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Uppsala University
Artificial Intelligence for Industrial Analytics
This course will provide you with a broad and deep understanding of modern AI, with a focus on Intelligent Agents and Artificial Neural Networks (ANNs) for Industrial Analytics. It starts with widely applicable numerical methods used to rapidly get close to the best solution for a given optimization task. This found…
- Higher education
- Information unavailable
- 2 November 2026
- Uppsala
- Information unavailable
- 33 %
Overview
This course will provide you with a broad and deep understanding of modern AI, with a focus on Intelligent Agents and Artificial Neural Networks (ANNs) for Industrial Analytics. It starts with widely applicable numerical methods used to rapidly get close to the best solution for a given optimization task. This foundation is then used to create different neural network-based Intelligent Agents suitable for Industrial Analytics. The main examples considered are often encountered in industrial applications such as signal + image analysis and challenging optimisation problems.
Admission scores
Entry requirements
120 credits in science/engineering, including 20 credits in mathematics, which should include single variable calculus, linear algebra and probability theory/statistics. Participation in Computer Programming I or Programming. 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
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.uu.1ts321.14607.20262
- 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
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Previous upper-secondary schools and programmes
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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.1ts321.14607.20262
- Offering identity in the source
- e.uoh.uu.1ts321.14607.20262
- Education-form source code
- HS
- Education code in the source
- 1TS321
- Change time according to the source
- 2026-03-09T12:14:16
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.