Missouri University of Science and Technology
Rolla, MO · Public · Visit Website
Programs Analyzed
19
Avg Grad Earnings
$68,162/yr
Avg DegreeWorth Score
68/100
Tuition (In-State)
$14,278/yr
Out-of-state: $31,678/yr
All Programs at Missouri University of Science and Technology
19 degree programs ranked by DegreeWorth Score. Click any program for full AI scenario analysis and 10-year earnings projections.
| Program | DW Score | Earnings | AI Risk | ROI |
|---|---|---|---|---|
| Computer and Information Sciences, General | 86 | $76,869/yr | Very High | 16.9x |
| Computer Engineering | 81 | $78,964/yr | Very High | 17.5x |
| Information Science/Studies | 79 | $65,393/yr | Very High | 13.7x |
| Engineering-Related Fields | 75 | $72,708/yr | High | 14.8x |
| Electrical | 71 | $81,204/yr | Very High | 16.0x |
| Metallurgical Engineering | 70 | $80,627/yr | High | 15.4x |
| Aerospace | 70 | $76,183/yr | High | 15.6x |
| Mechanical Engineering | 70 | $75,855/yr | Very High | 15.0x |
| Chemical Engineering | 69 | $78,369/yr | High | 14.8x |
| Ceramic Sciences and Engineering | 68 | $77,305/yr | High | 12.5x |
| Civil Engineering | 68 | $70,664/yr | High | 13.2x |
| Nuclear Engineering | 67 | $77,947/yr | High | 14.2x |
| Architectural Engineering | 67 | $73,274/yr | High | 14.3x |
| Petroleum Engineering | 66 | $69,670/yr | High | 15.1x |
| Geological/Geophysical Engineering | 63 | $64,503/yr | High | 11.9x |
| Environmental Health Engineering | 61 | $57,679/yr | Very High | 12.4x |
| Geological and Earth Sciences/Geosciences | 52 | $47,352/yr | High | 7.3x |
| Biology, General | 52 | $33,761/yr | High | 9.2x |
| Applied Mathematics | 49 | $36,756/yr | Very High | 5.4x |
About This Data
DegreeWorth analyzes 19 bachelor's degree programs at Missouri University of Science and Technology using earnings data from the U.S. Department of Education College Scorecard, employment projections from the Bureau of Labor Statistics (2024–2034), and AI automation risk research from OpenAI and academic institutions.
The DegreeWorth Score (0–100) combines four equally weighted factors: graduate earnings, AI resilience, job market size, and return on investment. Each program page includes three AI scenarios (optimistic, base case, pessimistic) showing how automation could affect 10-year earnings.
Data: U.S. Department of Education College Scorecard (earnings, debt), Bureau of Labor Statistics 2024–2034
(employment projections), OpenAI GPTs-are-GPTs research (AI task exposure), Felten et al. AIOE.
Last updated 2025.