
Modern Manufacturing
Work-Study (MMWS)
Now recruiting for the 2022 cohort of the MMWS Program! Interested students should
complete the MMWS Program Application. Have questions? Email experientiallearning@cscc.edu.
Current student participants of the MMWS Program needing assistance of any kind should
email Carole James, at cjames41@cscc.edu.
Mandatory Onboarding Workshops for All Incoming 2022 Cohort Participants
If you have applied and been accepted to the 2022 cohort of the MMWS Program, please ensure you attend one of the below mandatory onboarding workshops where your MMWS advisor will confirm your academic schedule for the upcoming 2022 autumn semester.
Workshop DatesSelect the date and time that works best for you. |
Program Overview
Manufacturers have become modernization hubs – embracing sophisticated technology
to improve efficiency and production, including software, automation, and robotics.
The Modern Manufacturing Work-Study Program (MMWS) at Columbus State allows students
to dive into a challenging advanced manufacturing career while receiving the education needed
to build their resumes and make them highly marketable to manufacturers across the
state. The MMWS program combines classroom and lab learning with the opportunity for
a paid work-study position at a local industry partner. Work-study participants receive
an average of $18, helping them graduate debt-free.
This career path offers an opportunity to play an important role in producing the goods we all rely on - from cars and medical devices to consumer products and aerospace parts - while earning an average annual salary of $50,000-$60,000.
Program Benefits
You'll Earn:
- An Associate in Applied Science in Engineering Technology
- Approximately 1,800 hours of academic and on-the-job training and work experience
- Potentially zero student-loan debt
- Opportunity for full-time employment with a sponsoring employer
Eligibility
Eligible Majors:
- Electro-Mechanical Engineering Technology
- Mechanical Engineering Technology
- Electronic Engineering Technology
- Logistics Engineering Technology
Additional Eligibility Requirements:
- Must show “College Readiness” through ACT/SAT scores, high school transcript, placement testing, or prior college transcripts
- Must be legally able to work in the United States
Summer Camps
Not sure if this field is right for you? Student currently enrolled in high school can explore this career field for free at a hands-on, technical summer camp. Learn more at www.cscc.edu/summercamps.
Program Participant Testimonials

Anton Dela Fuente
Anton’s path into engineering began in high school studying Science, Technology, Engineering, and Math (STEM) through Project Lead the Way. His credits transferred directly toward his Electro-Mechanical Engineering degree. Upon graduation, Honda offered Anton a full-time position as a robotics technician. He has also gone on to pursue his bachelor's degree.
Anton's Story
Erica Miller
As a kid, Erica was always fascinated with figuring out how things worked, so Electro-Mechanical Engineering was a great fit. After completing the Modern Manufacturing Work-Study program, Erica graduated debt-free with her Associate of Applied Science and landed a full-time job as a Maintenance Technician I at partner company Stanley Electric.
Erica's StoryWatch a Recent Event
Missed one of our recent events or simply wish to watch it again or share it out? View recordings below from our most recent events:
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, 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. 1400354. 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.