Student Learning Outcomes

1. Apply statistical concepts and methods, and utilize quantitative modeling methods, optimization and risk assessment techniques and machine learning algorithms to analyze complex data sets, and forecast future trends to support data-driven decisions.
2. Design and implement effective data management practices, and plan and execute data analysis projects using project management best practices, including managing stakeholders, resources, timelines and budgets.
3. Develop skills in effective data presentation and visualization, including analyzing different types of visualizations, selecting appropriate techniques, designing and delivering compelling data presentations and communicating insights to stakeholders.