Animal Health Technologies at Dakota County Technical College

Rosemount, MN · Public · Associate Degree · Veterinary/Animal Health Technologies/Technicians

a compact campus enrolling 2,083 students in Rosemount, MN.

Program Analysis

Dakota County Technical College's Animal Health Technologies graduates start at $36,866/yr — above the $32,474 national average, though not by a wide margin.

The 30.3x earnings multiple means ten-year projected earnings exceed tuition cost by an order of magnitude. Trade programs often deliver strong ratios, and this one is a standout.

AI risk is moderate — 29% task exposure — and the 1% scenario spread suggests disruption would dent but not destroy the earnings outlook for Animal Health Technologies graduates.

Loan repayment is a non-issue here — $10,295 in median debt clears fast against $36,866 in annual earnings.

Ranked #58 out of 169 programs, Dakota County Technical College's Animal Health Technologies offering sits in the upper half but doesn't break into the top tier.

One registered apprenticeship pathway (Veterinary/Lab Animal Tech (Alternate Title: Animal Care Specialist) with a median wage of $37,320/yr) connects to Animal Health Technologies careers, offering a paid training alternative to the classroom model.

50 /100
TradeSchoolOutlook Score
47
Low End
50
Score
50
High End
Earnings $36,866/yr (14% vs median)
AI-Proof Resilient (71% shielded)
Job Market Large (63,900 openings/yr)

Earnings Overview

Projected 10-Year Earnings
$389K
1.2% annual growth
Earnings Multiple
30.3x
10-year earnings ÷ tuition
Viable Career Paths
3 of 3
Occupations with strong AI resilience

Projected 10-Year Earnings

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

Program Tuition
$12,838
Median Debt at Graduation
$10,295
3.4 months of Year 1 earnings

Top Career Paths

Top career paths for Animal Health Technologies graduates by median salary.

Career Path Median Salary Growth AI-ProofAI
Health specialties teachers, postsecondary $105,620 +17.3% 52%
Veterinary technologists and technicians $45,980 +9.1% 84%
Veterinary assistants and laboratory animal caretakers $37,320 +8.7% 78%
Health specialties teachers, postsecondary
$105,620
+17.3% growth 52% AI-proof
Veterinary technologists and technicians
$45,980
+9.1% growth 84% AI-proof
Veterinary assistants and laboratory animal caretakers
$37,320
+8.7% growth 78% AI-proof

About Animal Health Technologies Careers

Your career begins on the front lines of animal care. You’ll be the one prepping a nervous dog for surgery, skillfully drawing blood for diagnostics, or running tests using lab equipment in a busy clinic or research facility. This is deeply hands-on work; you can’t comfort a frightened animal or assist in surgery from behind a computer screen. Your days are active, requiring both technical skill and compassion.

Read the full Animal Health Technologies career guide →

Compare & Explore

Animal Health Technologies Overview

Animal Health Technologies at Other Schools

Other Majors at Dakota County Technical College

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 Dakota County Technical College's Animal Health Technologies program score?
At 50/100, Dakota County Technical College's Animal Health Technologies program delivers middling returns. School cost and personal fit become important decision factors.
How affordable is Animal Health Technologies at Dakota County Technical College?
Median debt of just $10,295 against $36,866/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.
Is there demand for Animal Health Technologies workers?
The career paths mapped to Animal Health Technologies have roughly 63,900 combined annual openings nationally, making this a large job market. Trade careers in this field benefit from consistent replacement demand as workers retire.
Data from College Scorecard, BLS, and AI resilience research. Methodology & sources →