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Computer Numerically Controlled (CNC) Machinist Technology/CNC Machinist at Florence-Darlington Technical College

Computer Numerically Controlled (CNC) Machinist Technology/CNC Machinist at Florence-Darlington Technical College

If you are interested in studying computer numerically controlled (CNC) machinist technology/CNC machinist, you may want to check out the program at Florence-Darlington Technical College. The following information will help you decide if it is a good fit for you.

Florence-Darlington Technical College is located in Florence, South Carolina and approximately 3,315 students attend the school each year.

Want to know more about the career opportunities in this field? Check out the Careers in Computer Numerically Controlled (CNC) Machinist Technology/CNC Machinist section at the bottom of this page.

Florence-Darlington Technical College Computer Numerically Controlled (CNC) Machinist Technology/CNC Machinist Degrees Available

  • Basic Certificate in Computer Numerically Controlled (CNC) Machinist Tech (Less Than 1 Year)

Florence-Darlington Technical College Computer Numerically Controlled (CNC) Machinist Technology/CNC Machinist Rankings

Note: Rankings don't always give a complete picture of a school's strengths and weaknesses, so it's a good idea to extend your research and also look at other factors when trying to decide if the school is right for you.

Careers That Computer Numerically Controlled (CNC) Machinist Tech Grads May Go Into

A degree in computer numerically controlled (CNC) machinist tech can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for SC, the home state for Florence-Darlington Technical College.

Occupation Jobs in SC Average Salary in SC
Machine Tool Operators 2,880 $43,220
Computer Numerically Controlled Machine Tool Programmers 250 $51,870

References

*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.

More about our data sources and methodologies.

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