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.
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