Design at Baylor University

Waco, TX · Private nonprofit · Bachelor's Degree · Design and Applied Arts
34 /100
DegreeOutlook Score (Base Case)
35
Optimistic
34
Base Case
38
Pessimistic
Earnings $39,333/yr (16% vs median)
AI Risk High (38% exposed)
Job Market Very Large (101,000 openings/yr)
ROI 2.8x earnings multiple
Ranked #142 of 290 Design and Applied Arts programs Top 50%

How AI Changes the Outlook

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

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $627K $616K $568K
Earnings Multiple 2.9x 2.8x 2.6x
Probability of Field Employment 63% 57% 46%
DegreeOutlook Score 35 34 38

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$219,376
4-Year Net Price (After Aid)
$167,768
24% less than sticker · See by income
Median Debt at Graduation
$25,750
7.9 months of Year 1 earnings
Reported Earnings (5 Year)
$62,970
60% growth from Year 1

About Baylor University

Baylor University accepts 51% of applicants, balancing access with selectivity, enrolling 15,007 students in Waco, TX.

See all programs and financial aid at Baylor University →

Top Career Paths

Art directors $111,040/yr
Architecture teachers, postsecondary $101,480/yr
Special effects artists and animators $99,800/yr
View all 14 career paths with salary ranges and AI risk →

Compare & Explore

Design at Other Schools

Other Majors at Baylor University

Consider the Trade Route?

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 Baylor University's Design program score?
This program scores 34/100 — on the lower end for Design. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Design to AI automation?
AI won't 'replace' Design careers outright, but it is likely to reduce the number of job openings. We model 38% 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 →