BSDS and MSDS Program Coding Project Demo

We are excited to showcase coding projects created by current B.S. in Data Science and M.S. in Data Science students. Join us for a live coding demo hosted by the data science admissions team and chat with students from both programs before attending Spring Data Analytics Night, which is hosted by UVA Career Services and Data Science Career Services. 

Wednesday, February 25

Register for the Data Science Coding Demo | 5:00 PM - 6:00 PM 

Register for Spring Data Science & AI Night | 6:00 PM - 8:00 PM

Location: 1919 Ivy Road, Charlottesville

• Application deadline for MSDS Residential program - Fall 2026 is May 1, 2026
• Application deadline for BSDS program - Fall 2026 is April 30, 2026

MSDS Coding Demo

Location: Classroom 206

Ryan Dallas, a current MSDS residential student and program ambassador, will perform exploratory data analysis (EDA) and visualization using the Blood Donor Registry dataset from Kaggle. This demo will be using the pre-existing privacy-safe synthetic dataset, “Blood Donor Registry Data," which simulates blood donor operations.

Caroline Kranefuss, a current MSDS residential student and program ambassador, will present a live demo titled, "Accessing Taylor Swift Songs Using the Genius API." APIs, or application programming interfaces, are sets of protocols that enable different software applications to communicate with each other. In this demo, Caroline will use Genius’s API to search for information about Taylor Swift. This will include utilizing a Python package called LyricsGenius, which allows users to retrieve song lyrics from any track available on the Genius website.

BSDS Coding Demo

Location: Classroom 205

Rachel Seo, a current BSDS student and program ambassador, will present about her project from Systems II: Data Engineering class. Rachel used the Spotify Web API to analyze workout music curation patterns across different fitness categories. She collected data from 926 public workout playlists spanning 18 different search queries (workout, gym, HIIT, yoga, running, etc.), resulting in 152,933 playlist-track associations representing 30,124 unique tracks from 7,484 artists. The data includes track metadata (name, artist, album, duration, popularity, explicit content flags) and playlist information (category, follower counts, owner details).

Rudra Dave, a current BSDS student and program ambassador, will present about his project form his Machine Learning class. Rudra is building a small standalone project using a college completion dataset and a job placement dataset. The goal is to practice framing real-world questions (like what factors influence graduation or employment outcomes), cleaning and preparing the data, and seeing how well each dataset can answer those questions. Rudra is interested in comparing two very different datasets and testing how effectively they can be used to understand education and career outcomes.

Learn more about the full-time, in-person Residential MSDS; part-time, Online MSDS; or Bachelor of Science in Data Science at the University of Virginia.

 Request more information, connect with Admissions, or start your application today.