Data Science
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Program Type
Overview
The Data Science Major degree program combines computational and inferential reasoning to draw conclusions based on data about some aspect of the real world. Data scientists come from all walks of life, all areas of study, and all backgrounds. They share an appreciation for the practical use of mathematical and scientific thinking and the power of computing to understand and solve problems for business, research, and societal impact.
The Data Science Major will equip students to draw sound conclusions from data in context, using knowledge of statistical inference, computational processes, data management strategies, domain knowledge, and theory. Students will learn to carry out analyses of data through the full cycle of the investigative process in scientific and practical contexts. Students will gain an understanding of the human and ethical implications of data analytics and integrate that knowledge in designing and carrying out their work.
The Data Science major requirements include DATA C8 and DATA C100, the core lower-division and upper-division elements of the major, along with courses from each of the following requirement groups:
Foundations in Mathematics and Computing
Computational and Inferential Depth
Modeling, Learning and Decision Making
Probability
Human Contexts and Ethics
Domain Emphasis
All students will select a Domain Emphasis, a cluster of one lower division course and two upper division courses, that brings them into the context of a domain and allows them to build bridges with data science.