Data Science Specializations

Consider your specialization options

Our broad, blended curriculum provides the foundation to build the knowledge and experience necessary to create an in-demand skillset in this rapidly growing field. We offer five specialization tracks, which allow you to refine your skills to your area of interest, giving you the expertise needed to give you an advantage in your career path.

Foundational Data Science

Students can learn the fundamentals of data science, from data analysis to the principles of machine learning, database concepts, algorithm design, statistical theory, and more.

Data Systems

Embedded systems, the concepts of databases, cloud computing, distributed systems, and big data applications are just some of the areas of focus for students who are interested in the design, implementation, and study of data systems.

Network and Applied Data Science

Students interested in network and applied data science learn the fundamentals of network science and data visualization, and they can apply their knowledge to a variety of areas, such as big data, data mining, analytics, biology, and more.

Data Science Design

This area focuses on making data science more useful and understandable through design, including through visualization and prototyping, as well as creating strategies that allow data science concepts to be more consumable.

Biological and Health Science

Students interested in the biological and health science track learn how to combine data science with the natural sciences to improve healthcare outcomes and our understanding of our world through digital biology, data analysis, analytics, and more.