The integrative concentration consists of a minimum of 5 full courses (or the equivalent), 1 experiential component, and a learning portfolio.
Note: Students must earn minimum grades of C- or P for all courses that apply toward the integrative concentration.
Data science is the study of principled, scientific methods for collecting, managing, analyzing, and decision-making using data. It synergizes and builds upon the computational problem solving of computer science, the analytical skills of statistics and mathematics, and the designed data collection and experimentation of the natural and social sciences to unlock insights and knowledge from large- and small-scale data in diverse mediums (e.g., numbers, text, audio, images, and video).
Visit the Data Science webpage for more information.
Students wishing to complete the Data Science integrative concentration should consult with a member of the concentration advisory group and complete the Integrative Concentration form. The form requires the signature of one of the co-chairs.
Adam Eck (Computer Science)
See the full list of Data Science Integrative Concentration Advisory Group Members