Multi/Interdisciplinary Studies

What the occupations pay

Median annual wage across the occupations this field of study leads to, from BLS OEWS (national, cross-industry, May 2024). The middle range is the 25th–75th percentile of those occupation medians — it describes the field, not any one job or graduate.

AI exposure of this field of study

Two published studies estimate how exposed each occupation is to today's AI. The OpenAI "GPTs are GPTs" study rates the share of an occupation's tasks a large language model (with tools) could speed up by half or more; averaged across the occupations this field of study leads to it is 49% — 76th percentile of all fields of study. The independent Felten/Raj/Seamans AI Occupational Exposure index averages 1.04 here.

Computed across the 80 of 86 occupations this field leads to that carry a published exposure score.

The most-exposed fields of study lead to knowledge, language and analytical work; the least-exposed lead to physical trades and hands-on production. Exposure measures where AI could assist tasks, not a prediction that these jobs will be automated; high exposure most often means augmentation. Bands are comparable across the cluster, education, job-zone and field-of-study tiers (same two studies, same percentile method).

Where this field of study leads

The largest occupations connected to this field by the CIP–SOC crosswalk, by employment. Wage and employment describe the occupation, not an individual.

Programs in this field

A sample of the detailed CIP programs within this family. The full family contains 62 programs.

• 30.1601 Accounting and Computer Science
• 30.2201 Ancient Studies/Civilization
• 30.3401 Anthrozoology
• 30.1701 Behavioral Sciences
• 30.0101 Biological and Physical Sciences
• 30.1001 Biopsychology
• 30.7102 Business Analytics
• 30.2299 Classical and Ancient Studies, Other
• 30.2202 Classical, Ancient Mediterranean, and Near Eastern Studies and Archaeology
• 30.3501 Climate Science
• 30.2501 Cognitive Science, General
• 30.2599 Cognitive Science, Other
• 30.3001 Computational Science
• 30.2502 Contemplative Studies/Inquiry
• 30.1202 Cultural Resource Management and Policy Analysis
• 30.3601 Cultural Studies and Comparative Literature
• 30.2601 Cultural Studies/Critical Theory and Analysis
• 30.7101 Data Analytics, General
• 30.7199 Data Analytics, Other
• 30.7001 Data Science, General
• 30.7099 Data Science, Other
• 30.7103 Data Visualization
• 30.3701 Design for Human Health
• 30.5202 Digital Humanities
• 30.5201 Digital Humanities and Textual Studies, General
• 30.2801 Dispute Resolution
• 30.3801 Earth Systems Science
• 30.3901 Economics and Computer Science
• 30.4001 Economics and Foreign Language/Literature
• 30.4101 Environmental Geosciences

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.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• CIP-2020 2020 U.S. National Center for Education Statistics
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic

Data compiled June 3, 2026. Figures are estimates, not advice.

@misc{singulariki-multi-interdisciplinary-studies,
  title  = {Multi/Interdisciplinary Studies},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; CIP-2020 2020; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/programs/multi-interdisciplinary-studies}
}