Learn data science methods and tools, get hands-on training in data analysis and machine learning, and find opportunities in a growing field.
Computational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques.
Bayesian nonparametrics provides modeling solutions by replacing the finite-dimensional prior distributions of classical Bayesian analysis with infinite-dimensional stochastic processes.
The Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science. The Center was created in 2015 with the goal of formalizing and consolidating efforts in statistics at MIT. The Center’s academic mission is to host and develop new academic programs, from a minor to a PhD in statistics and data science.
Statistics and Data Science Center affiliate and EECS Professor Aleksander Madry strives to build machine-learning models that are more reliable,...
The IDSS affiliate and Nobel Laureate is known for innovation in development economics and an experimental approach to alleviating global poverty.
The Statistics and Data Science Center, along with the Institute for Data, Systems, and Society (IDSS), is officially a part of the new Schwarzma...