own. You do need one for the titles with "statistician" or "biostatistician" in them, and for most pharmaceutical and federal research roles. The smart move is to work two or three years first — many employers in insurance, healthcare, and tech will pay for the master's, which turns a $40,000–$60,000 expense into a free credential.

What is the starting salary for a statistics major?

Public earnings data generally puts statistics graduates in the $60,000–$78,000 range in the first few years out, with meaningful variation by state and industry: finance and tech employers pay at the top of that band, while government and nonprofit research pay below it. Graduates with SQL plus Python or R and at least one internship consistently land at the upper end. Treat any single number you see online as a midpoint with a wide distribution around it.