Data Science

Adam D. Eck, David H. and Margaret W. Barker Associate Professor of Computer Science; chair

Joshua H. Davidson, Assistant Professor of Statistics and Data Science
Zeinab Mohamed, Assistant Professor of Statistics and Data Science

Affiliated Faculty/Staff
Nancy E. Darling, Professor of Psychology
Aaron D. Goldman, Associate Professor of Biology
Daphne John, Associate Professor of Sociology and Director of Assessment and Accreditation
Eric Lin, Associate Professor of Business
Kevin M. Woods, Professor of Mathematics

 Visit the program web page for up-to-date information on program faculty, visiting lecturers, and special events.

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).

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Majors, Minors, and Integrative Concentrations

• Data Science Major  
• Statistical Modeling Minor  
• Data Science Integrative Concentration  

Curriculum

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Private Reading Courses in the Program

• DATA 995F
• DATA 995H

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Courses

• DATA 101 - Introduction to Data Science
• DATA 113 - Introduction to Statistics
• DATA 201 - Data Computing and Visualization
• DATA 205 - Statistics and Modeling
• DATA 213 - Statistical Modeling
• DATA 237 - Bayesian Computation
• DATA 336 - Mathematical Statistics
• DATA 378 - Quasi-experimental design