DATA605

Big Data Systems

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: DATA605 or CMSC642. Formerly: CMSC642. An overview of data management systems for performing data science on large volumes of data, including relational databases, and NoSQL systems. The topics covered include: different types of data management systems, their pros and cons, how and when to use those systems, and best practices for data modeling.

Spring 2026

4 reviews
Average rating: 3.75

0 reviews
Average rating: N/A

Spring 2025

4 reviews
Average rating: 3.75

0 reviews
Average rating: N/A

Past Semesters

4 reviews
Average rating: 3.75

4 reviews
Average rating: 3.75

1 review
Average rating: 4.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.71 between 357 students*

DATA605 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 15.41%
A: 54.06%
A+: 12.89%
B-: 2.52%
B: 5.32%
B+: 6.16%
C: 0.56%
C+: 0.28%
D: 0.56%
F: 0.56%
W: 1.4%
other: 0.28%
* "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.