Poznan University of Technology

Artificial Intelligence (AI) is oriented towards development and application
of computational technologies that are inspired by the way people learn,
reason, and make decisions. Since the field’s inception sixty years ago, it has
experienced different trends with an unpredictable rate of progress. Nowadays,
AI research and technologies pervade our lives, having greatly influenced
domains such as transportation, entertainment, home and service robotics,
education, security, and healthcare. This is mainly due to the deluge of data
and a remarkable success of the data-driven paradigm, which has displaced the
traditional paradigms of AI.
Poznan University of Technology offers a M.Sc. Programme in Artificial
Intelligence, taught entirely in English. The three-semester programme starts at the
end of February and is a natural continuation of a B.Sc. Programme in Artificial
Intelligence offered by the university, and thus is meant for the B.Sc. graduates
in the AI-related fields. It has been launched as a response to a growing demand
for highly specialized AI experts on both Polish and international markets. The
curriculum aims at providing graduates with an in-depth knowledge of the latest
advances in the field of AI, so that they are prepared to create intelligent systems
and solve complex problems in AI as part of innovative business activities, work
in the area of research and development (R&D) or perform scientific research
and undertake doctoral studies.
The classes are taught in English and delivered by the world-recognized
scientists whose research in AI has been appreciated with the prestigious
awards by international societies, journals, and conferences. Graduates will
acquire detailed knowledge in the fields of AI, machine learning and data analysis:
machine perception, program synthesis, multidimensional statistics, intelligent
optimization, machine learning theory, process mining, multicriteria optimization,
natural language processing, learning process automation, machine learning
tools, dimensionality reduction, knowledge extraction, machine learning graphs,
information theory methods, programming constraints, quantum machine
learning, as well as numerous applications of artificial intelligence methods,
e.g. in e-commerce, games, mobile applications, biomedical informatics or
cryptography.