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Why Math Matters: Careers That Fuel America’s Economy

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Proficiency in postsecondary math is key to building a future-ready workforce. Occupations that use math skills are projected to grow 10% by 2034 — much faster than the national average of 3% across all occupations.

By leveraging cutting-edge AI and rigorous learning science, Learnvia can help train a "math-ready" workforce for the 21st-century economy. The nonprofit’s Calculus I pilot is being deployed now, with plans to expand to over 100 schools nationwide by fall 2026 and additional gateway mathematics courses in the coming years.

— Source: U.S. Bureau of Labor Statistics

Math Skill Needed

Examples of Fast-Growing Jobs (Projected 2024-34)

What This Level Means

Career Families

Math Skills Important

  • Nurse practitioners (+40%)
  • Information security analysts (+29%)
  • Medical and health service managers (+23%)
  • Ophthalmic medical technicians (+20%)
  • Industrial machinery mechanics (+16%)
  • Medical assistants (13%)
  • Electricians (+10%)
  • Construction managers (+9%)
Uses practical quantitative reasoning to perform work safely and efficiently.
  • Skilled trades and installers
    (construction, HVAC, plumbing)
  • Health care support and
    diagnostics
  • Business operations and
    insurance
  • Utilities and industrial
    operations
  • Transportation and public safety
  • Clean energy and advanced
    maintenance

Math Skills Very Important

  • Operations research analysts (+22%)
  • Computer and information research scientists (+20%)
  • Epidemiologists (+16%)
  • Financial managers (+15%)
  • Personal financial advisers (+10%)
Applied, job embedded math used daily.
  • Engineering and advanced
    manufacturing
  • Software, databases, and
    networks
  • Health care practice and clinical decision-making
  • Finance, accounting, and business analysis
  • Skilled trades that rely on
    measurement and precision

Math Skills Extremely Important

  • Data scientists (+34%)
  • Actuaries (+22%)
  • Statisticians (+9%)
Advanced modeling, statistics, and engineering math.
  • Data science, AI, statistics
  • Quantitative finance, insurance, and risk
  • Engineering design and
    infrastructure planning
  • Measurement, surveying, and
    estimation
  • Postsecondary teaching and research