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Data Science, Analytics and Visualization (DS) Learning Outcomes

Upon completion of the undergraduate B.S. program in Data Science, Analytics & Visualization, students will be able to:

  1. Source, describe, and curate large, multimodal data sets (‘Big Data’);

  2. Apply foundational mathematical and statistical concepts and operations, including the application of up-to-date tools, that underlie data sourcing, management, analysis, and interpretation;

  3. Develop and implement approaches for effective data translation, dissemination, and communication between domains, stakeholders, and the public;

  4. Apply basic data modeling, predictive models, and visualizations to support decision-making, independently or in teams;

  5. Integrate an awareness of ethical issues and collective standards to positively influence the application of data science to service, justice and peace in working towards solutions for societal problems.