IT Flexible Apprenticeship (ITFA)
The 2023 ITFA Cohort is still accepting applications from students in the following majors:
- Management Information Systems
- Data Analytics
- IT Support Technician
- If you are not in one of these majors, your application will be considered for the 2024 ITFA Cohort, which begins in Autumn 2024.
Please read the Application Process section below and complete the program application. If you have questions about that process, including eligibility requirements, please email us at email@example.com. We're here to help!
The IT Flexible Apprenticeship is a two-year earn-and-learn program available to students in select Information Systems Technology majors (see the Eligibility section below for more information). Students who progress successfully through the program will enhance their learning by applying their classroom knowledge in the workplace, while picking up additional workplace skills that help with classroom performance. Highlights of the program include:
- During the first year, students complete full-time technical coursework while engaging in a rigorous career readiness program.
- At the end of year one, qualified students have the opportunity to interview with
employer partners to compete for a paid IT apprenticeship.
- The average wage for apprentices hired in 2022 was $22.94/hour. The majority of apprenticeships are part-time, but full-time opportunities are available.
- Students who are hired by an employer spend approximately 12 months in a paid apprenticeship
with the opportunity to be converted to full-time employment upon graduation.
- Since 2017, 80% of apprentices are converted to full-time regular employment.
After finishing his service in the armed forces, Garrett Braxton chose Columbus State for its career-focused classes. Through the ITFA program, Garrett applied what he was learning in real time, earned a competitive wage while still in college, and graduated with both an associate degree and a job as a software engineer at State Auto.
- Software Developer A.A.S.
- Cybersecurity A.A.S.
- **Web Developer A.A.S.
- **IT Support Technician A.A.S.
- **Management Information Systems A.A.S.
- **Network Administrator A.A.S.
- **Data Analytics Certificate
- **Data Center Technician Certificate
**A limited number of students are accepted from these programs for each cohort year.
- Applied and accepted to Columbus State. If you have not yet applied to the college, click here.
- Submitted official high school or GED transcripts to the college.
- High school seniors may apply prior to graduation, but will need to submit a final transcript as soon as it is available.
- College-level placement for Math, Writing, and Reading. College-level placement can be achieved through any combination of the following:
- Eligible to work in the United States without sponsorship.
- Current Columbus State students must have a minimum of 24 credit hours (approximately
4 semesters) remaining in their degree program, and a 2.0 or higher cumulative GPA.
- If you are unsure, or have a prior college degree, you should consult with an advisor in Business, Engineering, and Technologies.
- New students who have not attended college before should complete the appropriate New Student Program.
- Complete the ITFA program application below by September 30th, 2023. Applications submitted after September 30th may not be eligible for the 2023 ITFA Cohort.
Missed one of our recent events or simply wish to watch again? View recordings below from our most recent events!
Original Event Date: February 11, 2022
This workforce product was funded by a grant awarded by the U.S. Department of Labor's Employment and Training Administration. The product was created by the grantee and does not necessarily reflect the official position of the U.S. Department of Labor. The U.S. Department of Labor makes no guarantees, warranties, or assurances of any kind, express or implied, with respect to such information, including any information on linked sites and including, but not limited to, the accuracy of the information or its completeness, timeliness, usefulness, adequacy, continued availability, or ownership. This product is copyrighted by the institution that created it.
This material is based upon work supported by the National Science Foundation under Grant No. 1800612. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.