The School of Data Science at the University of Virginia prepares students to become leaders in the field of data science.
Founded in 2013 as the Data Science Institute and already highly regarded, we combine a rigorous curriculum with a hands-on, collaborative approach to mold individuals who will work and act with integrity as they shape the future of the field. Data science has applications in every sector from healthcare to government to business. Our students know that ethics and curiosity yield the best insights, and are the keys to discovering the best solutions to solve real-world challenges..
On September 18, 2019, the UVA School of Data Science was officially established through a $120 million gift from the Quantitative Foundation, changing its name from the UVA DSI. As the new UVA School of Data Science, our mission, centered in education and research, remains the same.
The mission of the School of Data Science is to achieve excellence in data-driven discovery and education by undertaking cutting-edge research and cultivating the workforce of tomorrow.
We are an institute that crosses disciplines, departments, schools and colleges to leverage UVA’s combined capabilities in data science. We create meaningful public/private partnerships to foster innovation and excellence.
We prepare our students to apply innovative data science tools and techniques in a collaborative, ethical, and insightful manner.
UVA Master of Science in Data Science graduates are highly skilled at the science of data – from data engineering, to data modeling and visualization, to data analysis and reporting. At the School of Data Science, our students are taught the value of responsible data science in practice through a rigorous Master’s program with a focus on cultivating collaboration, integrity, knowledge, and technical ability. They apply their knowledge to real-world problems faced by leading organizations around the globe.
The School of Data Science alumni are employed by Amazon, Green Bay Packers, CIA, Capital One, MITRE, Morgan Stanley, NIH, McKinsey, Workday, Deloitte, Meetup, and Northrop Grumman, among many others, with titles like Machine Learning Engineer, Senior Data Analyst, Data Scientist, Analytics Consultant, Data Science Developer, and more.