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Electrical Engineering at University of North Texas

Denton, TX · Public · Bachelor's Degree · Electrical, Electronics and Communications Engineering
74 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
75
Optimistic
74
Base Case
70
Pessimistic
Earnings $75,265/yr (-3% vs median)
AI Risk Very High (56% exposed)
Job Market Large (54,500 openings/yr)
ROI 19.3x earnings multiple (10.1x out-of-state)
Ranked #98 of 262 Electrical programs Top 50%

How AI Changes the Outlook

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

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $904K $861K $722K
Earnings Multiple (In-State) 20.2x 19.3x 16.2x
Earnings Multiple (Out-of-State) 10.6x 10.1x 8.5x
Probability of Field Employment 78% 70% 48%
DegreeOutlook Score 75 74 70

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$44,656
Out-of-state: $84,976 (10.1x ROI)
4-Year Net Price (After Aid)
$57,408
-29% less than sticker · See by income
Median Debt at Graduation
$25,000
4.0 months of Year 1 earnings
Reported Earnings (5 Year)
$96,911
29% growth from Year 1

Program Analysis

University of North Texas's Electrical Engineering program produces graduates earning $75,265/yr — within striking distance of the $77,516 national average for this field.

The 19.3x 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 — 56% task exposure — and the 20% scenario spread suggests disruption would dent but not destroy the earnings outlook.

Loan repayment is a non-issue here — $25,000 in median debt clears quickly against $75,265 in annual earnings.

Ranked #98 out of 262 programs, University of North Texas's Electrical Engineering offering sits in the upper half but doesn't break into the top tier.

The five-year earnings trajectory from $75,265 to $96,911 shows 29% growth, reflecting steady but unremarkable salary progression.

About University of North Texas

A 72% acceptance rate means University of North Texas is accessible to most applicants, one of the larger campuses at 33,680 students in Denton, TX.

See all programs and financial aid at University of North Texas →

Top Career Paths

Architectural and engineering managers $167,740/yr
Computer hardware engineers $155,020/yr
Aerospace engineers $134,830/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 262 schools offering Electrical Engineering →

Electrical Engineering at Other Schools

Carnegie Mellon University ($139,337) University of California-Berkeley ($137,295) Massachusetts Institute of Technology ($117,345) Cornell University ($100,516) The University of Texas at Austin ($96,997) Rice University ($96,751) National University ($93,417) Northeastern University ($92,222)

Other Majors at University of North Texas

Computer Engineering ($78,714) Construction Engineering Technologies ($72,266) Computer and Information Sciences, General ($70,235) Mechanical Engineering ($68,173) Management Information Systems and Services ($64,441) Accounting and Related Services ($61,509) Mechanical Engineering Related Technologies/Technicians ($59,941) Insurance ($59,022)

Consider the Trade Route?

Compare Electrical Engineering trade programs on TradeSchoolWorth →

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

How does University of North Texas's Electrical Engineering program score?
A score of 74/100 indicates strong financial outcomes. University of North Texas's Electrical Engineering graduates fare well on earnings, job market size, and return on investment.
How vulnerable is Electrical Engineering to AI automation?
AI won't 'replace' Electrical Engineering careers outright, but it is likely to reduce the number of job openings. We model 56% 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 →