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ARTIFICIAL INTELLIGENCE is a branch of computer science focused on the development of technologies that are inspired by the way people use their nervous system and bodies to feel, learn, infer and make decisions. In terms of artificial intelligence, all activities aimed at creating models of intelligent behaviour and making machines intelligent are interpreted.
During the second-cycle studies in the field of ARTIFICIAL INTELLIGENCE conducted in English, you will expand your theoretical knowledge and practical skills on key issues in the field of artificial intelligence, as well as you will become acquainted with the latest scientific achievements and research trends.
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Detailed requirements for a candidate for the second-cycle studies regarding the obtained learning outcomes after the first-cycle studies and the professional title are published on the website.
Szczegółowe wymagania wobec kandydata na studia drugiego stopnia dotyczące uzyskanych efektów uczenia się po pierwszym stopniu studiów oraz tytułu zawodowego opublikowane są na stronie (LINK).
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Lack of mandatory vocational internship.
It is possible to do internships and traineeships abroad under the Erasmus+, EUNICE and IAESTE programmes.
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- national and international IT companies/corporations
- national and international research and development centres
- the possibility of continuing education at the Doctoral School
Centrum Praktyk i Karier oferuje studentom Politechniki Poznańskiej wsparcie w zakresie doradztwa zawodowego oraz pomocy w znalezieniu pracy, praktyki lub stażu. Zobacz przykładowe oferty pracy.
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- modern research and teaching infrastructure
- experienced and highly-reputed staff
- students' and graduates' successes
- high earnings and easy access to jobs after graduation
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