How the Program Works
- You will attend class (CSC229 – Cybersecurity for Non-IT Majors) on the Penn College campus on Monday and Wednesday evenings from 5-6:30pm.
- The class will take place during the spring semester (1/13 to 5/8)
- All tuition fees ($1,716) for accepted applicants will be paid by the National Science Foundation
- 15 Students will be accepted for the Spring 2020 Semester
- 2 teachers will be accepted for the Spring 2020 Semester
Why You Should Apply
- You will earn 3 college credits for successfully completing the program. This is a $1,716 scholarship!
- There is a strong need for knowledge of information assurance and cyber defense principles across all industries.
- The program will help you build and apply problem-solving skills
- Teachers: successful completion of the class will prepare you to educate your students about cybersecurity risks. In addition, it will prepare you to offer the class at your home school via the PCNow program.
Who Should Apply
- High school juniors and seniors
- Female students, first-generation students planning to attend college, and/or low-income students are encouraged to apply
- Students interested in cyber security, computing, or STEM
- Teachers interested in knowing more about cybersecurity and/or teaching these subjects at your home school.
- Anyone with an interest in learning! No prior knowledge of computer programming and/or networking is required. You will be provided with the training you need.
You will be expected to meet the following requirements to qualify for this program:
- Students: be a junior of senior in a Lycoming, Clinton, Bradford, Tioga, or Sullivan County high school
- Teachers: be an educator at a school district in Lycoming, Clinton, Bradford, Tioga, or Sullivan County
- Apply for the program via this website
- If accepted, complete the Penn College Non-Degree Application
- Meet placement requirements (MTH005 and RDG111)
- Be in good academic and judicial standing with your high school and/or law enforcement
This material is based upon work supported by the National Science Foundation under Grant No. 1623525. 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.