Computer and Information Sciences, General at Stephen F Austin State University

Nacogdoches, TX · Public · Bachelor's Degree
77 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
78
Optimistic
77
Base Case
71
Pessimistic
Earnings $49,445/yr (-21% vs median)
AI Risk Very High (69% exposed)
Job Market Very Large (338,800 openings/yr)
ROI 17.9x earnings multiple (9.2x out-of-state)
Ranked #228 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 and Information Sciences, General graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $783K $759K $618K
Earnings Multiple (In-State) 18.5x 17.9x 14.6x
Earnings Multiple (Out-of-State) 9.5x 9.2x 7.5x
Probability of Field Employment 80% 74% 42%
DegreeOutlook Score 78 77 71

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$42,400
Out-of-state: $82,720 (9.2x ROI)
4-Year Net Price (After Aid)
$60,608
-43% less than sticker · See by income
Median Debt at Graduation
$24,000
5.8 months of Year 1 earnings
Reported Earnings (5 Year)
$76,867
55% growth from Year 1

Program Analysis

Stephen F Austin State University's Computer and Information Sciences, General graduates start at $49,445/yr, trailing the $62,617 national average by 21%. The program's value hinges on affordability.

The 17.9x 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 — 69% task exposure — and the 21% scenario spread suggests disruption would dent but not destroy the earnings outlook.

Loan repayment is a non-issue here — $24,000 in median debt clears quickly against $49,445 in annual earnings.

At #228 out of 443 programs, Stephen F Austin State University's financial outcomes for Computer and Information Sciences, General trail the majority of peers. The value case depends on other factors.

Earnings growth from $49,445 to $76,867 over five years (55% increase) indicates that graduates in this field see meaningful salary progression.

About Stephen F Austin State University

A 88% acceptance rate means Stephen F Austin State University is accessible to most applicants, enrolling 8,746 students in Nacogdoches, TX.

See all programs and financial aid at Stephen F Austin State University →

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 and Information Sciences, General at Other Schools

Other Majors at Stephen F Austin State University

Is a Trade Program a Better Fit?

For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.

Frequently Asked Questions

How does Stephen F Austin State University's Computer and Information Sciences, General program score?
A score of 77/100 reflects decent absolute metrics, but Stephen F Austin State University trails the majority of Computer and Information Sciences, General programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer and Information Sciences, General to AI automation?
AI won't 'replace' Computer and Information Sciences, General 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.
Why are Computer and Information Sciences, General earnings lower at Stephen F Austin State University?
Lower starting pay at Stephen F Austin State University 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 →