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Data Science Degree

Bachelor's Degree Intelligence Report · CIP 30.70

Part of Multi/Interdisciplinary Studies · Data sourced from O*NET, U.S. Dept. of Education College Scorecard & IPEDS.

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Structural ROI Scorecard

Source: U.S. Dept. of Education College Scorecard (Bachelor's, 4yr post-grad)
πŸ’΅ Median Earnings (4yr)
$55,693
Annual, 4 years post-graduation
πŸŽ“ Median Student Debt
$24,750
Debt-to-Earnings: 0.44x
⚑ Structural Leverage Score
56/100
Salary + debt relief + career autonomy

⚠️ Earnings data estimated from CIP family average (direct program data unavailable).

πŸ”€ Fork in the Road β€” Two Distinct Career Paths

Data Science graduates split into distinct career clusters with meaningfully different psychometric demands. Understanding which fork fits your brain type is the entire game.

πŸ”‘ Primary Path

Computer & Mathematical

6 occupations mapped

πŸ€– AI Resilience
84/100 AI-Resilient
πŸ’‘ Creativity
63/100 High Creative Demand
🎯 Work Autonomy
71/100 Moderate Autonomy
πŸ”₯ Burnout Demand
37/100 Low Demand
🌱 THRIVE Index
65/100 Moderate Thrive
🏠 Remote Work
77/100 Remote-Friendly
🀝 Social Impact
32/100 Minimal
Social Battery
πŸ”¬ Deep Focus Mode
πŸ”€ Alternative Path

Management

3 occupations mapped

πŸ€– AI Resilience
88/100 Highly AI-Resistant
πŸ’‘ Creativity
61/100 Moderate Creativity
🎯 Work Autonomy
77/100 High Autonomy
πŸ”₯ Burnout Demand
42/100 Balanced
🌱 THRIVE Index
67/100 Moderate Thrive
🏠 Remote Work
65/100 Hybrid Capable
🀝 Social Impact
50/100 Moderate Impact
Social Battery
πŸ”„ Adaptive Collaborator

The Reality Check

The Data Science Bachelor’s presents a "Fork-in-the-Road" reality. You aren't just learning to code; you are choosing between being a technical specialist or a data-driven manager. With median earnings of $55,693 against $24,750 in debt, the initial math is favorable. You will likely clear your loans within five years if you stay within the Computer and Mathematical cluster.

However, a Structural Leverage Score of 56/100 suggests this degree doesn't grant automatic entry into elite roles. The market is increasingly crowded with generalists, so your financial survival depends on moving past entry-level data cleaning into high-value modeling or management. You must specialize early to outpace the median and justify the tuition.

The Vulnerability Audit

Your primary protection is a JobPolaris AI Resilience score of 84/100. While AI might write basic scripts, it cannot replace the high-level architectural thinking required in the technical path. The risk here isn't being replaced by a machine; it’s being pigeonholed. With a Burnout Demand of 37/100, the day-to-day is sustainable, but this low pressure can lead to skill atrophy if you don't actively seek harder problems.

In the Management path, your AI Resilience jumps to 88/100. The career ceiling here is higher because you are managing the interface between human strategy and machine output. The vulnerability lies in the "Moderate Autonomy" of the technical pathβ€”if you don't eventually transition toward leadership, you may find your decision-making power capped by those who understand the business better than the math.

The Thrive Verdict

The "Deep Focus" specialist thrives here by solving puzzles in isolation, utilizing a Creativity score of 63/100 to build novel algorithms. However, the highest THRIVE Index (67/100) belongs to the "Adaptive Collaborator." This profile succeeds by translating complex datasets for non-technical stakeholders. You need a temperament that balances technical rigor with the social agility to lead a team.

If you enjoy being the smartest person in a quiet room, stick to the technical fork. If you want more control over your projects, aim for the management track where Autonomy hits 77/100. Start building a portfolio that proves you can solve a specific business problem, not just run a regression model.

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