MS in Finance/MBA - MBA x Data Visualization

Program Description

Large, messy datasets are the raw material here, and the goal is finding patterns in them worth acting on — clusters, associations, anomalies and predictive signals. Students learn to prepare data, choose and tune algorithms, and test whether a result actually holds. Graduates often work in analytics, data engineering, product teams and research.