Data Science & Statistics

Data Science & Statistics

The minor in data science & statistics prepares students to address the challenges of collecting, understanding, and presenting structured and unstructured data from a variety of different domains and contexts. Minor RequirementsCourses
Data Science Minor Receives Project for Peace Grant
Anush Margaryan, a senior from Avshar, Armenia, ran a STEM camp this summer for refugees in Armenia. Margaryan, a Richmond Scholar who is majoring in biochemistry and molecular biology and minoring in data science, says growing up in a small village made it difficult to find resources and mentors in STEM, and she hoped to provide this access to displaced Armenian youth.

Data Visualization Grant-Funding

Statistics professor Taylor Arnold and digital humanities professor Lauren Tilton recently received grant funding for two data science projects. They received a $485,000 grant from the Mellon Foundation for their Distant Viewing Toolkit project, an open-source technology for the computational analysis of visual culture. Arnold and Tilton have also received a nearly $325K grant from the National Endowment for the Humanities to support a project to build open-source software for collecting and analyzing digital images.

Faculty Highlights

Jiang awarded tenure and promotion

Yucong Jiang was promoted to associate professor of computer science. Her current research focuses on building software to analyze music-related data, especially performance data. Her latest project is aimed at visualizing technical aspects of an instrumental performance to provide multifaceted feedback to the player.

Yang awarded tenure and promotion

Melinda Yang was promoted to associate professor of biology. Her research focuses on using and developing computational population genetic tools to study the evolutionary history and genetic variation of species, especially humans, by analyzing both ancient and present-day genomes. Her work combines assessing the robustness of these tools with uncovering demographic relationships, with a particular emphasis on ancient human populations.