Summer Program

Quantitative Research in the Life and Social Sciences Program (QRLSSP)

Please read the information to the right before applying

(Please do not use Internet Explorer to submit your application)

Please use this link to go to the application form

The application for 2025 will open November 2024

Program Dates: May 27 - July 19, 2025

  • Undergraduates who have completed at least their sophomore year
  • Majoring in math, biology, or related fields
  • At least one year of calculus
  • African Americans, Latinos and Native Americans are strongly encouraged to apply
  • U.S. Citizens/Permanent Residents
  • $5,800 stipend 
  • Accepted students will be notified of awards by March 15
  • All application materials must be submitted by January 31st 
  • Late or incomplete applications will not be accepted
  • Completed QRLSSP Application: Accessible here: QRLSSP Application 
  • Personal Statement: In approximately 500 words, double spaced, please describe the following: 
    • Why are you applying to the QRLSSP summer research program?
    • What are your research interests?
    • What are your future career goals and what have you accomplished towards these goals?

                   *Please Note: a Resume/CV is not a personal statement

  • College/University Transcripts: A copy of your college/university transcript is required AND must be sent by the university. Official electronic transcripts will be accepted. Unofficial transcripts will not be accepted. Please email to: qrlssp@asu.edu or mail to the address below.
  • Faculty Form & Letter of Recommendation:
    • Only one letter of recommendation is required.
    • The letter of recommendation should to be written on university letterhead and emailed from the faculty reference.
    • The form and letter of recommendation must be received by January 31st.

 

  • Application requirement checklist (for reference):

 

 

Applications and supporting documents may be submitted via the following options:

                  1. Applications and Personal Statement: 

                            must be submitted via the online application, https://mcmsc.asu.edu/qrlssp/summer-program

                  2. College/University Transcripts:

                            please email to qrlssp@asu.edu or mail to the address below.

Arizona State University
QRLSSP Summer REU
P.O. Box 873901
Tempe, AZ 85287-3901 

 

Please note when submitting your application online, Firefox and Chrome are the preferred web browsers, please do not use Internet Explorer. 

If you have any questions regarding the application process or issues submitting your application, please email qrlssp@asu.edu.

PREPARE FOR THE RIGORS OF GRADUATE SCHOOL:

QRLSSP is an intensive summer research experience that prepares undergraduate students for the rigors of graduate level research at the interface of mathematics, statistics, and the natural and social sciences. Select students are invited to Arizona State University for eight weeks, where their time is split between classroom instruction on research methods and hands-on research projects.

QRLSSP is a research experience for undergraduates (REU); it is not an internship, and students will NOT earn college credit for participation.

HIGH QUALITY INSTRUCTION FROM EXPERIENCED FACULTY:

Participants receive intensive instruction in dynamical systems, stochastic processes, computational methods and modeling delivered by respected scientists and guest speakers from a wide variety of disciplines.

STUDENT-DRIVEN COLLABORATIVE RESEARCH:

At QRLSSP, students do not work alone.  Everything, from homework to research, exists in a collaborative environment with fellow participants, graduate students, postdoctoral students, and visiting scholars.  Students work in self-selected groups on research problems of their own choosing, while collaborating with experienced faculty and graduate student mentors. Students, not faculty, select their research topics. By the end of the summer, students have complete a high-quality technical report and research poster, which are presented at national conferences to an audience of their peers and colleagues.