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Published education catalogue

AI and Software Engineering Seminar

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

Education facts

Code: DIT979

The published source does not provide a description.

Entry requirements

To be eligible for the course, the student should have a bachelor´s degree in Software Engineering, Computer Science, Computer Engineering, Information Technology, Information Systems, or equivalent. In addition, the student should have completed courses in: - A basic course in machine learning (e.g. Introduction to data science and AI, Software Engineering for AI Systems, Software Engineering for Data-Intensive AI Applications, or equivalent) - A general Software Engineering course (e.g. Software Engineering: Theory and Practice or equivalent) or 6 credits in one or more of the following areas of software engineering: software processes and agile development, software architecture, software quality assurance or testing, requirements engineering. Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

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.

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: 2026-09-14T12:07:22