National Science Foundation (NSF) S-STEM scholarship program
Davenport University received a five-year, $650K grant to educate low-income, academically talented students.
According to the NSF, the Scholarships in Science, Technology, Engineering and Mathematics (S-STEM) program addresses the need for a high-quality STEM workforce and contributes to the success of low-income, academically talented students. Qualified students are eligible to receive up to $7,000 per year that is to be used to help eliminate any intermittent external conflicts that may pose barriers to full-time enrollment in their degree program –– such as a full-time job.
Recipients must be enrolled full-time pursuing either a B.S. in Computer Information Systems (CIS) or Computer Science (CS).
Davenport University is recognized as a National Center for Academic Excellence in Cyber Defense (CAE-CD) by the National Security Agency and the Department of Homeland Security.
- Academic-year stipends averaging around $7,000 per year
- Scholars participating in the program will be eligible for the university's Employment Guarantee
- Mentoring and coaching from a local industry expert in the field
- Scholarship applications for the 2021-22 academic year have closed.
- Scholarship applications will re-open in January 2022 for the 2022-23 academic year.
- Complete the application
Provide supporting documentation:
Recognitions, honors and awards
1 letter of reference
Students participating in the NSF S-STEM program at Davenport University must meet the following requirements:
- Attending school on a full-time basis while receiving a scholarship under the S-STEM program
- Student pursuing a B.S. in Computer Information Systems (CIS) or Computer Science (CS)
- A United States citizen or Permanent Resident*
- Maintain good academic standing: 3.0 out of 4.0 GPA (undergraduates)
- Complete the degree program successfully and on time
NSF S-STEM eligible College of Technology programs:
To view the scholarship information session that was held on January 13, please click here
This material is based upon work supported by the National Science Foundation under Grant No. 2030655. 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.