Real-world applications of data is an integral part of the MSDS curriculum, and as a degree candidate you will investigate a variety of topics in both the academic and professional arenas.

The School of Data Science is committed to open data, open resources, and open analytics. Our mission is to apply what we learn to real-world issues and share our learnings with a wider community.

Examples of MSDS Student Projects

Robustifying Scholia

The School of Data Science at the University of Virginia (UVA) is developing Scholia, a tool based on the Wikipedia platform that aims to make academic research more accessible to scientists, organizations, and the general public.

Read more about Robustifying Scholia

The Creation of Muharjirat in America

With a grant from the National Institute of Justice, a research team is using machine learning to investigate how women are radicalized online.

Read more about The Creation of Muharjirat in America

Using AI to diagnose disease

Researchers Aman Shrivastava, Saurav Sengupta, Karan Kant and Luke Kang undertook a capstone project as part of the Master of Science in Data Science program to investigate methods with applicability to automated diagnosis of images obtained from gastrointestinal biopsies.

Read more about Using AI to diagnose disease

Connecting citizens with public data to drive policy change

Master of Science in Data Science researchers Lucas Beane and Elena Gillis undertook a capstone project to investigate possible reasons for the stagnation of the Cville Open Data Portal.

Read more about Connecting citizens with public data to drive policy change

Real-world applications of data is an integral part of the MSDS curriculum, and as a degree candidate you will investigate a variety of topics in both the academic and professional arenas.

The School of Data Science is committed to open data, open resources, and open analytics. Our mission is to apply what we learn to real-world issues and share our learnings with a wider community.