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Computer Engineering at Universidad Politecnica de Puerto Rico

Hato Rey, PR · Private nonprofit · Bachelor's Degree
56 /100
DegreeOutlook Score (Base Case)
57
Optimistic
56
Base Case
58
Pessimistic
Earnings $38,213/yr (-51% vs median)
AI Risk Very High (71% exposed)
Job Market Very Large (167,700 openings/yr)
ROI 16.0x earnings multiple
Ranked #172 of 174 Computer Engineering programs

How AI Changes the Outlook

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

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $646K $629K $545K
Earnings Multiple 16.5x 16.0x 13.9x
Probability of Field Employment 84% 74% 43%
DegreeOutlook Score 57 56 58

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$39,240
4-Year Net Price (After Aid)
$65,352
-67% less than sticker · See by income
Reported Earnings (5 Year)
$60,492
58% growth from Year 1

Program Analysis

At $38,213 per year, Computer Engineering graduates from Universidad Politecnica de Puerto Rico earn below the $78,694 national average. Lower costs or geographic factors may offset the earnings gap.

The 16.0x earnings multiple means ten-year projected earnings exceed tuition cost by an order of magnitude. By pure financial math, this is a standout.

AI risk is moderate — 71% task exposure — and the 16% scenario spread suggests disruption would dent but not destroy the earnings outlook.

At #172 out of 174 programs, Universidad Politecnica de Puerto Rico's financial outcomes for Computer Engineering trail the majority of peers. The value case depends on other factors.

Earnings growth from $38,213 to $60,492 over five years (58% increase) indicates that graduates in this field see meaningful salary progression.

About Universidad Politecnica de Puerto Rico

a smaller institution with 3,791 students in Hato Rey, PR. Pell Grant recipients make up 62% of the student body — a marker of economic diversity.

See all programs and financial aid at Universidad Politecnica de Puerto Rico →

Top Career Paths

Architectural and engineering managers $167,740/yr
Computer hardware engineers $155,020/yr
Database architects $135,980/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 174 schools offering Computer Engineering →

Computer Engineering at Other Schools

University of Washington-Seattle Campus ($141,588) University of Washington-Bothell Campus ($141,588) University of Virginia-Main Campus ($118,232) California Polytechnic State University-San Luis Obispo ($111,560) Duke University ($111,145) Santa Clara University ($103,804) University of Illinois Urbana-Champaign ($103,123) Columbia University in the City of New York ($102,083)

Other Majors at Universidad Politecnica de Puerto Rico

Architecture ($20,080)

Explore the Trade Alternative

Compare Computer Engineering trade programs on TradeSchoolWorth →

Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.

Frequently Asked Questions

How does Universidad Politecnica de Puerto Rico's Computer Engineering program score?
A score of 56/100 reflects decent absolute metrics, but Universidad Politecnica de Puerto Rico trails the majority of Computer Engineering programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer Engineering to AI automation?
AI won't 'replace' Computer Engineering careers outright, but it is likely to reduce the number of job openings. We model 71% task exposure, which compresses field employment probability in our scenarios.
Why are Computer Engineering earnings lower at Universidad Politecnica de Puerto Rico?
Lower starting pay at Universidad Politecnica de Puerto Rico 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 →