Mathematical science teachers, postsecondary
SOC Code: 25-1022
Mathematical science teachers, postsecondary carries a 36% AI exposure score (Medium automation risk), with a median annual wage of $79,350 and +2.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 58,900 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 36% AI exposure, Mathematical science teachers, postsecondary sits 1 points below the 37.2% average across 832 U.S. occupations - more exposed than 56% of them. Most of its core tasks still require human judgment.
Where Mathematical science teachers, postsecondary sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Mathematical science teachers, postsecondary has ai exposure of 36%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Mathematical science teachers, postsecondary vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Mathematical science teachers, postsecondary is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Occupation Insight
Mathematical science teachers, postsecondary (SOC 25-1022) carries an AI exposure score of 36%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 58,900 workers in this occupation in 2024, and projects a +2.3% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $79,350, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Doctoral or professional degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Mathematical science teachers, postsecondary. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Compile, administer, and grade examinations, or assign this work to others.
- 2. Evaluate and grade students' class work, assignments, and papers.
- 3. Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics.
- 4. Maintain student attendance records, grades, and other required records.
- 5. Prepare course materials, such as syllabi, homework assignments, and handouts.
- 6. Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
- 7. Maintain regularly scheduled office hours to advise and assist students.
- 8. Initiate, facilitate, and moderate classroom discussions.
- 9. Conduct research in a particular field of knowledge and publish findings in books, professional journals, or electronic media.
- 10. Keep abreast of developments and technological advances in the mathematical field by reading current literature, talking with colleagues, and participating in professional conferences.
Key Skills Required
- Mathematics
- Speaking
- Reading Comprehension
- Active Listening
- Instructing
- Writing
- Critical Thinking
- Learning Strategies
- Monitoring
- Active Learning
Knowledge Areas
- Mathematics
- Education and Training
- English Language
- Computers and Electronics
- Customer and Personal Service
- Administration and Management
- Physics
- Psychology
- Personnel and Human Resources
- Administrative
Frequently Asked Questions
Will AI replace Mathematical science teachers, postsecondary?
Mathematical science teachers, postsecondary has an AI exposure score of 36%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Mathematical science teachers, postsecondary?
According to BLS Employment Projections 2024-2034, Mathematical science teachers, postsecondary is projected to grow by 2.3% over the decade. Current employment stands at approximately 58,900 workers.
What skills are needed for Mathematical science teachers, postsecondary?
Key skills for Mathematical science teachers, postsecondary include Mathematics, Speaking, Reading Comprehension, and others. Typical entry-level education is Doctoral or professional degree.
How much do Mathematical science teachers, postsecondary earn?
The median annual wage for Mathematical science teachers, postsecondary is $79,350, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Mathematical science teachers, postsecondary?
The typical entry-level education for Mathematical science teachers, postsecondary is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Mathematical science teachers, postsecondary?
Mathematical science teachers, postsecondary roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
Career Guides
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).