🎓

Data Analytics Degree

Bachelor's Degree Intelligence Report · CIP 30.71

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

📊

Structural ROI Scorecard

Source: U.S. Dept. of Education College Scorecard (Bachelor's, 4yr post-grad)

💵 Median Earnings (4yr)

$55,693

Annual, 4 years post-graduation

🎓 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).

🔀 Fork in the Road — Two Distinct Career Paths

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

🔑 Primary Path

Business & Financial Operations

4 occupations mapped

🤖 AI Resilience

92/100 Highly AI-Resistant

💡 Creativity

66/100 High Creative Demand

🎯 Work Autonomy

77/100 High Autonomy

🔥 Burnout Demand

42/100 Balanced

🌱 THRIVE Index

68/100 High Thrive

🏠 Remote Work

71/100 Remote-Friendly

🤝 Social Impact

40/100 Low Impact

Social Battery

🔄 Adaptive Collaborator

🔀 Alternative Path

Computer & Mathematical

4 occupations mapped

🤖 AI Resilience

85/100 AI-Resilient

💡 Creativity

62/100 High Creative Demand

🎯 Work Autonomy

66/100 Moderate Autonomy

🔥 Burnout Demand

40/100 Balanced

🌱 THRIVE Index

65/100 Moderate Thrive

🏠 Remote Work

78/100 Remote-Friendly

🤝 Social Impact

32/100 Minimal

Social Battery

🔬 Deep Focus Mode

The Reality Check

You are entering a market where the entry-level payoff is stable but not immediate. With median earnings of $55,693 against $24,750 in debt, your debt-to-income ratio is manageable, but you won't be wealthy on day one. This degree is a "Fork-in-the-Road" credential that forces an early choice: do you want to be the person who builds the models, or the person who explains them to the CEO?

The JobPolaris Structural Leverage Score of 56/100 indicates that while your skills are necessary, you lack the immediate gatekeeping power of a licensed professional. In the Business & Financial Operations track, you are a translator. In the Computer & Mathematical track, you are an architect. To move the needle on your earnings, you must choose a side early; generalists in this field often get stuck in mid-level reporting roles.

The Vulnerability Audit

Your strongest shield is an AI Resilience score of 92/100 in the business path. While AI can automate basic data cleaning, it cannot replace the "Adaptive Collaborator" who interprets nuance for stakeholders. However, the technical path shows a lower resilience of 85/100. As LLMs become more proficient at writing Python and SQL, the "Deep Focus" roles face higher pressure to produce complex, non-standard logic that machines can't yet replicate.

The burnout demand is surprisingly balanced at 40/100, but don't mistake this for an easy ride. The real risk is the moderate Autonomy score (66/100) in technical roles. You may find yourself executing "data pulls" for others rather than driving your own projects. Your career ceiling is determined by your ability to move from a "data fetcher" to a "strategic architect."

The Thrive Verdict

You will thrive here if you possess a high social battery for "Adaptive Collaboration." The Business path’s THRIVE Index of 68/100 rewards those who enjoy high autonomy and creative storytelling with numbers. If you prefer "Deep Focus Mode," you can still succeed, but you must be comfortable with the lower autonomy of technical production environments.

The ideal profile is someone who views data as a tool for persuasion, not just a mathematical truth. This degree favors the person who can toggle between a spreadsheet and a boardroom without losing their breath. Focus your final year on mastering one specific industry—like logistics or healthcare—to turn your general degree into a high-leverage asset.