Medical Assisting at Bay Area Medical Academy

San Francisco, CA · Private for-profit · Certificate · Allied Health and Medical Assisting Services

a smaller institution with 159 students in San Francisco, CA.

Program Analysis

Bay Area Medical Academy's Medical Assisting graduates start at $38,505/yr — above the $31,622 national average, though not by a wide margin.

Some AI exposure exists in Medical Assisting's career paths, with 28% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 34% gap from the optimistic case.

Loan repayment is a non-issue here — $9,114 in median debt clears fast against $38,505 in annual earnings.

At #349 of 1,065 Medical Assisting programs, Bay Area Medical Academy scores above the median — competitive but not a standout.

Earnings grow from $38,505 to $55,876 over five years — a 45% increase that's moderate and in line with typical trade career progression.

Medical Assisting offers 11 registered apprenticeship pathways — an unusually broad set of earn-while-you-learn alternatives to the classroom track.

60 /100
TradeSchoolOutlook Score
56
Low End
60
Score
61
High End
Earnings $38,505/yr (22% vs median)
AI-Proof Resilient (72% shielded)
Job Market Very Large (252,100 openings/yr)

Earnings Overview

Projected 10-Year Earnings
$607K
9.8% annual growth
Viable Career Paths
9 of 9
Occupations with strong AI resilience

Projected 10-Year Earnings

Based on actual graduate salary data and Bureau of Labor Statistics growth projections.

Median Debt at Graduation
$9,114
2.8 months of Year 1 earnings
Reported Earnings (5 Year)
$55,876
45% growth from Year 1

Top Career Paths

Top career paths for Medical Assisting graduates by median salary.

Career Path Median Salary Growth AI-ProofAI
Health specialties teachers, postsecondary $105,620 +17.3% 52%
Occupational therapy assistants $68,340 +19.2% 73%
Physical therapist assistants $65,510 +22.0% 85%
Health specialties teachers, postsecondary
$105,620
+17.3% growth 52% AI-proof
Occupational therapy assistants
$68,340
+19.2% growth 73% AI-proof
Physical therapist assistants
$65,510
+22.0% growth 85% AI-proof

View all 9 career paths with full salary data →

Medical Assisting Career Guide

See the full career breakdown for Medical Assisting — job titles, salary ranges, and growth projections for graduates from Bay Area Medical Academy and 1064 other schools.

Read the full Medical Assisting career guide →

Compare & Explore

Medical Assisting Overview

Medical Assisting at Other Schools

Trade Certificate vs. Bachelor's Degree

Weigh shorter time-to-career against higher earning ceilings. The numbers tell the story.

Frequently Asked Questions

How does Bay Area Medical Academy's Medical Assisting program score?
A score of 60/100 puts this program in competitive territory — solid outcomes, though not at the top of the Medical Assisting field.
What's the typical debt for Medical Assisting graduates from Bay Area Medical Academy?
Median debt of just $9,114 against $38,505/yr in starting salary means graduates can clear their loans in under 3 months. This is one of the more affordable paths in our dataset.
What apprenticeship pathways exist for Medical Assisting graduates?
There are 11 registered apprenticeships connected to Medical Assisting occupations, such as Ambulance Attendant (Emt) and Health Care Sanitary Technician. The earn-while-you-learn model means no tuition debt and immediate income, though the training period is typically longer.
How sensitive is Medical Assisting to AI disruption?
The 34% scenario spread reflects genuine uncertainty. Some career paths within Medical Assisting are more exposed than others — the aggregate score blends resistant and vulnerable roles.
What's the job market like for Medical Assisting from Bay Area Medical Academy?
The career paths mapped to Medical Assisting have roughly 252,100 combined annual openings nationally, making this a very large job market. Demand is driven by an aging population and expanding healthcare access.
Data from College Scorecard, BLS, and AI resilience research. Methodology & sources →