DATA606

Algorithms for Data Science

Prerequisite: DATA602. Restriction: Must be in the Data Science Post-Baccalaureate Certificate of Professional Studies or Master of Professional Studies in Data Science and Analytics program. Credit only granted for: DATA606 or CMSC644. Formerly: CMSC644. 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.

Spring 2026

10 reviews
Average rating: 2.70

7 reviews
Average rating: 4.29

0 reviews
Average rating: N/A

Spring 2025

10 reviews
Average rating: 2.70

150 reviews
Average rating: 3.56

7 reviews
Average rating: 4.29

Past Semesters

3 reviews
Average rating: 3.00

10 reviews
Average rating: 2.70

10 reviews
Average rating: 2.70

10 reviews
Average rating: 2.70

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.