Department of Statistics Summer Internship Program Show Undergraduate students of Columbia College, Barnard College, the School of General Studies, and the School of Engineering and Applied Sciences are invited to apply to the Department of Statistics’ summer internship program. Students work under the supervision of faculty mentors. The internship provides summer housing and a stipend. Applicants should send a brief statement of interest and a copy of their transcript to Ms. Dood Kalicharan () in the Department of Statistics Office to be considered. Successful applicants will be notified by March 1, 2022. For summer 2022, the following projects are available. Please indicate the preferred project(s) in your statement of interest.
Questions about the program should be directed to Ronald Neath (). Additional Opportunities Columbia Summer Undergraduate Research Experiences in Mathematical Modeling (CSUREMM) is a full-time eight-week program for collaborative undergraduate student summer research experiences in mathematical modeling. The purpose of the summer program is two-fold: to introduce the participants to some of the advanced topics in mathematical modeling and simulation encountered in modern interdisciplinary research, and to allow the participants to propose and develop collaborative interdisciplinary research projects under the joint mentorship of Columbia graduate students and faculty. The program is open to any continuing Barnard/Columbia undergraduate student, independent of U.S. residency. We particularly encourage women and historically underrepresented minorities to apply. The Public Interest Technology Data Science Corps (PIT-DSC) program, is a collaboration between Columbia University and Lehman College , focused on research questions that have obvious societal impact and improve the lives of New Yorkers. The program is open to any continuing Barnard/Columbia undergraduate student, independent of U.S. residency. We particularly encourage women and historically underrepresented minorities to apply.STAR (Summer Training for Aspiring Researchers) Program is a six-week program during Summer Session A for undergraduate students who are aspiring to become future researchers in statistics, data science, or a related field. The goal of the STAR Program is to broaden the pathways into these fields for students who are from groups that are historically underrepresented. Through formal courses, skill workshops, networking events, and research seminars, the program aims to provide participants with intensive training in mathematics, probability, statistics, programming, and research skills, along with rich opportunities for professional and personal development. In addition, participants of the STAR Program will receive mentoring from graduate statistics students and interact with the faculty of the Department of Statistics at Columbia University. The program is open to Barnard, Columbia, and visiting undergraduate students who are rising sophomores/juniors/seniors and are U.S citizens or permanent residents. The Irving Institute for Cancer Dynamics offers a 10-week Summer Research Internship for Undergraduates to perform cutting-edge research at Columbia University. In addition to research, participants will attend weekly events, such as scientific seminars, workshops, career, and professional development events, lab tours, etc. Undergraduate students from mathematics, computer science, statistics, computational biology, data science, biology, engineering, etc. are welcome to apply. Students from traditionally underrepresented groups in STEM fields are strongly encouraged to apply. This research opportunity is for talented undergraduate students from the NYC area. Another outlet for undergraduate students looking to obtain research experience is the Data Science Institute (DSI) and Data For Good Scholars Program. Participate in a unique academic-industry collaboration to foster career exploration at the frontiers of engineering research. This ten-week program in New York City will allow you an opportunity to engage in cutting edge research on campus at Columbia University and be mentored by faculty and STEM professionals representing multiple career paths from academia and industry. But that’s not all.
Read about the 2021 SURE program Meet the 2021 SURE Fellows here 2021 SURE Cohort (photo by Jane Nisselson) Program HighlightsEXPLORE RESEARCH THAT IMPACTS HUMANITY
GET A FIRSTHAND LOOK AT TECHNOLOGY DEVELOPMENT
HONE YOUR PROFESSIONAL SKILLS & EXPAND YOUR NETWORK
ACCELERATE YOUR STEM CAREER
Share the SURE Program flyer >>ResourcesResearch OpportunitiesFaculty MentorsDepartment ResearchContactColumbia Engineering and Amazon Launch Undergraduate Program to Increase Diversity and Inclusiveness in Tech Fields Amazon-Columbia SURE Students Meet with Alexa AI VP IMPORTANT DATESInformation Session: January, 13, 2022 Program Dates: May 31 - August 5, 2022 Application Deadline: January 30, 2022 Selection Notifications: Early April, 2022 WHAT’S INCLUDED
SURE Program FAQsVisit our FAQs to learn more about the Columbia University and Amazon Summer Undergraduate Research Experience (SURE) Program or contact us at [email protected] Can undergrads do research at Columbia?Undergraduate research: a world of opportunity
Across schools, disciplines, departments, and subjects, there are countless research opportunities available to interested students—and just as many ways to find them.
Is Columbia good for research?Columbia is easily one of the best schools in the nation. Its reputation is predicated upon its commitment to research and innovation. The school boasts more Nobel Prize laureates than any other American university (84 to be exact).
What is SURF program Columbia?SURF program runs for 10 weeks, from May 31st through August 5th, 2022. During the 10 weeks of the program, the students work full-time (about 40 hours/week) on independent study projects under the guidance of a research scientist.
Is NYU a research university?In keeping with its mission as a research university, NYU strives, whenever possible, to include undergraduates in the production of knowledge.
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