Here is an overview of this program at Career and Technology Education Centers of Licking County. It is offered at the Undergraduate Certificate level. Jump to any of the following sections:
The table below lists every degree level available for precision metal working at Career and Technology Education Centers of Licking County, along with how many graduates complete each level annually.
| Degree Level | Annual Graduates |
|---|---|
| Undergraduate Certificate | 15 |
During the most recent reporting year, Career and Technology Education Centers of Licking County conferred 15 undergraduate certificate degrees in precision metal working.
Career and Technology Education Centers of Licking County is not currently ranked for precision metal working at the undergraduate certificate level.
For the most recent academic year available, 93% of precision metal working undergraduate certificate degrees went to men and 7% went to women.
The largest share of precision metal working undergraduate certificate degree graduates at Career and Technology Education Centers of Licking County were White. About 100% of graduates fell into this category.
The following table and chart show the ethnic background for students who recently graduated from Career and Technology Education Centers of Licking County with a undergraduate certificate in precision metal working.
| Ethnic Background | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| White | 15 |
| Non-Resident Aliens | 0 |
| Other Races | 0 |
Career and Technology Education Centers of Licking County granted 11 undergraduate certificate completions in welding technology/welder in the latest year of data — 9% to women and 91% to men. Most of these graduates identified as White (100%).
Career and Technology Education Centers of Licking County conferred 4 undergraduate certificate completions in computer numerically controlled (cnc) machinist technology/cnc machinist recently — 0% to women and 100% to men. Most of these graduates identified as White (100%).
More about our data sources and methodologies.