This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Uppsala University
Degree Project E in Image Analysis and Machine Learning
For information about the course, please contact the department.
- Higher education
- Information unavailable
- 31 August 2026
- Uppsala
- Information unavailable
- 100 %
Overview
For information about the course, please contact the department.
Admission scores
Entry requirements
A Bachelor's degree and, in addition participation in at least 45 credits in image analysis and machine learning at Master's level, including Project in Software Development in Image Analysis and Machine Learning (15 credits) and additional 5 credits in one of the possible specialisations in image analysis and machine learning. The following courses shall be completed: Introduction to Image Analysis or Computer-Assisted Image Analysis I, Statistical Machine Learning, Deep learning, Advanced deep learning for image processing, Data, Ethics and Law. The course Deep learning for image analysis, completed, can replace Deep learning and Advanced deep learning for image processing. 5 credits within one of the possible specializations in image analysis and machine learning completed. The course can only be taken following courses required at Master's level for the degree project. Admission requires a project plan accepted by the department. Proficiency in English equivalent to the Swedish upper secondary course English 6.
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.uu.1md038.11618.20262
- Last checked
- 2026-09-23T10:39:41.205927+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.uu.1md038.11618.20262
- Offering identity in the source
- e.uoh.uu.1md038.11618.20262
- Education-form source code
- HS
- Education code in the source
- 1MD038
- Change time according to the source
- 2026-03-09T12:14:19
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.