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Computer Science at Marymount University

Arlington, VA · Private nonprofit · Bachelor's Degree · Computer and Information Sciences, General
73 /100
DegreeOutlook Score (Base Case)
74
Optimistic
73
Base Case
67
Pessimistic
Earnings $68,364/yr (9% vs median)
AI Risk Very High (69% exposed)
Job Market Very Large (338,800 openings/yr)
ROI 5.4x earnings multiple
Ranked #264 of 443 Computer and Information Sciences, General programs

How AI Changes the Outlook

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

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $879K $848K $668K
Earnings Multiple 5.6x 5.4x 4.3x
Probability of Field Employment 80% 74% 42%
DegreeOutlook Score 74 73 67

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$156,200
4-Year Net Price (After Aid)
$100,612
36% less than sticker · See by income
Median Debt at Graduation
$27,000
4.7 months of Year 1 earnings
Reported Earnings (5 Year)
$91,788
34% growth from Year 1

Program Analysis

First-year earnings of $68,364 at Marymount University come in 9% above the national median of $62,617 for Computer Science programs.

At 5.4x the cost of in-state tuition, the ten-year earnings outlook represents a strong return. Not exceptional, but meaningfully positive.

AI risk is moderate — 69% task exposure — and the 24% scenario spread suggests disruption would dent but not destroy the earnings outlook.

With first-year pay of $68,364 far exceeding the $27,000 median debt, the payback timeline is measured in months, not years.

At #264 out of 443 programs, Marymount University's financial outcomes for Computer Science trail the majority of peers. The value case depends on other factors.

The five-year earnings trajectory from $68,364 to $91,788 shows 34% growth, reflecting steady but unremarkable salary progression.

About Marymount University

Marymount University accepts 81% of applicants — an open-access institution by design, a smaller institution with 1,795 students in Arlington, VA. Financial aid reduces the effective four-year cost to $100,612 — 36% less than the list price.

See all programs and financial aid at Marymount University →

Top Career Paths

Computer and information systems managers $171,200/yr
Computer and information research scientists $140,910/yr
Database architects $135,980/yr
View all 14 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 443 schools offering Computer Science →

Computer Science at Other Schools

University of Pennsylvania ($146,204) University of California-Los Angeles ($136,099) Yale University ($133,293) Rice University ($131,154) Northeastern University ($115,587) Northeastern University Professional Programs ($115,587) University of Michigan-Ann Arbor ($113,634) University of Illinois Urbana-Champaign ($113,503)

Other Majors at Marymount University

Registered Nursing, Nursing Administration, Nursing Research and Clinical Nursing ($80,090) Business Administration, Management and Operations ($48,217) Political Science and Government ($41,186) Criminal Justice and Corrections ($35,642) Psychology, General ($33,277) Design and Applied Arts ($33,180) Biology, General ($31,156) Specialized Sales, Merchandising and Marketing Operations ($29,825)

Explore the Trade Alternative

Compare Computer Science 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 Marymount University's Computer Science program score?
A score of 73/100 reflects decent absolute metrics, but Marymount University trails the majority of Computer Science programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer Science to AI automation?
AI won't 'replace' Computer Science careers outright, but it is likely to reduce the number of job openings. We model 69% 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 →