Learning Outcomes

Upon completing the MS in Data Science, students will be able to:

  • Apply statistical modeling, data management, and data manipulation to support actionable insight.
  • Design advanced workflows and applications to solve complex challenges in life sciences and healthcare.
  • Lead teams across business functions to define problems, identify appropriate data, analyze sufficiency, and create visualizations to drive decision-making.
  • Communicate effectively with multiple constituencies about properties of computer coding, task workflows, databases, and issues with data, including sufficiency, representation, and distribution.
  • Explain machine learning, algorithms, and ethical challenges they represent in context with data science and their impacts on society.
  • Critically evaluate data integrity and sufficiency and make recommendations to resolve issues.