COURSE

DSAA3055

Data Security and Privacy

Information Hub / Data Science and Analytics · 3 Credits

This course examines how data is protected and privacy is preserved across communication, storage, analysis, and governance in modern systems. Students learn the cryptographic and systems foundations of data protection, explore privacy-preserving technologies for querying and computing on sensitive data, and examine how legal and governance frameworks shape data practices. Emphasizing both widely deployed mechanisms and emerging approaches, the course prepares students to evaluate threat models, analyze security and privacy guarantees, and reason about design tradeoffs in real-world systems.