Spring 2025 Application Timeline

1. We offer a wide spectrum of opportunities for our members across 6 different committees:
   • We cover a wide range of applications of statistics and data science, including machine learning, computer vision, natural language processing, and analytics.
   • Members can explore a wide range of roles within statistics and data science, including teaching, consulting in a team, and Kaggle competitions.
   • We have non-technical committees to learn soft skills and give back to the club (Internal and External Affairs).
2. We emphasize learning and professional development for our members through hands-on projects and workshops.
3. We have committees for students of all experience levels.
   • The Data Foundations committee caters towards those with little/no experience.
   • The Data Consulting committee is best suited for those that have completed projects that involve data analysis.

No, we do not. This is because we believe that a General Membership program implicitly creates a hierarchy within the club, with committee members being “above” general members. We want every member to feel equally valued and active in the club.

We have committees for students of all experience levels! For example, the Data Foundations committee caters towards those with little/no experience, while the Data Consulting committee is best suited for those that have completed projects that involve data analysis.
The amount of experience you need depends on the specific committee you are applying to.

The time commitment for each committee is at least 8-10 hours per week. The committee descriptions document contains more information on the time commitment expected for each committee!

The Data Mentorship committee is more guided, as members participate in workshops taught by the directors and complete assignments to apply what they learned in workshops. The client project for Data Mentorship doesn’t start until halfway through the semester. In contrast, the primary focus of the Data Consulting teams for the semester is completing the client project.