Data Security and Privacy
Course, Master's level, 1DT114
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 22 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including a second course in programming. Participation in a course in machine learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 October 2026
- Application code
- UU-61246
Admitted or on the waiting list?
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 22 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including a second course in programming. Participation in a course in machine learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
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.
Reading list
No reading list found.