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STRONA GŁÓWNA

Brochure about TUL

Brochire about the TUL

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International Faculty of Engineering - IFE

Interdisciplinary Doctoral School

Artificial Intelligence and Machine Learning

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Home > Overview of study programmes > Artificial Intelligence and Machine Learning
Organizational unit running the field of study: 
Faculty of Electrical, Electronic, Computer and Control Engineering
Cycle of study: 
Second-cycle
Mode of study: 
Full-time (degree programme)
Language of instruction: 
Polish
Degree awarded: 
Master of Science
Duration of study: 

2 years

Czy wiesz że?

In 2014, the first algorithm (chatbot called Eugene Goostman) supposedly passed the Turing Test, demonstrating that it is impossible to distinguish whether the other party is a human being or an AI algorithm in the context of a freely conducted conversation.

Description of the field of study: 

Artificial Intelligence, presented in movies and literature so far, is unavoidably entering our everyday life. What problems will it help us solve? How will it change our reality and what will its limits be? Will it become a tool to fulfill our dreams of a safe and wealthy world free from suffering and diseases? That will depend on its creators – the now few specialists who are facing fascinating challenges that require imagination supported by solid competence. And since it seems that Artificial Intelligence will be the main factor shaping the future world, becoming one of its architects is a present-day challenge. Taking it up will give you a chance to find an exciting, useful and potentially well-paid job.

The field of study that we propose will let you gain competences and knowledge sufficient for the independent creation of "intelligent" algorithms that power devices, machines and systems. You will become familiar with the basics, tools and challenges of the field as well as learn how to create systems that can solve complex problems, assisting or replacing humans in carrying out responsible tasks based on fundamental higher-level skills: understanding the content of what we see and hear, predicting and planning, decision making and executing complex actions. You will get to know how to teach algorithms and make them learn on their own, solve tasks in the objectively best possible way, as well as handle the unpredictability and uniqueness typical for the real world.

The educational model that we propose closely combines the basic theoretical foundations of the field with the practical use of transferred knowledge through laboratory and project classes. The study programme gives you an opportunity to stay at a foreign university for one semester.

Join us! We guarantee solid and up-to-date knowledge on our part, and expect you to be involved and creative. We believe this combination will give you attributes that will let you find an interesting and truly satisfying job.

What you gain: 
  • Knowledge and competences in the field of creating intelligent algorithms, systems and machines.
  • The ability to develop or improve, individually or in a team, solutions with an incredibly high commercial potential (create autonomous systems and vehicles; support or automate medical diagnostics; develop image/speech recognition, analysis and generation systems; produce intelligent devices of the Internet of Things; design forecasting and planning systems).
  • An basis for conducting further scientific work at company research centers or academic institutions.
Cooperation with companies: 
  • ABB,
  • Digica,
  • Ericsson,
  • ZF,
  • Commerzbank,
  • TomTom,
  • Fujitsu,
  • Accenture,
  • Harman.
Job perspectives: 

All important companies in the IT sector, both global and local ones, are interested in employing people with competences in the field of Artificial Intelligence and Machine Learning.

Some of the companies in our region looking for specialists in the field are: ABB, Digica, Ericsson, Fujitsu, Accenture, Transition Technologies, ZF, Innovatica, Commerzbank, EPAM-PolSource, StxNext and Harman, while the leading employers in the global market are the technological giants: Google, Facebook and DeepMind.

Additionally, there is now also very high demand for graduates in the proposed field among university centers in Poland and abroad.

Date of enrolment: 
29.01.- 26.02.2024, Ist recruitment for foreigners: 6.12.2023 - 4.01.2024
Admission requirements: 

Zasady rekrutacji dla kandydatów zagranicznych *: 

* Kandydat zagraniczny, czyli taki, który m.in.:

  • nie ma obywatelstwa polskiego ani Karty Polaka,
  • nie ma stałego pobytu w Polsce ani w UE,
  • nie jest żoną/mężem polskiego obywatela,
  • nie zna języka polskiego na poziomie C1.

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