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Jönköping University
AI in Retail
AI in Retail is an executive-level online course designed for professionals who want to understand how artificial intelligence and analytics can create value across the retail value chain. The course explores how data-driven models are used in key areas such as personalized customer engagement, inventory and supply…
- Higher education
- Information unavailable
- 1 March 2027
- No physical attendance required
- Information unavailable
- 33 %
Overview
AI in Retail is an executive-level online course designed for professionals who want to understand how artificial intelligence and analytics can create value across the retail value chain. The course explores how data-driven models are used in key areas such as personalized customer engagement, inventory and supply chain management, and operational efficiency and decision-making. Through short lectures, hands-on labs, and applied discussions, participants gain both strategic insight and practical experience with AI-powered tools. A unique feature of the course is its strong focus on real-world application. Participants reflect on their own organizational context and develop actionable ideas for implementing AI in practice. Ethical, legal, and organizational challenges are also critically examined. The course is fully online and designed to fit working professionals, combining flexibility with meaningful interaction.
Admission scores
Entry requirements
Passed courses of at least 40 credits in a main field of study within Engineering and Technology, Natural Science or Social Sciences, and at least 1 year of work experience (or equivalent). English proficiency is required (level 6 or equivalent). Applicants that have at least 4 years of work experience in industry are exempt from the requirement of at least 40 credits within Engineering and Technology, Natural Science or Social Sciences field.
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
- 2027-03-01
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hj.t2airw.31003.20271
- Last checked
- 2026-09-23T10:37:43.911976+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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- Programme or course starts
- Programme or course ends
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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.hj.t2airw.31003.20271
- Offering identity in the source
- e.uoh.hj.t2airw.31003.20271
- Education-form source code
- HS
- Education code in the source
- T2AIRW
- Change time according to the source
- 2026-08-12T12:27:46
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.