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Jönköping University
AI Engineering (master)
Artificial Intelligence (AI) stands as the driving force behind the most transformative innovations of our time. AI is driving groundbreaking change in a world where technology is evolving at an unprecedented pace. As AI evolves, the demand for skilled associates in the field is increasing. The Master of Science in…
- Higher education
- Information unavailable
- 31 August 2026
- Jönköping
- Information unavailable
- 100 %
Overview
Artificial Intelligence (AI) stands as the driving force behind the most transformative innovations of our time. AI is driving groundbreaking change in a world where technology is evolving at an unprecedented pace. As AI evolves, the demand for skilled associates in the field is increasing. The Master of Science in AI Engineering provides a comprehensive education through a combination of machine learning, deep learning, natural language processing, and other AI technologies. Come join us on a journey to master the intricacies of AI. A deep dive into ethical considerations in AI development is included in the program, along with hands-on experience and cutting-edge research opportunities. Our program equips you with the knowledge and skills you need to excel in this transformative field, whether you are interested in developing algorithms that drive innovation or in developing AI solutions for societal challenges. Be a part of a new narrative in which AI is reshaping the world, influencing industries, and shaping the future. Take advantage of a master's program that prepares you for a career in the exciting and limitless field of Artificial Intelligence.
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Entry requirements
The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in computer engineering, computer science or electrical engineering (with relevant courses in computer engineering), or equivalent. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. Proof of English proficiency is required.
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.hj.taai1.ms192.20262
- 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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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.taai1.ms192.20262
- Offering identity in the source
- e.uoh.hj.taai1.ms192.20262
- Education-form source code
- HS
- Education code in the source
- TAAI1
- Change time according to the source
- 2026-04-23T14:15:51
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.