Median Earnings (1yr)
$38,087
75th percentile (60th in CA)
Median Debt
$49,770
85% above national median
Debt-to-Earnings
1.31
Elevated
Sample Size
775
Adequate data

Analysis

This University of Phoenix behavioral sciences program delivers solid earnings that rank in the 75th percentile nationally and 60th percentile within California, but comes with a significant debt burden that demands careful consideration. Graduates earn a median $38,087 in their first year—notably higher than both the national average ($35,410) and California average ($31,899) for this field. However, the median debt load of $49,770 is nearly double the national average and almost twice California's typical debt for this program.

The debt-to-earnings ratio of 1.31 means graduates carry debt equivalent to about 16 months of their starting salary, which is manageable but not ideal. More concerning is the lack of earnings growth—salaries actually decline slightly from year one to year four, suggesting limited career advancement potential. While the program outperforms most California competitors in starting salaries, the premium comes at a steep price point that other quality programs don't require.

For families considering this investment, the math works if your child can secure the higher starting salary this program typically delivers, but the debt load leaves little room for error. The earnings advantage over cheaper in-state alternatives may not justify the roughly $23,000 in additional debt, especially given the flat earnings trajectory.

Where University of Phoenix-California Stands

Earnings vs. debt across all behavioral sciences bachelors's programs nationally

University of Phoenix-CaliforniaOther behavioral sciences programs

Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.

Earnings Distribution

How University of Phoenix-California graduates compare to all programs nationally

University of Phoenix-California graduates earn $38k, placing them in the 75th percentile of all behavioral sciences bachelors programs nationally.

Earnings Over Time

How earnings evolve from 1 year to 4 years after graduation

Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.

Compare to Similar Programs in California

Behavioral Sciences bachelors's programs at peer institutions in California (11 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
University of Phoenix-California$38,087$37,783$49,7701.31
Ashford University$37,661$35,778$51,3881.36
Concordia University-Irvine$31,899$49,240$24,5830.77
Life Pacific University$29,830—$27,0000.91
University of California-Santa Cruz$28,709—$17,5000.61
National Median$35,410—$26,9440.76

Other Behavioral Sciences Programs in California

Compare tuition, earnings, and debt across California schools

SchoolIn-State TuitionEarnings (1yr)Debt
Ashford University
San Diego
$13,160$37,661$51,388
Concordia University-Irvine
Irvine
$41,390$31,899$24,583
Life Pacific University
San Dimas
$20,462$29,830$27,000
University of California-Santa Cruz
Santa Cruz
$14,560$28,709$17,500

About This Data

Source: U.S. Department of Education College Scorecard (October 2025 release)

Population: Graduates who received federal financial aid (Title IV grants or loans). At University of Phoenix-California, approximately 24% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.

Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.

Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.

Sample Size: Based on 775 graduates with reported earnings and 1637 graduates with debt data. Small samples may not be representative.