DATA 606
Algorithms for Data Science
Provides an in-depth understanding of some of the key data structures and algorithms essential for advanced data science. Topics include random sampling, graph algorithms, network science, data streams, and optimization.
Topics
- random sampling
- graph algorithms
- network science
- data streams
- and optimization
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: DATA602 , MSML602 , or BIOI602 . Restriction: Must be in the Data Science Post-Baccalaureate Certificate or Master of Science in Data Science program. Credit Only Granted for: DATA606 or CMSC644. Formerly: CMSC644.
Sources
- Course catalogue ↗2026-2027