Industrial Engineering at California Polytechnic State University-San Luis Obispo

San Luis Obispo, CA · Public · Bachelor's Degree
77 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
78
Optimistic
77
Base Case
74
Pessimistic
Earnings $87,226/yr (18% vs median)
AI Risk High (43% exposed)
Job Market Large (60,900 openings/yr)
ROI 22.7x earnings multiple (8.1x out-of-state)
Ranked #2 of 93 Industrial Engineering programs Top 5%

How AI Changes the Outlook

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

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $1,040K $1,005K $852K
Earnings Multiple (In-State) 23.5x 22.7x 19.2x
Earnings Multiple (Out-of-State) 8.4x 8.1x 6.9x
Probability of Field Employment 68% 64% 48%
DegreeOutlook Score 78 77 74

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$44,300
Out-of-state: $123,980 (8.1x ROI)
4-Year Net Price (After Aid)
$62,496
-41% less than sticker · See by income
Median Debt at Graduation
$19,691
2.7 months of Year 1 earnings
Reported Earnings (5 Year)
$121,125
39% growth from Year 1

Program Analysis

First-year earnings of $87,226 at California Polytechnic State University-San Luis Obispo come in 18% above the national median of $73,874 for Industrial Engineering programs.

Every dollar of in-state tuition returns an estimated 22.7x in decade earnings — an exceptional ratio that places this among the highest-ROI Industrial Engineering programs nationally.

Some AI exposure exists in Industrial Engineering's typical career paths, with 43% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 18% gap from the optimistic case.

With first-year pay of $87,226 far exceeding the $19,691 median debt, the payback timeline is measured in months, not years.

At #2 of 93 nationally, this is a top-5% Industrial Engineering program. Financial outcomes consistently outperform the vast majority of peers.

Earnings grow from $87,226 to $121,125 over five years — a 39% increase that's moderate and in line with typical career progression.

About California Polytechnic State University-San Luis Obispo

California Polytechnic State University-San Luis Obispo accepts 30% of applicants — selective, though not ultra-competitive, with 21,521 students enrolled in San Luis Obispo, CA.

See all programs and financial aid at California Polytechnic State University-San Luis Obispo →

Top Career Paths

Architectural and engineering managers $167,740/yr
Industrial production managers $121,440/yr
Engineering teachers, postsecondary $106,120/yr
View all 4 career paths with salary ranges and AI risk →

Compare & Explore

Industrial Engineering at Other Schools

Other Majors at California Polytechnic State University-San Luis Obispo

Consider the Trade Route?

Trade programs often mean less time in school, lower student debt, and hands-on career paths that tend to be more resilient to AI disruption.

Frequently Asked Questions

What is the DegreeOutlook Score for Industrial Engineering at California Polytechnic State University-San Luis Obispo?
This program scores 77/100 — placing it among the stronger programs for Industrial Engineering nationally. The score reflects above-average earnings, manageable AI risk, and solid financial return.
Will AI replace Industrial Engineering careers?
With 43% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $851,799 in decade earnings vs $1,039,907 in the optimistic case — a meaningful gap.
What makes California Polytechnic State University-San Luis Obispo's Industrial Engineering program stand out?
Ranked #2 of 93 programs nationally, California Polytechnic State University-San Luis Obispo lands in the top 5%. The ranking reflects a combination of graduate earnings, return on investment, and job market alignment.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →