Meet the Growing Demand for Data Science LeadersMeet the Growing Demand for Data Science LeadersMeet the Growing Demand for Data Science Leaders

Curriculum Spotlight

The MIDS multidisciplinary curriculum draws from the social sciences, computer science, statistics, management, and law and explores the ethical implications of data science. You will complete nine online courses and attend one in-person immersion experience with your classmates.

Statistical Methods for Discrete Response, Time Series, and Panel Data

Take a more advanced look at both classical linear and linear regression models, including techniques for studying causality and the fundamental techniques of time series modeling. The course emphasizes formulating, choosing, applying, and implementing statistical techniques to capture key patterns exhibited in data.

Machine Learning at Scale

Go beyond the collect-and-analyze phase of big data and focus on how machine learning algorithms can be rewritten and extended to scale to work on petabytes of data, both structured and unstructured, to generate sophisticated models used for real-time predictions.

Experiments and Causal Inference

Learn when a relationship has a causal meaning and when it has only an associational meaning, develop an understanding of the analytic framework of potential outcomes, and gain theoretical and technical skills to estimate causal quantities using randomization inference and regression.