The Hyman Science Scholars Program is based on building a community for academically talented students majoring in Computer Science, Mathematics, Statistics, Data Science, or Physics. As a cohort, Scholars share certain activities and courses during their four years, while also having a group of mentors and advisors to guide them through college life and to inform them about opportunities beyond Loyola. As a result, a natural support network will be created for each Scholar made up of faculty and peer students.
The program also provides scholarships annually for students in the program who demonstrate financial need as determined by the Office of Financial Aid to study computer science, physics, mathematics, statistics, or data science at Loyola University Maryland. Financial need is not necessary to join our program, and the admission decision does not take financial need into account.
This program is preparing me to succeed in a career in STEM. Program faculty organize and inform students of events to help us find internships and learn more about our potential career paths. My professors care about my future, and they want me to be ready to work and have the experience required to succeed.
Apply to the Hyman Science Scholars Program
New Name, Same Program
Loyola's CPaMS Scholars Program is now the Hyman Science Scholars Program, thanks to the philanthropic support of a generous foundation whose leader has a passion for the sciences that will inspire the next generation of Loyola students. The only change is the name! Just like CPaMS Scholars, Hyman Science Scholars are academically talented students majoring in computer science, mathematics, statistics, data science, or physics. Students benefit from a cohort model through which they gain peer support and faculty mentorship, extracurricular enrichment, internship opportunities and career guidance in STEM-related fields.Contact Us
Questions about the Hyman Science Scholars Program? Send an email to hss@loyola.edu.
National Science Foundation
This material is based upon work supported by the National Science Foundation under
Grant No. 1458339