Civil Engineering at Southern University Law Center

Baton Rouge, LA · Public · Bachelor's Degree
50 /100
DegreeOutlook Score (Base Case)
52
Optimistic
50
Base Case
49
Pessimistic
Earnings $60,219/yr (-13% vs median)
AI Risk High (49% exposed)
Job Market Large (56,100 openings/yr)
Ranked #218 of 220 Civil Engineering programs

How AI Changes the Outlook

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

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $659K $641K $582K
Probability of Field Employment 84% 75% 55%
DegreeOutlook Score 52 50 49

10-Year Earnings Projection

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

Program Analysis

First-year earnings of $60,219 track close to the $69,097 national median for Civil Engineering programs. This is a middle-of-the-road outcome on salary alone.

AI risk is moderate — 49% task exposure — and the 12% scenario spread suggests disruption would dent but not destroy the earnings outlook.

At #218 out of 220 programs, Southern University Law Center's financial outcomes for Civil Engineering trail the majority of peers. The value case depends on other factors.

About Southern University Law Center

a smaller institution with 648 students in Baton Rouge, LA.

See all programs and financial aid at Southern University Law Center →

Top Career Paths

Architectural and engineering managers $167,740/yr
Petroleum engineers $141,280/yr
Engineers, all other $117,750/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

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Frequently Asked Questions

How does Southern University Law Center's Civil Engineering program score?
A score of 50/100 reflects decent absolute metrics, but Southern University Law Center trails the majority of Civil Engineering programs on relative rankings. Context matters more than the raw number.
How vulnerable is Civil Engineering to AI automation?
AI won't 'replace' Civil Engineering careers outright, but it is likely to reduce the number of job openings. We model 49% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →