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This August, the department of Applied Statistics, Social Science, and Humanities (ASH) will be offering a math, statistics, and programming bootcamp which will run as a two-week long 0 credit course (APSTA-GE 2006). This bootcamp will provide instruction in key concepts in basic math, probability, and statistics skills that are considered required knowledge to many statistics courses. It will also introduce basic skills in the R statistical programming language. This course is open to NYU graduate students. It is co-sponsored by IES-PIRT.

Successful completion of this course will enable individuals at NYU interested in the applied statistics courses in ASH to start the sequence at APSTA-2003, space permitting, allowing them to bypass the more basic APSTA-2001 and 2002 course sequence. Graduate students can then spend program credits on more advanced courses and thus will be better prepared for their own research. 

The nominal cost of the course is $250 per student for NYU Steinhardt affiliates not in ASH and $500 per student for non-Steinhardt affiliates. Students outside of ASH cannot receive permission to enroll without this departmental support. If you are an IES-PIRT student, please reach out to steinhardt.a3sr@nyu.edu about enrollment. 

Newly admitted international students who will matriculate in the Fall semester have special considerations with regard to their visas -- if you are considering sponsoring this type of student please contact steinhardt.a3sr@nyu.edu for more information.

When: Monday, August 19, 2024 to Friday, August 30, 2024 (Monday to Friday, 10 sessions total)

Time: 9:00 am to 12 pm ET (3 hours)

Location: Hybrid

19 West 4th Street, Room 102
New York, NY 10003

Zoom link will be shared via Brightspace for those enrolled

Price: 

  • NYU Steinhardt affiliates not in ASH: $250*
  • Non-Steinhardt affiliates: $500

*For questions about financing, please reach out to Victoria Brunkhorst (vjb228@nyu.edu).

Bootcamp was instrumental in preparing me for the A3SR program. It helped refine my skills, introduced new coding techniques, and provided a solid understanding of the mathematical concepts we would encounter in the program. As a result, I entered the first semester feeling much more comfortable with the material than I would have otherwise. I'm grateful for that experience and would recommend any student, regardless of their level of math proficiency, to attend the camp to strengthen existing skills or develop new ones that will be useful throughout their time in A3SR."

Nick Lepore, Class of 2024