CMSC320

Introduction to Data Science

Prerequisite: Minimum grade of C- in CMSC216 and CMSC250. Restriction: Permission of CMNS-Computer Science department. Credit only granted for: STAT426 or CMSC320. An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.

Fall 2025

82 reviews
Average rating: 3.94

268 reviews
Average rating: 2.85

Summer 2025

82 reviews
Average rating: 3.94

Spring 2025

82 reviews
Average rating: 3.94

268 reviews
Average rating: 2.85

Past Semesters

3 reviews
Average rating: 3.00

17 reviews
Average rating: 3.71

31 reviews
Average rating: 2.90

4 reviews
Average rating: 3.00

150 reviews
Average rating: 3.56

2 reviews
Average rating: 2.50

63 reviews
Average rating: 4.62

92 reviews
Average rating: 4.47

92 reviews
Average rating: 4.47

268 reviews
Average rating: 2.85

268 reviews
Average rating: 2.85

150 reviews
Average rating: 3.56

150 reviews
Average rating: 3.56

17 reviews
Average rating: 3.71

268 reviews
Average rating: 2.85

82 reviews
Average rating: 3.94

109 reviews
Average rating: 4.62

82 reviews
Average rating: 3.94

150 reviews
Average rating: 3.56

82 reviews
Average rating: 3.94

268 reviews
Average rating: 2.85

* "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.