Mathematical Data Science (MS)

In recent years, data science has undergone dramatic growth, driven by the increasing availability of big data and the advancement of machine learning algorithms. The Mathematical Data Science program combines the theoretical background that forms the backbone of machine learning and statistical methodologies with the skillset needed for successful practical implementation. It is intended for individuals who are seeking or currently hold positions that involve statistical methodology and practice and want to understand the key mathematical principles behind them. 

By fostering a thorough and rigorous comprehension of the mathematical foundations underlying contemporary algorithms, graduates of the program will understand the current data science landscape and will be equipped with the intellectual tools necessary to pioneer future advancements and solutions in the field. In addition to a core set of required coursework that provides a solid mathematical foundation, students may orient their course of study toward a particular field of application through appropriate selections from the program electives.

Program Requirements

At least 32 units are required, including: