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Learning Outcomes

The design of the program is based on eleven learning outcomes developed through discussions between the computer science and statistics faculty. Each student’s plan of study should address these outcomes.

The outcomes answer the question: "What should a graduate of the Data Science program be able to do?"

  • Build statistical models and understand their power and limitations

  • Design an experiment

  • Use machine learning and optimization to make decisions

  • Acquire, clean, and manage data

  • Visualize data for exploration, analysis, and communication

  • Collaborate within teams

  • Deliver reproducible data analysis

  • Manage and analyze massive data sets

  • Assemble computational pipelines to support data science from widely available tools

  • Conduct data science activities aware of and according to policy, privacy, security and ethical considerations

  • Apply problem-solving strategies to open-ended questions