DAMG7245 — Big-Data Systems and Intelligence Analytics: Reviews & Ratings

DAMG7245 (Big-Data Systems and Intelligence Analytics) course reviews and ratings at Northeastern (NEU). Average rating 5.0/5. Compare professors with RateMyProfessor reviews.

Offers students an opportunity to learn a hands-on approach to understanding how large-scale data sets are processed and how data science algorithms are adopted in the industry through case studies and labs. This project-based course builds on INFO 7390 and focuses on enabling students with tools and frameworks primarily to build end-to-end applications. The course is divided into three parts: building the data pipeline for data science, implementing data science algorithms, and scaling and deploying data science algorithms.

Average rating
5.0/5
Difficulty
4.3/5
Ratings
3
Last taught
Fall 2026
Credits
4 Hours
Prerequisites
DAMG 6105 with a minimum grade of B or INFO 6105 with a minimum grade of B

Professors

Data updated October 2026.

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