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Mathematical Science Teachers, Postsecondary vs Computer Science Teachers, Postsecondary

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Mathematical Science Teachers, Postsecondary and Computer Science Teachers, Postsecondary on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Mathematical Science Teachers, Postsecondary Computer Science Teachers, Postsecondary
Median pay · BLS OEWS
$79,350
$96,690
Employment · BLS OEWS
48,820
36,240
AI exposure (percentile) · task overlap, not automation
87th pct
94th pct

At a glance

Dimension Mathematical Science Teachers, Postsecondary Computer Science Teachers, Postsecondary
Median pay $79,350 $96,690
Employment 48,820 36,240
Employment outlook (2024–34) · BLS projection About average (+2.3%) About average (+5.3%)
Annual openings · BLS projection 4,400 3,500
Typical education · O*NET Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
AI exposure · published exposure studies High · 87th pct High · 94th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 70th pct · 37% of tasks 70th pct · 37% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (65.0%) Augmentation-leaning (68.5%)
Mostly remote-capable · Dingel–Neiman Yes Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Mathematics, Mathematics, Education and Training, Speaking, Oral Expression, Reading Comprehension, Active Listening, Instructing, Oral Comprehension, Written Comprehension, Deductive Reasoning, Writing, Critical Thinking, Learning Strategies, Monitoring, Written Expression, Inductive Reasoning, Speech Clarity, English Language, Active Learning, Near Vision, Complex Problem Solving, Speech Recognition, Computers and Electronics, Information Ordering, Judgment and Decision Making, Systems Evaluation, Problem Sensitivity, Social Perceptiveness, Service Orientation, Systems Analysis.

Specific to Mathematical Science Teachers, Postsecondary

  • Mathematical Reasoning
  • Number Facility
  • Time Management
  • Fluency of Ideas
  • Originality
  • Coordination
  • Category Flexibility
  • Memorization

Specific to Computer Science Teachers, Postsecondary

  • Customer and Personal Service
  • Engineering and Technology
  • Administration and Management
  • Administrative
  • Design
  • Public Safety and Security
  • Communications and Media
  • Personnel and Human Resources

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Word processing software , Data base user interface and query software , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Development environment software , Computer based training software , Information retrieval or search software .

Specific to Mathematical Science Teachers, Postsecondary

Specific to Computer Science Teachers, Postsecondary

Full profiles

This page is a summary. See the complete source-backed profile for Mathematical Science Teachers, Postsecondary or Computer Science Teachers, Postsecondary — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Mathematical Science Teachers, Postsecondary vs Computer Science Teachers, Postsecondary." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/mathematical-science-teachers-postsecondary-vs-computer-science-teachers-postsecondary

APA

Singulariki. (2026). Mathematical Science Teachers, Postsecondary vs Computer Science Teachers, Postsecondary. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/mathematical-science-teachers-postsecondary-vs-computer-science-teachers-postsecondary

BibTeX 
@misc{singulariki-mathematical-science-teachers-postsecondary-vs-computer-science-teachers-postsecondary,
  title  = {Mathematical Science Teachers, Postsecondary vs Computer Science Teachers, Postsecondary},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/mathematical-science-teachers-postsecondary-vs-computer-science-teachers-postsecondary}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.