Sponsored by Engineering for Professionals.

Required Courses

Students must take the three required courses:

625.603 Statistical Methods in Data Analysis
625.661 Statistical Models and Regression
685.621 Algorithms for Data Science

Electives

In addition, students must complete two (synchronous or asynchronous online) graduate-level electives from the following courses:

685.662: Data Patterns and Representations OR 663.707 Innovative Data Strategies for Global Leaders (in person)
685.652: Data Engineering Principles and Practice
625.664: Computational Statistics*

*One non-ACM (non-625.xxx) course is allowed subject to advisor approval.  Any elective course outside of ACM must be a Data Science course.

Students may be required to complete prerequisites before completing required coursework in the Data Science Track.