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Computing machine operator education requirements

Updated January 8, 2025
2 min read
Usually, computing machine operators don't need a college education. The most common degree for computing machine operators is high school diploma with 40% graduates, with only 22% computing machine operator graduates earning associate degree. Computing machine operators who decided to graduate from college often finish University of Wisconsin - Stevens Point or Southern New Hampshire University. Some good skills to have in this position include calipers, grinders and hand tools.

What education do you need to become a computing machine operator?

What degree do you need to be a computing machine operator?

The most common degree for computing machine operators is high school diploma, with 40% of computing machine operators earning that degree. The second and third most common degree levels are associate degree degree at 22% and associate degree degree at 18%.
  • High School Diploma, 40%
  • Associate, 22%
  • Bachelor's, 18%
  • Diploma, 14%
  • Other Degrees, 6%

What should I major in to become a computing machine operator?

You should major in business to become a computing machine operator. 18% of computing machine operators major in business. Other common majors for a computing machine operator include computer science and criminal justice.

Best majors for computing machine operators

20 best online courses for computing machine operators

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1. Computer Vision with Embedded Machine Learning

coursera

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems. This course, offered by a partnership among Edge Impulse, OpenMV, Seeed Studio, and...

2. Machine Learning for Computer Vision

coursera

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course. MATLAB is the go-to choice...

3. Quantum Computing and Quantum Machine Learning - Part 1

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Foundational Course for Quantum Computing and Quantum Machine Learning...

4. QC101 Quantum Computing & Intro to Quantum Machine Learning

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Math-Based Introduction to Quantum Computing, Cryptography & Quantum Machine Learning. Code with Python, Q#, & Qiskit...

5. Operating Systems from scratch - Part 2

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Learn memory management in operating systems as operating system forms the core of computer science...

6. Operating Systems from scratch - Part 1

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Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

7. The Complete Machine Learning Course with Python

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Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

8. DP-100: A-Z Machine Learning using Azure Machine Learning

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Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning...

9. Machine Learning with Javascript

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Master Machine Learning from scratch using Javascript and Tensorflow JS with hands-on projects...

10. Operating Systems Final Part (4): File Systems & Threads

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4.6
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Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

11. [2023] Machine Learning and Deep Learning Bootcamp in Python

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Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement Learning in Keras and Tensor Flow...

12. Operating Systems Part 3: Synchronization and Deadlock

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Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

13. Machine Learning and Data Science Hands-on with Python and R

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Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more...

14. AWS Certified Machine Learning Specialty 2023 - Hands On!

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AWS machine learning certification preparation - learn Sage Maker, generative AI, data engineering, modeling & more...

15. Machine Learning: A Beginner's Basic Introduction

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Learn Machine Learning Basics with a Practical Example...

16. Introduction to Machine Learning for Data Science

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A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...

17. Azure Machine Learning using Cognitive Services

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Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more!...

18. Executive Briefing: Machine Learning

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Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

19. No-Code Machine Learning: Practical Guide to Modern ML Tools

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Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & Data Robot...

20. Machine Learning No-Code Approach: Using Azure ML Studio

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A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio...

Average computing machine operator salary by education level

According to our data, computing machine operators with a Associate degree earn the highest average salary, at $32,368 annually. Computing machine operators with a Bachelor's degree earn an average annual salary of $32,093.
Computing machine operator education levelComputing machine operator salary
High School Diploma or Less$31,827
Bachelor's Degree$32,093
No Education$30,638
Some College/ Associate Degree$32,368

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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