Stem Summer Institute
Stem Summer Institute at Pace University
The Seidenberg School of Computer Science and Information Systems and The STEM Collaboratory NYC® are thrilled to announce our 7th annual STEM Summer Institute. We are seeking motivated students in the metropolitan area to be our “High School Students in Residence.” Whether your students are programmers, developers, gamers, artists, designers, architects, environmentalists, engineers, or simply looking to explore new territory, they will find a creative place to develop their interests and skills at the Seidenberg School.
Some of the Perks:
- Guest lectures from STEM industry professionals.
- Site visits to promising startup(s), prominent firm(s), and museum(s).
- Network with STEM industry professionals and pre-professionals.
- Explore STEM career opportunities, new interests and make new friends and colleagues.
- Free lunch will be provided each day.
- Fun and engaging!
Dates & Times
The free two-week program will take place in New York City from July 8th to July 19th 10AM-4PM.
The STEM Summer Institute will be held at the Seidenberg School of Computer Science in downtown Manhattan at Pace University.
What to Expect
During the two weeks, students will get the opportunity to learn how to code, to use design thinking methodologies, to work with the Billion Oyster Project (BOP) on Governor’s Island, experience workshops and hands-on inquiry-based learning, and visit tech companies like Microsoft and Google.
STEM Summer Institute = Incredible Future Opportunities
The program is intensive, engaging, inquiry-based learning, non-stop, and a lot of fun. Many students find that attending the STEM Summer Institute directly helps with their college and job applications. The site visits, networking opportunities, and guest lectures from industry professionals make for an unforgettable experience where lifelong friendships are formed and the next generation of STEM professionals is created.
To apply, please find our application here. The deadline to apply is June 28, 2019 at 6 PM EDT.
"This material is based upon work supported by the National Science Foundation under NSF EHR DRL. 1839656/PI Lauren Birney. 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."