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Computer Engineering at University of Maryland-College Park

College Park, MD · Public · Bachelor's Degree
73 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
75
Optimistic
73
Base Case
67
Pessimistic
Earnings $95,847/yr (22% vs median)
AI Risk Very High (71% exposed)
Job Market Very Large (167,700 openings/yr)
ROI 20.5x earnings multiple (5.8x out-of-state)
Ranked #111 of 174 Computer Engineering programs

How AI Changes the Outlook

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

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $999K $943K $725K
Earnings Multiple (In-State) 21.7x 20.5x 15.8x
Earnings Multiple (Out-of-State) 6.2x 5.8x 4.5x
Probability of Field Employment 84% 74% 43%
DegreeOutlook Score 75 73 67

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$46,020
Out-of-state: $161,224 (5.8x ROI)
4-Year Net Price (After Aid)
$62,360
-36% less than sticker · See by income
Median Debt at Graduation
$20,417
2.6 months of Year 1 earnings
Reported Earnings (4 Year)
$108,499
13% growth from Year 1

Program Analysis

Graduates earn $95,847/yr, edging above the $78,694 national average for Computer Engineering — a modest premium that suggests solid regional demand.

The 20.5x 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 — 71% task exposure — and the 27% scenario spread suggests disruption would dent but not destroy the earnings outlook.

At $20,417 in median debt against $95,847 in first-year earnings, graduates can expect to clear their loan balance in under six months of full earnings.

At #111 out of 174 programs, University of Maryland-College Park's financial outcomes for Computer Engineering trail the majority of peers. The value case depends on other factors.

About University of Maryland-College Park

With a 45% acceptance rate, University of Maryland-College Park is moderately selective, one of the larger campuses at 30,246 students in College Park, MD.

See all programs and financial aid at University of Maryland-College Park →

Top Career Paths

Architectural and engineering managers $167,740/yr
Computer hardware engineers $155,020/yr
Database architects $135,980/yr
View all 7 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 174 schools offering Computer Engineering →

Computer Engineering at Other Schools

University of Washington-Seattle Campus ($141,588) University of Washington-Bothell Campus ($141,588) University of Virginia-Main Campus ($118,232) California Polytechnic State University-San Luis Obispo ($111,560) Duke University ($111,145) Santa Clara University ($103,804) University of Illinois Urbana-Champaign ($103,123) Columbia University in the City of New York ($102,083)

Other Majors at University of Maryland-College Park

Computer Science ($99,756) Electrical, Electronics and Communications Engineering ($85,500) Chemical Engineering ($81,777) Engineering, Other ($80,931) Mathematics ($79,129) Aerospace, Aeronautical and Astronautical Engineering ($78,631) Civil Engineering ($76,731) Mechanical Engineering ($76,485)

Explore the Trade Alternative

Compare Computer Engineering trade programs on TradeSchoolWorth →

Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.

Frequently Asked Questions

How does University of Maryland-College Park's Computer Engineering program score?
A score of 73/100 reflects decent absolute metrics, but University of Maryland-College Park trails the majority of Computer Engineering programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer Engineering to AI automation?
AI won't 'replace' Computer Engineering careers outright, but it is likely to reduce the number of job openings. We model 71% 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 →