This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
University of Gothenburg
AI and Software Engineering Seminar
The published source does not provide a description.
- Higher education
- Information unavailable
- 22 March 2027
- GÖTEBORG
- Information unavailable
- 50 %
Overview
The published source does not provide a description.
Admission scores
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.
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
- 2027-03-22
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit979.86089.20271
- Last checked
- 2026-09-23T10:36:42.164498+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.gu.dit979.86089.20271
- Offering identity in the source
- e.uoh.gu.dit979.86089.20271
- Education-form source code
- HS
- Education code in the source
- DIT979
- Change time according to the source
- 2026-09-14T12:07:22
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.