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Statistics at University of Missouri-Columbia

Columbia, MO · Public · Bachelor's Degree
47 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
48
Optimistic
47
Base Case
42
Pessimistic
Earnings $52,088/yr (-18% vs median)
AI Risk Very High (64% exposed)
Job Market Large (41,500 openings/yr)
ROI 9.9x earnings multiple (4.1x out-of-state)
Ranked #42 of 51 Statistics programs

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Statistics graduates.

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $567K $560K $507K
Earnings Multiple (In-State) 10.0x 9.9x 9.0x
Earnings Multiple (Out-of-State) 4.1x 4.1x 3.7x
Probability of Field Employment 71% 64% 40%
DegreeOutlook Score 48 47 42

10-Year Earnings Projection

*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.

4-Year Tuition, In-State (Sticker)
$56,520
Out-of-state: $137,352 (4.1x ROI)
4-Year Net Price (After Aid)
$79,556
-41% less than sticker · See by income
Median Debt at Graduation
$15,189
3.5 months of Year 1 earnings

Program Analysis

University of Missouri-Columbia's Statistics graduates start at $52,088/yr, trailing the $63,187 national average by 18%. The program's value hinges on affordability.

At 9.9x the cost of in-state tuition, the ten-year earnings outlook represents a strong return. Not exceptional, but meaningfully positive.

AI risk is moderate — 64% task exposure — and the 11% scenario spread suggests disruption would dent but not destroy the earnings outlook.

Loan repayment is a non-issue here — $15,189 in median debt clears quickly against $52,088 in annual earnings.

At #42 out of 51 programs, University of Missouri-Columbia's financial outcomes for Statistics trail the majority of peers. The value case depends on other factors.

About University of Missouri-Columbia

A 77% acceptance rate means University of Missouri-Columbia is accessible to most applicants, serving a student body of 23,118 in Columbia, MO.

See all programs and financial aid at University of Missouri-Columbia →

Top Career Paths

Natural sciences managers $161,180/yr
Actuaries $125,770/yr
Mathematicians $121,680/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 51 schools offering Statistics →

Statistics at Other Schools

Harvard University ($141,116) University of Pennsylvania ($129,732) Duke University ($97,197) Carnegie Mellon University ($93,111) University of California-Berkeley ($83,227) University of Chicago ($82,681) Cornell University ($82,531) Northwestern University ($77,917)

Other Majors at University of Missouri-Columbia

Electrical, Electronics and Communications Engineering ($85,400) Computer Engineering ($83,243) Industrial Engineering ($79,894) Computer and Information Sciences, General ($72,886) Registered Nursing, Nursing Administration, Nursing Research and Clinical Nursing ($72,300) Mechanical Engineering ($71,800) Engineering, General ($70,366) Chemical Engineering ($69,950)

Is a Trade Program a Better Fit?

Compare Statistics trade programs on TradeSchoolWorth →

For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.

Frequently Asked Questions

How does University of Missouri-Columbia's Statistics program score?
This program scores 47/100 — on the lower end for Statistics. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Statistics to AI automation?
AI won't 'replace' Statistics careers outright, but it is likely to reduce the number of job openings. We model 64% task exposure, which compresses field employment probability in our scenarios.
Why are Statistics earnings lower at University of Missouri-Columbia?
Lower starting pay at University of Missouri-Columbia may reflect local labor market conditions rather than program quality. Many graduates see convergence with national averages within 3-5 years.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →