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Electrical Engineering at University of Massachusetts-Boston

Boston, MA · Public · Bachelor's Degree · Electrical, Electronics and Communications Engineering
59 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
61
Optimistic
59
Base Case
55
Pessimistic
Earnings $82,118/yr (6% vs median)
AI Risk Very High (56% exposed)
Job Market Large (54,500 openings/yr)
ROI 13.0x earnings multiple (5.4x out-of-state)
Ranked #243 of 262 Electrical programs

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Electrical Engineering graduates.

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $845K $808K $685K
Earnings Multiple (In-State) 13.6x 13.0x 11.1x
Earnings Multiple (Out-of-State) 5.7x 5.4x 4.6x
Probability of Field Employment 78% 70% 48%
DegreeOutlook Score 61 59 55

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$61,984
Out-of-state: $148,696 (5.4x ROI)
4-Year Net Price (After Aid)
$73,128
-18% less than sticker · See by income
Median Debt at Graduation
$24,477
3.6 months of Year 1 earnings

Program Analysis

First-year earnings of $82,118 at University of Massachusetts-Boston come in 6% above the national median of $77,516 for Electrical Engineering programs.

The 13.0x earnings multiple means ten-year projected earnings exceed tuition cost by an order of magnitude. By pure financial math, this is a standout.

AI risk is moderate — 56% task exposure — and the 19% scenario spread suggests disruption would dent but not destroy the earnings outlook.

With first-year pay of $82,118 far exceeding the $24,477 median debt, the payback timeline is measured in months, not years.

At #243 out of 262 programs, University of Massachusetts-Boston's financial outcomes for Electrical Engineering trail the majority of peers. The value case depends on other factors.

About University of Massachusetts-Boston

University of Massachusetts-Boston accepts 83% of applicants — an open-access institution by design, with a mid-sized student body of 11,848 in Boston, MA. Pell Grant recipients make up 43% of the student body — a marker of economic diversity.

See all programs and financial aid at University of Massachusetts-Boston →

Top Career Paths

Architectural and engineering managers $167,740/yr
Computer hardware engineers $155,020/yr
Aerospace engineers $134,830/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 262 schools offering Electrical Engineering →

Electrical Engineering at Other Schools

Carnegie Mellon University ($139,337) University of California-Berkeley ($137,295) Massachusetts Institute of Technology ($117,345) Cornell University ($100,516) The University of Texas at Austin ($96,997) Rice University ($96,751) National University ($93,417) Northeastern University ($92,222)

Other Majors at University of Massachusetts-Boston

Registered Nursing, Nursing Administration, Nursing Research and Clinical Nursing ($79,672) Computer and Information Sciences, General ($58,909) Biochemistry, Biophysics and Molecular Biology ($50,352) Business Administration, Management and Operations ($49,417) History ($46,908) Economics ($46,523) Social Work ($45,227) Biology, General ($42,721)

Is a Trade Program a Better Fit?

Compare Electrical Engineering trade programs on TradeSchoolWorth →

For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.

Frequently Asked Questions

How does University of Massachusetts-Boston's Electrical Engineering program score?
A score of 59/100 reflects decent absolute metrics, but University of Massachusetts-Boston trails the majority of Electrical Engineering programs on relative rankings. Context matters more than the raw number.
How vulnerable is Electrical Engineering to AI automation?
AI won't 'replace' Electrical Engineering careers outright, but it is likely to reduce the number of job openings. We model 56% 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 →