Apply Now! Summer Undergraduate Research Program through the Statistics Department (SURP-Stats) 2024
Sponsored by
Vice Provost for Undergraduate Education
Funding:
See maximum funding amount and funding details below
Open To:
Freshman
Sophomore
Junior
Senior
Co-term
Summer
Applications closed
Applications closed on February 4, 2024
This in-person (on campus) program matches students with faculty across campus doing research that includes statistics and/or data science. Students will also participate in regular lunch meetings with their peers, attend talks and professional development opportunities, and present at a final poster session. We are looking forward to fostering a supportive sense of community among our researchers!
Students who are selected for the program will receive a stipend of $7,500, with a needs-based supplement (of up to $1,500) for eligible students.
The program is 10 weeks long, starting on June 24, 2024 and ending on August 30, 2024. The deadline to apply is February 4, 2024 at 11:59pm. Stanford undergraduate students from any department who meet the prerequisites are encouraged to apply. Preference will be given to students in the Mathematical & Computational Science (MCS) and Data Science (B.S. and B.A.) programs.
Explore this opportunity further with the following links:
Details about the program (including eligibility and expectations)
Make sure to check out Data Science for Social Good (included in our list of projects)! Students interested in Data Science for Social Good will need to complete an additional application, which will be available on their website shortly.
Eligibility and Requirements:
This research opportunity is for current Stanford University undergraduate students only. To participate, students must not have conferred their undergraduate degree (even if they are a coterm student).
Stanford undergraduate students from any department who meet the prerequisites are encouraged to apply. Preference will be given to students in the Mathematical & Computational Science (MCS) and Data Science (B.S. and B.A.) programs.
Students should have taken some coursework in math, probability, statistics, data science, and/or computer science. Some course examples include: MCS/DATASCI 120, DATASCI 112, 154, STATS 32, 48N, 60, 101, 116, 117, 118, 141, 191, 195, 200, 202, 216, 217, 229, MATH 51-53, 104, 113, 151, CS 106A/B, 103, 107, 109, MS&E 120, 125, 226.
More specific prerequisite classes or skills are listed for each project.