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High upside

BACHELORS | WA | FOR PROFIT

Computer Software and Media Applications at DigiPen Institute of Technology

This page puts upside and risk on the same screen so Degreeli can answer the real question: does this degree path still look worth it once completion friction is part of the math?

Degree Value Scorecard

Computer Software and Media Applications

DigiPen Institute of Technology

Credential: BACHELORSState: WAData confidence: Medium

Editorial Verdict

High debt risk relative to expected outcomes. Compare lower-cost alternatives before committing.

Degreeli Value Score

0Score

Caution Zone

Data Confidence: Medium

Directional value

0/100

Estimated Net Cost

$0

Estimated Debt

$0

Early-Career Salary

$0

Mid-Career Salary

$0

Category breakdown

Cost Efficiency

17.9/20

Cost Efficiency

Debt Risk

9.2/20

Debt Risk

Earnings Outlook

20/20

Earnings Outlook

Payback Timeline

0.6/15

Payback Timeline

Completion / Outcome Confidence

6/10

Completion / Outcome Confidence

Graduate Worth-It Reviews

5/10

Graduate Worth-It Reviews

Parent / Student Clarity Signal

2.5/5

Parent / Student Clarity Signal

Cost and debt

Estimated net cost

$177,784

Estimated debt

$92,448

Debt risk

High

Salary and outcome outlook

Early-career salary

$95,453

Mid-career salary

$156,640

Salary outlook

Strong

Payback estimate

Payback years

0.0 years

Completion/outcome

Moderate completion signal

Review signals

Graduate review rating

3.4 / 5

Parent review signal

Parents should pressure-test debt before committing

Student signal

Students should compare faster-payback paths

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Sample scorecard preview

DigiPen Institute of Technology

Computer Software and Media Applications

Degreeli Value Score

61/ 100
Caution ZoneMedium confidence

Estimated Debt

$42K

Early Salary

$54K

Payback

Moderate

Reviews

4.1 / 5

Good outcome potential, but cost control matters. Compare aid packages and lower-debt alternatives before committing.

Strengths and risks

Top strengths

  • Cost looks efficient relative to expected early-career pay.
  • Earnings outlook is strong for a first-decade career path.

Main risks

  • Debt risk rises quickly if borrowing approaches the modeled estimate.
  • Payback could take longer than many families expect.
  • Graduate review signal is limited or modeled.

Why this score?

Caution Zone is a Degreeli Value Score v1 directional read based on modeled cost ($177,784), estimated debt ($92,448), early-career salary ($95,453), payback, completion, and review signals. The strongest signal is that cost looks efficient relative to expected early-career pay. The main caution is that debt risk rises quickly if borrowing approaches the modeled estimate. Data confidence is medium, so this should support comparison rather than act as a guarantee.

The Degreeli Value Score is directional, not a guarantee of salary, employment, or personal financial outcome.

Methodology and data confidence

Data confidence is medium. Cost, salary, payback, review, and outcome fields should be read as decision support, not financial advice.

Methodology

Programs

Inspect this path, then stack it against alternatives.

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Current school + degree

Computer Software and Media Applications at DigiPen Institute of Technology

Expand the core read on debt, salary, payback, review context, and score confidence before comparing.

61

Caution Zone

Data Confidence

Medium

Estimated Debt

$92,448

Early Salary

$95,453

Payback

9.7 years

Worth-It Rating

3.4 / 5

Strengths

Cost looks efficient relative to expected early-career pay.

Earnings outlook is strong for a first-decade career path.

Risks

Debt risk rises quickly if borrowing approaches the modeled estimate.

Payback could take longer than many families expect.

Graduate review signal is limited or modeled.

High debt risk relative to expected outcomes. Compare lower-cost alternatives before committing.

Better-value alternatives

Compare nearby paths before deciding.

These are sample comparison options from the current preview catalog, not a claim of full national coverage.

Expand

University of Pennsylvania

Finance and Financial Management Services

Completion ROI

$5,994,269

Payback

2.4 years

Columbia University

Legal Research and Advanced Professional Studies

Completion ROI

$5,919,991

Payback

1.8 years

Bottom Line

High upside

Computer Software and Media Applications looks viable, but not automatic. It still produces positive ROI after completion adjustment, which means the upside survives a more realistic enrollment path.

The main thing to watch is slippage between ideal and risk-adjusted outcomes. Degreeli estimates that completion risk trims about $886,324 off the on-time case here.

$44,446 School Net Price
61% School Graduation Rate

Risk Lens

How much value disappears once completion risk is acknowledged?

Ideal Case

$2,269,716

Risk-Adjusted Case

$1,383,392

Value At Risk

$886,324

Degreeli uses this gap to show how much value depends on finishing the program and reaching the expected outcome.

Verified reviews

Verified reviews of Computer Software and Media Applications

Only approved reviews tied to DigiPen Institute of Technology and this specific program appear here. Reviewer identities stay private while verification badges explain how affiliation was checked.

No approved reviews yet.

Degreeli publishes only reviews that pass email verification, affiliation checks, automated screening, and moderator approval. Be the first to submit a verified review for this page.

Career AI Exposure

Higher Exposure (74/100)

This path may face higher entry-level AI friction, especially in routine and digital-first tasks.

AI Exposure is a second lens beside ROI. It should inform comparison, not replace judgment.

Directional estimate from BACHELORS taxonomy and program naming patterns. Replace with occupation-linked datasets as coverage expands.

Exposure Components

Read AI risk as task mix, not destiny.

Entry-Level Friction

79/100

Human Judgment Premium

58/100

Physical-World Durability

28/100

Higher exposure does not mean a path is bad. It means families should compare specialization paths, skill depth, and adaptation speed alongside ROI.

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What should a family stack against this path?

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