Design at Grand Canyon University

Phoenix, AZ · Private for-profit · Bachelor's Degree · Design and Applied Arts
38 /100
DegreeOutlook Score (Base Case)
39
Optimistic
38
Base Case
43
Pessimistic
Earnings $38,976/yr (15% vs median)
AI Risk High (38% exposed)
Job Market Very Large (101,000 openings/yr)
ROI 6.7x earnings multiple
Ranked #114 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 $464K $466K $447K
Earnings Multiple 6.6x 6.7x 6.4x
Probability of Field Employment 63% 57% 46%
DegreeOutlook Score 39 38 43

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$69,800
Median Debt at Graduation
$27,000
8.3 months of Year 1 earnings

About Grand Canyon University

With a 60% acceptance rate, Grand Canyon University is moderately selective, serving a student body of 68,619 in Phoenix, AZ. With 43% of students on Pell Grants, the campus draws from a broad economic spectrum.

See all programs and financial aid at Grand Canyon 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 Grand Canyon University

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 Grand Canyon University's Design program score?
This program scores 38/100 — 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 →