Program Overview
The Master's degree in Applied Statistics and Data Science covers a broad range of applied statistical methods and computational tools such as data science processes, machine learning, data visualization, algorithmic and computational thinking, ethics, and algorithmic accountability. Program graduates acquire competency in the areas of computational and statistical thinking, mathematical foundations, algorithms and software foundation, data curation, and knowledge transference-communication and responsibility.
