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Umeå University
Data Privacy
In the information age, information is continuously stored and transmitted. Most of this information is sensitive, and needs to be properly processed and stored to avoid undesirable disclosure. Data-driven models and data aggregates are not free from privacy risks. Data privacy is the field that provides tools to a…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
In the information age, information is continuously stored and transmitted. Most of this information is sensitive, and needs to be properly processed and stored to avoid undesirable disclosure. Data-driven models and data aggregates are not free from privacy risks. Data privacy is the field that provides tools to avoid or control information leakage. This course aims to present privacy models (computational definitions of privacy), techniques, and performance measures for privacy-preserving tools. During the course, the students will acquire knowledge about alternative perspectives of privacy as well as their implementation.
Admission scores
Entry requirements
At least 90 ECTS. At least 30 ECTS Computing Science, including 7.5 ECTS programming and 7.5 ECTS datastructures and algorithms; at least 22.5 ECTS mathematics, including 7.5 ECTS statistics and 7.5 ECTS calculus. The course assumes the students have been introduced to machine learning, for example by a course on artificial intelligence. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.umu.5dv241.57006.20262
- Last checked
- 2026-09-23T10:39:35.037285+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.umu.5dv241.57006.20262
- Offering identity in the source
- e.uoh.umu.5dv241.57006.20262
- Education-form source code
- HS
- Education code in the source
- 5DV241
- Change time according to the source
- 2025-12-11T08:04:30
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.