The main focus area for this major is Data Processing Technology. For more details on this concentration, visit its profile page.
Data Processing is a major offered under the computer and information sciences program of study at Technical College of the Lowcountry. We’ve pulled together some essential information you should know about the associate degree program in data processing, including how many students graduate each year, the ethnic diversity of these students, and more.
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During the 2019-2020 academic year, part-time undergraduate students at TCL paid an average of $445 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $225 per credit hour. Information about average full-time undergraduate tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $5,400 | $10,680 |
Fees | $340 | $340 |
Books and Supplies | $1,240 | $1,240 |
Learn more about TCL tuition and fees.
Online degrees for the TCL data processing associate degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the TCL Online Learning page.
Women made up around 20.0% of the data processing students who took home an associate degree in 2019-2020. This is less than the nationwide number of 24.6%.
Racial-ethnic minority graduates* made up 30.0% of the data processing associate degrees at TCL in 2019-2020. This is lower than the nationwide number of 45%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 2 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 7 |
International Students | 0 |
Other Races/Ethnicities | 0 |
Data Processing students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Data Processing Technology | 10 |
*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.