Data Security and Privacy

5 credits

Course, Master's level, 1DT114

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English For exchange students

Spring 2026 Spring 2026, Uppsala, 33%, On-campus, English

Spring 2026 Spring 2026, Uppsala, 33%, On-campus, English For exchange students

About the course

The course introduces security and privacy challenges in the data life cycle. Concepts of threat models, secure computation, privacy-preserving data processing, as well as security issues related to machine learning are introduced.

On completion of the course, you should be able to:

  • analyze security and privacy considerations in a typical data life cycle
  • explain and compare algorithmic, technical, and physical measures for secure and privacy-preserving data science
  • discuss the trade-offs and limits of secure and privacy-preserving data science
  • reflect on the legal and ethical issues of a data science scenario.

No reading list found.

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