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Published education catalogue

Data Privacy

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: DIT117

The published source does not provide a description.

Entry requirements

90 hp points in courses in Computer Science and/or Mathematics or equivalent. Among those courses, the student should have: - 5\.0 hp in calculus - 7\.5 hp on Statistical Methods for Data Science (DIT863) or equivalent.  - 7\.5 hp on a course in functional programming (DIT143) or programming with Python (MVG301), or equivalent

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

  • Data Privacy

    University of Gothenburg

    Start date:

    End date:

    Pace of study: 50 %

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2025-02-18T12:40:27