Summer 2026 Admitted Student Events

Welcome to the Columbia Statistics community! We encourage all incoming Fall 2026 MA in Statistics students to join our summer event series. These sessions are designed to help you prepare for the upcoming semester, explore research and professional opportunities, and connect with our thriving community. 

Event Registration Instructions – Please Login to Canvas using instructions below

Click here to log in to CourseWorks and register for the Summer events.

  • If you have a Columbia UNI, select “UNI Login” and sign in using your UNI and password. Please refer to the GSAS New Student Checklist page to activate your UNI and Columbia Email.
  • If you do not have a Columbia UNI, select “Guest Login” and sign in using the email address associated with your GSAS Admissions application.

Event Schedule

Mentored Research Panel: Student Insights & Experiences

  • Date & Time: Thursday, June 11, 2026 | 8:00 PM – 9:00 PM EST
  • Moderator: Professor Tian Zheng
  • About: Curious about how to take your academic journey to the next level? Join us for an inspiring conversation with recent MA in Statistics graduates who have been exactly where you are. They’ll dive into their firsthand experiences with cutting-edge mentored research in AI and data science, share insider tips on uncovering the best on-campus opportunities, and offer invaluable advice to help you pave your own path to success.

Professional & Career Development Webinar

  • Date & Time: Tuesday, June 16, 2026 | 9:30 AM – 10:30 AM EST
  • About: Students will gain a foundational understanding of the career development process and learn how to navigate the job search with confidence. The session covers resume optimization, networking strategies, finding job and internship opportunities, recruiting timelines, and application best practices.

    Participants will also learn about employer expectations, professional branding, and the career resources available through Columbia University. Whether you’re exploring career options or preparing for an active search, this session offers practical guidance and actionable next steps to help you move forward.

  • Key Topics: Effective networking, understanding recruiting timelines, navigating employer expectations, and accessing exclusive Columbia career resources.
  • Student Career Survey This survey helps us understand your career goals and professional interests after graduation. By sharing your target industries, aspirations, and job search plans, you enable us to offer more relevant resources, tailored career support, and meaningful networking opportunities throughout your time in the program.

MA Mentored Research: Faculty Spotlights

  • Date and Time: Thursday, June 18, 2026 | 9:30AM-11:00AM
  • Speakers: Marco Avella, Ph.D.; Sharon Di, Ph.D.; Khanh N. Dinh, Ph.D.; Tian Zheng, Ph.D. Liam Paninsk, Ph.D. 
  • About: Are you interested in pursuing research as part of your MA in Statistics experience? Join us for an exclusive webinar where you can hear directly from faculty members whose research spans a wide range of cutting-edge fields — from robust statistics and machine learning to urban transportation, cancer genomics, and AI-driven data science.

Columbia Student Life & Campus Services Webinar

  • Date & Time: Friday, June 26, 2026 | 9:30 AM – 10:30 AM EST
  • About: Your graduate experience is about so much more than just midterms and coding! Meet Columbia’s Graduate Student Life Team for a vibrant introduction to your new home away from home. From exploring bustling student clubs and navigating housing to unlocking essential campus services and mastering life in New York City, this session ensures you arrive ready to thrive both inside and outside the classroom.

Summer R/Python Coding Bootcamp

  • Date & Time: Tuesday, July 7 – Friday, July 31, 2026 | 8:00am-10:00am EST
  • Instructors: Alex Pijyan (R) & Ben Goodrich (Python) – Lecturers in Discipline, Department of Statistics
  • About: Hit the ground running this fall! This intensive, four-week bootcamp is your ultimate toolkit for a data-driven curriculum, equipping you with total fluency in R and Python—the ultimate power duo of modern statistics, data science, and quantitative research. Through interactive lectures and hands-on coding challenges, you’ll evolve from foundational principles to advanced data manipulation and stunning visualization, giving you the ultimate confidence boost before day one of classes.
  • Structure: The bootcamp is organized into two consecutive instructional modules: the first two weeks focus on R, followed by two weeks focused on Python. Review Full Course Overview and Syllabus here.

Preview Lecture: The Delta Method

  • Date & Time: Tuesday, July 7, 2026 | 9:30 AM – 11:00 AM EST
  • Featured Speaker: Gabriel J. Young-Lecturer in Discipline, Department of Statistics, MA Program Director
  • About: Consider this your strategic roadmap for the upcoming year! Join us for an essential deep dive into the program’s academic architecture. This lecture will walk you through upcoming course offerings and structural highlights, ensuring you have a crystal-clear vision of your academic journey ahead.

Math Refresher Course 

  • Date & Time: Wednesday, July 8 – Friday, July 17, 2026 | 9:00pm-11:00pm EST
  • Instructor: Prof. Dobrin Marchev – Lecturer in Discipline, Department of Statistics
  • Structure: Six courses taught 3 classes per week across two weeks.
  • About: Dust off those math muscles and gear up for Fall 2026! This optional, high-impact refresher is designed to sharpen your mathematical edge and ensure a seamless transition into graduate-level coursework. We will breathe new life into essential topics like calculus, linear algebra, and optimization, directly tying them to their real-world applications in probability and statistics.

Webinar on Course Registration & Program Essentials 

  • Date & Time: Tuesday, July 28, 2026 | 9:30 AM – 10:30 AM EST
  • About: The final countdown is on! This crucial, final session is designed to cross the t’s and dot the i’s before your classes officially begin. We will walk you step-by-step through the course registration portal and review key program requirements, ensuring you cross the starting line feeling completely prepared, organized, and stress-free.