We’re a community
Our Core Pillars
curriculum
projects
professional development
community
Our Curriculum
Our self-designed curriculum supplements and enhances UCLA coursework by giving new members the necessary skills and knowledge necessary to complete end-to-end data science projects. The first part of our two-quarter curriculum covers everything from basic programming in Python to building advanced machine learning models. No programming experience is required and our members come from a wide array of majors, backgrounds, and skill sets. The second part of our curriculum allows members to undertake independent, self-guided projects which relate data science to topics of personal interest.
Our Projects
After completing DSU’s curriculum, every member has the opportunity to work on either an internal or client project each quarter. Members on internal projects work collaboratively with other members throughout the quarter to answer questions using techniques ranging from classical machine learning to deep learning. Members on client projects partner with companies to help answer their data-driven questions, providing critical exposure to data science in industry.
Professional Development
Since our overarching goal is to serve as a pipeline toward careers in data science, we offer many opportunities for professional development. These include networking events with working professionals, industry panels with data science experts, behavioral interview preparation workshops, and professional connections with our alumni and client network.
Our Community
In addition to help members grow professionally, we also place a large emphasis on personal growth. At DSU, we seek to cultivate an environment in which members can form meaningful and long-lasting friendships with each other. Every year, we host a number of events for our members, including club socials and our winter and spring retreats.