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Computational Science Degree

Bachelor's Degree Intelligence Report · CIP 30.30

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)
💵 Median Earnings (4yr)
$104,864
Annual, 4 years post-graduation
🎓 Median Student Debt
N/A
⚡ Structural Leverage Score
72/100
Salary + debt relief + career autonomy

🏆 Deep Specialization

Computational Science graduates flow into one concentrated career domain. This is a high-conviction major — if you love the field, the career pool is deep and specialized.

Computer & Mathematical

16 occupations mapped

🤖 AI Resilience
82/100 AI-Resilient
💡 Creativity
62/100 High Creative Demand
🎯 Work Autonomy
70/100 Moderate Autonomy
🔥 Burnout Demand
44/100 Balanced
🌱 THRIVE Index
65/100 Moderate Thrive
🏠 Remote Work
72/100 Remote-Friendly
🤝 Social Impact
36/100 Low Impact
Social Battery
🔬 Deep Focus Mode

The Reality Check

A Computational Science bachelor’s degree is a direct pipeline into high-paying, technically demanding roles in the Computer & Mathematical cluster. With median four-year earnings of $104,864, you are looking at a starting salary that outpaces most STEM graduates—think data scientist, computational engineer, or quantitative analyst. There is no student debt figure here, which likely means graduates from the sampled programs carry manageable or no debt, so your early career dollars go straight to savings or lifestyle, not loan payments.

The catch: this is a deep specialization degree. You are not getting a generalist ticket; you are training for a narrow set of occupations that require strong quantitative reasoning and programming fluency. If you pivot away from computational work, your degree loses value fast. The market rewards you for being a technical expert, not a jack-of-all-trades. Expect to compete with applied math and computer science graduates for the same roles—your edge is the interdisciplinary computational lens, but you must prove it with projects and internships.

The Vulnerability Audit

Your JobPolaris AI Resilience of 82/100 signals that this career path is among the most automation-resistant you can choose. The work involves modeling complex systems, designing algorithms, and interpreting ambiguous data—tasks that require human judgment and domain-specific creativity. You are not at risk of being replaced by a chatbot or script.

The real vulnerability is burnout. A Burnout Demand score of 44/100 falls in the Balanced range, which sounds safe, but the Autonomy score of 70/100 (Moderate Autonomy) means you will often answer to project leads or client demands. Computational roles in finance or tech can involve crunch periods, tight deadlines, and high-stakes deliverables. The career ceiling is not low—you can advance to lead data scientist or research director—but you must actively manage your workload and boundaries. Without that, the "balanced" score becomes a trap of chronic overwork.

The Thrive Verdict

You thrive here if your Social Battery is set to Deep Focus Mode. This career rewards people who can disappear into a problem for hours, iterate on models, and communicate findings only when necessary. The THRIVE Index of 65/100 (Moderate Thrive) indicates that satisfaction is real but conditional—you need intellectual challenge, autonomy over your methods, and tolerance for solitary work. The Creativity score of 62/100 (High Creative Demand) confirms that you will be paid to invent novel solutions, not just execute scripts.

The person who succeeds is a systematic problem-solver who enjoys the craft of building computational tools, not the politics of managing teams. If that sounds like you, get your hands dirty with open-source projects and real datasets before graduation. Your degree is a launchpad—now build the portfolio that proves you can land the rocket.

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