M.S. in Data Analytics and Visualization

Organizations are collecting more data than ever - and acting on less of it. Executives face dashboards they don't trust and AI-generated summaries they can't evaluate, and they need analysts who don't just produce analysis but know how to drive decisions with it. A flawed forecast shapes a budget. A misleading visualization drives a product decision that takes a year to unwind. The Katz School's master's in data analytics prepares you to be the analyst organizations depend on, someone who finds the signal in complex data, builds analytics that hold up under scrutiny, and communicates with clarity and credibility. You'll develop the analytical and visual intelligence that drives consequential decisions at every level of an organization. You'll interrogate complex datasets, build and validate predictive models, architect analytics pipelines, design compelling visualizations, and present findings to technical and executive audiences alike. Along the way, you'll build technical fluency across Python, SQLNoSQL, Tableau, Power BI, and cloud and Lakehouse platforms including AWS, Snowflake, and Databricks - and the judgment to know not just how to run an analysis, but which one will matter most.

Bachelor’s degree - with typical majors in computer science, data science, engineering, physics, mathematics, statistics and quantitative sciences as well as economics, finance, psychology with prerequisites. Prerequisites - one university course in each of the following: high-level programming, probability and statistics/statistics and calculus.