The data science and analytics (DSA) major addresses the increasing demand for adept data analysts by combining coursework in applied data science with coursework in economics and cognitive, political and management science — areas where real-world problem solving increasingly relies on data-driven analysis to inform decision-making.

Data are generated everywhere, increasingly enveloping human experience by mediating our interactions with the natural, social and built world. Yet data often require refinement, reformatting and critical analysis before they can become usable information. To make data-informed decisions, such as raising or lowering taxes, hiring or dismissing an employee or investing or divesting in a business sector, for example, people need understand how to appropriately and ethically harness, classify and analyze data, along with methods for extracting actionable insights and effectively communicating results.

The DSA major provides students with courses across the entire data analytics pipeline with series of refinements including identifying and integrating appropriate data; understanding the strengths and weaknesses of data and its sources; extracting valuable insights by way of advanced visualization and inferential methods; and strategically communicating recommendations based upon analysis to maximally inspire persons and groups to take action.

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A typical student's course schedule in first-year and second-year: