Family & Consumer Sciences at Texas Tech University
Lubbock, TX · Public · Bachelor's Degree · Family and Consumer Sciences/Human Sciences, General
DegreeOutlook Score (Base Case) — assumes in-state tuition
37
Optimistic
37
Base Case
38
Pessimistic
Earnings
$35,501/yr (10% vs median)
AI Risk
High (41% exposed)
Job Market
Large (67,500 openings/yr)
ROI
10.8x earnings multiple (5.2x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Family & Consumer Sciences graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $514K | $512K | $480K |
| Earnings Multiple (In-State) | 10.8x | 10.8x | 10.1x |
| Earnings Multiple (Out-of-State) | 5.3x | 5.2x | 4.9x |
| Probability of Field Employment | 52% | 47% | 38% |
| DegreeOutlook Score | 37 | 37 | 38 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$47,408
Out-of-state: $97,804 (5.2x ROI)
Median Debt at Graduation
$23,429
7.9 months of Year 1 earnings
Reported Earnings (5 Year)
$49,657
40% growth from Year 1
About Texas Tech University
With 71% of applicants admitted, Texas Tech University prioritizes broad access, with 32,446 students enrolled in Lubbock, TX.
See all programs and financial aid at Texas Tech University →Top Career Paths
Family and consumer sciences teachers, postsecondary
$77,280/yr
Secondary school teachers, except special and career/technical education
$64,580/yr
Farm and home management educators
$58,120/yr
Compare & Explore
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Frequently Asked Questions
How does Texas Tech University's Family & Consumer Sciences program score?
This program scores 37/100 — on the lower end for Family & Consumer Sciences. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Family & Consumer Sciences to AI automation?
AI won't 'replace' Family & Consumer Sciences careers outright, but it is likely to reduce the number of job openings. We model 41% 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 →