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.