Near Completer Scholarship
Math and science students affected by the COVID-19 pandemic can get a scholarship to finish an Associate degree.
Have you experienced financial hardship due to the COVID-19 pandemic? Are you close to graduating but need financial assistance? If so, Salt Lake Community College has received a grant from the National Science Foundation to help students complete a math or science Associates Degree at SLCC. You can receive funding to help cover your tuition. The actual amount will depend on the number of credits for which you are registered. To receive the award, you must be able to complete your Associates degree at the end of Spring 2021 or Summer 2021.
To be considered for this award please complete this short form. Your application will be evaluated as soon as possible, and you will receive a reply at your Bruinmail email address.
Eligibility criteria:
- To receive an award, you must meet all the following conditions:
- You must register for at least 12 credit hours in Spring 2021.
- You must still be registered for at least 12 credit hours after the drop date on February 1, 2021.
- You must have a cumulative GPA of at least 2.70
- You must complete the form above describing how the Covid-19 pandemic has caused you financial distress.
- You must be a citizen or legal resident of the United States
Once you are notified of an award, you must complete these additional steps:
- If you have a valid FAFSA on file with SLCC there is no further action to take. If you do not have a FAFSA on file, then you must submit a copy of your birth certificate, passport, or immigration documents prior to receiving an award.
- You must meet with an Advisor and file a Degreeworks plan.
- You must apply to graduate in either Fall 2020 or Spring 2021 in one of SLCC’s STEM areas. Eligible programs include Biology, Biotechnology, Chemistry, Chemistry, Engineering, Engineering Technology, Geoscience, Geospatial Technology, Computer Science and Information Systems, Mathematics, or Physics.
This material is based upon work supported by the National Science Foundation under Grant No. 1458881. 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.