Uses data to predict when machines will fail and fix them before they break.
You analyze vibration and temperature data from 500 motors, spot one heading for failure, and schedule a repair before it stops the line.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 4 years after high school. Mechanical or industrial engineering degree; CRE or CMRP.
Ways in: 4-year college. Training cost: $15k – $60k.
Majors to look at: Mechanical Engineering, Industrial Engineering.
Growing faster than average. No separate BLS projection for this specialty; rating is an estimate based on industry trends.
Medium risk for 10 years. AI now predicts failures from sensor data, automating much of the analysis; plant fixes and judgment stay human.
Classes: AP Calculus, Physics, AP Statistics, Computer science.
Official data: O*NET occupation 17-2112.
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