With a flexible set of core requirements in statistics, mathematics and computer science, the master of science in data science leads to a wide range of potential application areas. By providing a solid background in the methods behind data science, the program enables our graduates to work well with data and be better prepared for the latest methods of focusing on large or dynamic data sets in their chosen fields.

The breadth of the interdisciplinary training prepares students for an extensive variety of positions in data science, such as data analyst, data engineer or data scientist. Data analysts use mathematical, statistical and modeling techniques to solve problems; data engineers design, build and maintain an organization’s data and analytical infrastructure; and data scientists create sophisticated analytical models to build datasets and derive new insights from data.