Computer Science at University of Phoenix-Texas

Dallas, TX · Private for-profit · Bachelor's Degree · Computer and Information Sciences, General
62 /100
DegreeOutlook Score (Base Case)
63
Optimistic
62
Base Case
55
Pessimistic
Earnings $59,291/yr (-5% vs median)
AI Risk Very High (69% exposed)
Job Market Very Large (338,800 openings/yr)
Ranked #385 of 443 Computer and Information Sciences, General programs

How AI Changes the Outlook

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

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $808K $782K $631K
Probability of Field Employment 80% 74% 42%
DegreeOutlook Score 63 62 55

10-Year Earnings Projection

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

Median Debt at Graduation
$34,165
6.9 months of Year 1 earnings
Reported Earnings (5 Year)
$82,540
39% growth from Year 1

About University of Phoenix-Texas

a smaller institution with 20 students in Dallas, TX.

See all programs and financial aid at University of Phoenix-Texas →

Top Career Paths

Computer and information systems managers $171,200/yr
Computer and information research scientists $140,910/yr
Database architects $135,980/yr
View all 14 career paths with salary ranges and AI risk →

Compare & Explore

Computer Science at Other Schools

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Explore the Trade Alternative

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 University of Phoenix-Texas's Computer Science program score?
A score of 62/100 reflects decent absolute metrics, but University of Phoenix-Texas trails the majority of Computer Science programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer Science to AI automation?
AI won't 'replace' Computer Science careers outright, but it is likely to reduce the number of job openings. We model 69% 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 →