Master of Science in Data Science

The official policies for this program may be found in the CS Department Bulletin. If there is any conflict between this webpage and the official policies, then the official policies have precedence. 

Data Science refers to the principles and practices in data analysis that support data-centric real-world problem solving. The Master of Science in Data Science (MSDS), administered jointly by the departments of Computer Science and Electrical and Computer Engineering, prepares students for future careers and/or further study in Data Science. The MSDS is a one year program that may be completed in either 9 or 12 months of study.

The MSDS is built upon a disciplinary core of statistics and machine learning, with depth provided by courses in each of the following categories: data infrastructure and systems, data analysis and interfaces, computational and theoretical aspects of data science, and practice of data science.

Prerequisites for the MSDS include a Bachelor of Science degree in a science, technology, engineering, or mathematics (STEM) field. Applicants with bachelor’s degrees in non-STEM fields may begin study with a post-bacc in data science.