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Uppsala University
Master's Programme in Data Science - Image Analysis and Machine Learning
The Master's Programme in Data Science has three specialisations, one of which is Image Analysis and Machine Learning. This specialisation provides in-depth knowledge in pattern recognition, visual data processing, and artificial intelligence. You will develop the expertise needed to tackle complex challenges across…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
The Master's Programme in Data Science has three specialisations, one of which is Image Analysis and Machine Learning. This specialisation provides in-depth knowledge in pattern recognition, visual data processing, and artificial intelligence. You will develop the expertise needed to tackle complex challenges across a wide range of fields, including medicine, life sciences, the humanities, robotics, astronomy, and materials science. Uppsala University offers a rich and vital research environment in data science, image analysis, machine learning and artificial intelligence, with many researchers from different institutions. The language of instruction is English.
Admission scores
Entry requirements
*Academic requirements* A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is: - 80 credits in mathematics and computer science; - 30 credits in mathematics including linear algebra, single variable calculus and statistics and probability; - 30 credits in computer science including 10 credits in basic programming. *Language requirements* Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries.
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.tda2m.m1152.20262
- Last checked
- 2026-09-23T10:39:53.117105+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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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.tda2m.m1152.20262
- Offering identity in the source
- e.uoh.uu.tda2m.m1152.20262
- Education-form source code
- HS
- Education code in the source
- TDA2M
- Change time according to the source
- 2025-10-14T11:14:36
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.