Specialized Sales & Marketing at LIM College

New York, NY · Private for-profit · Bachelor's Degree · Specialized Sales, Merchandising and Marketing Operations
48 /100
DegreeOutlook Score (Base Case)
49
Optimistic
48
Base Case
47
Pessimistic
Earnings $35,708/yr (-3% vs median)
AI Risk High (43% exposed)
Job Market Very Large (499,600 openings/yr)
ROI 4.6x earnings multiple
Ranked #20 of 42 Specialized Sales programs Top 50%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Specialized Sales & Marketing graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $599K $588K $538K
Earnings Multiple 4.7x 4.6x 4.2x
Probability of Field Employment 50% 45% 35%
DegreeOutlook Score 49 48 47

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$127,800
Median Debt at Graduation
$24,429
8.2 months of Year 1 earnings
Reported Earnings (5 Year)
$61,122
71% growth from Year 1

About LIM College

LIM College accepts 99% of applicants — an open-access institution by design, a smaller institution with 1,133 students in New York, NY.

See all programs and financial aid at LIM College →

Top Career Paths

Marketing managers $161,030/yr
Models $89,990/yr
First-line supervisors of non-retail sales workers $84,130/yr
View all 11 career paths with salary ranges and AI risk →

Compare & Explore

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Frequently Asked Questions

What is the DegreeOutlook Score for Specialized Sales & Marketing at LIM College?
A score of 48/100 indicates below-average financial outcomes for Specialized Sales & Marketing. Earnings, ROI, or AI risk factors are pulling the score down.
Will AI replace Specialized Sales & Marketing careers?
With 43% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $538,262 in decade earnings vs $599,117 in the optimistic case — a meaningful gap.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →