Academics
The Sanghani Center offers cutting-edge interdisciplinary undergraduate and graduate programs in data science and analytics.
Our programs have a strong engineering and science focus that provide students in-depth technical skills necessary to lead the rapidly evolving field of big data, data science, and analytics.
Academic Approach
Data science is one of the fastest growing career paths in the nation, but unfortunately the demand for technical expertise is out-pacing supply. Technical expertise is needed to develop new methods, tools, and infrastructures required to support novel big data analytics operations in industry, government, and academia.
The successful practice of data science requires a combination of computation, statistics, and engineering, so that training in any one of these individual disciplines alone does not suffice. Sanghani Center programs train technical students with a broader view across these disciplines to enable them to successfully practice data analytics.
With campuses located both in Blacksburg and the greater Washington, D.C. area, our programs cater to a diverse group of students. Students acquire skills that will enable them to master the technical fundamentals of data science, develop new computational methods, and engineer new analytical tools.
Degree Programs and Certificates
Graduate Certificate in Data Analytics
Learn how to integrate the computational, statistical, and engineering techniques you need to pursue a career in big data analytics.
Graduate Certificate in Urban Computing
Learn to apply methods in data analytics, computational modeling, and visualization to help solve key issues in urban populations such as traffic flow, mass transit systems, and the spread of infectious diseases.
B.S. in Computational Modeling and Data Analytics
Learn to computationally model the real-world and discover hidden patterns in massive data sets. Administered by the Academy of Integrated Science with participation by the departments of Mathematics, Statistics, and Computer Science.