Computer Networking at Herzing University-Minneapolis

St. Louis Park, MN · Private nonprofit · Associate Degree · Computer Systems Networking and Telecommunications

With 94% of applicants admitted, Herzing University-Minneapolis prioritizes broad access, a smaller institution with 747 students in St. Louis Park, MN.

Program Analysis

At $43,901 per year, Computer Networking graduates from Herzing University-Minneapolis earn slightly above the $39,678 national median. The premium is real but not dramatic.

Every dollar of tuition returns an estimated 19.0x in decade earnings — an exceptional ratio that places this among the highest-ROI Computer Networking programs nationally.

Some AI exposure exists in Computer Networking's career paths, with 68% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 12% gap from the optimistic case.

Median debt of $24,410 represents roughly 7 months of the $43,901 starting salary — a manageable burden by trade school standards.

At #41 of 92 Computer Networking programs, Herzing University-Minneapolis scores above the median — competitive but not a standout.

Five-year earnings of $50,860 are relatively flat compared to the $43,901 starting salary — typical of trades with stable but capped salary bands.

One registered apprenticeship pathway (It Project Manager with a median wage of $171,200/yr) connects to Computer Networking careers, offering a paid training alternative to the classroom model.

60 /100
TradeSchoolOutlook Score
50
Low End
60
Score
62
High End
Earnings $43,901/yr (11% vs median)
AI-Proof Exposed (32% shielded)
Job Market Very Large (258,000 openings/yr)

Earnings Overview

Projected 10-Year Earnings
$521K
3.8% annual growth
Earnings Multiple
19.4x
10-year earnings ÷ tuition
Viable Career Paths
10 of 10
Occupations with strong AI resilience

Projected 10-Year Earnings

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

Program Tuition
$26,840
Median Debt at Graduation
$24,410
6.7 months of Year 1 earnings
Reported Earnings (5 Year)
$50,860
16% growth from Year 1

Top Career Paths

Top career paths for Computer Networking graduates by median salary.

Career Path Median Salary Growth AI-ProofAI
Computer and information systems managers $171,200 +15.2% 47%
Computer and information research scientists $140,910 +19.7% 37%
Database architects $135,980 +8.7% 6%
Computer and information systems managers
$171,200
+15.2% growth 47% AI-proof
Computer and information research scientists
$140,910
+19.7% growth 37% AI-proof
Database architects
$135,980
+8.7% growth 6% AI-proof

View all 10 career paths with full salary data →

Computer Networking Career Guide

From day-one roles to senior positions, Computer Networking careers span a range of specializations. Read the complete outlook for graduates entering engineering & technology.

Read the full Computer Networking career guide →

Compare & Explore

Computer Networking Overview

Computer Networking at Other Schools

Other Majors at Herzing University-Minneapolis

How Does a Bachelor's Degree Compare?

Four-year programs take longer but may unlock different career trajectories. See the data.

Frequently Asked Questions

How does Herzing University-Minneapolis's Computer Networking program score?
A score of 60/100 puts this program in competitive territory — solid outcomes, though not at the top of the Computer Networking field.
Should I worry about AI if I study Computer Networking at Herzing University-Minneapolis?
With 68% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $459,301 in decade earnings vs $520,938 in the optimistic case — a meaningful gap.
What's the job market like for Computer Networking from Herzing University-Minneapolis?
The career paths mapped to Computer Networking have roughly 258,000 combined annual openings nationally, making this a very large job market. Demand is driven by ongoing digital transformation and technology adoption.
Data from College Scorecard, BLS, and AI resilience research. Methodology & sources →