Summer Prep Program

Summer Prep Program

As an incoming student in the Master of Arts (MA) in Statistics program, we want to ensure you have a smooth transition and a strong start. Our Summer Prep Program, facilitated by Statistics Ph.D. students, is designed specifically for you. The program is provided as part of the MA Statistics & Data Science degree program. Participation is optional, but highly recommended.

Why Participate?

  1.  Review Core Concepts:
    • Refresh your understanding of essential topics such as calculus, linear algebra, and probability theory.
    • Gain confidence in foundational concepts that will be crucial throughout your studies and will give you a jumpstart on your first semester in the MA Statistics & Data Science program.
  2.  Connect with Peers:
    • Meet fellow students who share your passion for statistics.
    • Build a supportive network that will enhance your learning experience.

Program Details

  • Duration: The program runs for 2 weeks, typically right before the Fall semester begins.
  • Schedule: Sessions are held on weekdays on campus for 4 hours per day
  • Topics Covered:
    • Mathematical Foundations: Strengthen your grasp of key mathematical concepts.
    • Statistical Methods: Explore fundamental statistical techniques.
    • Probability: Focus on the fundamental concepts of probability theory

How to Participate

  1.  Registration: A Google Form will be sent to incoming MA Statistics & Data Science students to register. There is no addition fee as this program is provided as part of the MA Statistics & Data Science program.
  2.  Access Materials: You’ll receive access to a bCourses page 1-2 weeks before the in-person sessions.
  3.  Program Format: Incoming students are expected to work on the materials/problem sets before the in-person sessions begin. The in-person review sessions will be facilitated by Statistics Ph.D. students who will review topics and answer questions.

How to Prepare During Summer

  • Texts to Review: Probability - Jim Pitman & Mathematical Statistics and Data Analysis - John Rice

Additional Preparation

  • The Statistics Department has also held Python and R workshops for campus wide participants. These workshops have been offered at no additional fee.