Artificial Intelligence and Robotics (studies in English)

Course description

A graduate of the study programme in Artificial Intelligence and Robotics obtains the professional title of “Magister Inżynier” in Artificial Intelligence and Robotics. The graduate possesses an advanced and comprehensive set of knowledge, skills, and competencies enabling them to design, develop, integrate, and evaluate intelligent systems and robotic solutions, as well as to conduct independent research in the field. The programme has a general academic profile, providing a solid theoretical and methodological foundation necessary for undertaking further scientific research and doctoral studies.

1)      Advanced Theoretical Knowledge

The graduate demonstrates in-depth knowledge of mathematics, statistics, algorithms, advanced machine learning, computer vision, natural language processing, neural networks (including deep and reinforcement learning), and other specialised areas relevant to artificial intelligence and robotics. He understands the theoretical foundations of intelligent agents, autonomous decision-making, and robotic control systems.

2)      Programming and Systems Development

The graduate is proficient in programming languages commonly used in AI and robotics. He can design, implement, optimise, and integrate complex AI and robotic systems, leveraging state-of-the-art libraries, frameworks, and simulation environments.

3)      Machine Learning and Data Science

The graduate has an advanced understanding of supervised, unsupervised, and reinforcement learning techniques, and can select and apply appropriate models for diverse and complex tasks. He is skilled in data acquisition, cleaning, analysis, visualisation, and the deployment of scalable AI solutions.

4)      Natural Language Processing and Multimodal Systems

The graduate can analyse and process natural language and other multimodal data, integrating speech, text, and vision processing into intelligent systems such as conversational agents, translation systems, and semantic understanding modules.

5)      Neural Architectures and Deep Learning

The graduate can design, train, and evaluate advanced neural architectures, including convolutional, recurrent, transformer-based, graph neural networks, and hybrid models for robotics applications.

6)      Robotics and Autonomous Systems

The graduate possesses advanced knowledge of robotic kinematics, dynamics, perception, control, and planning. He can design algorithms for autonomous navigation, manipulation, and human–robot interaction.

7)      Problem-Solving and Innovation

The graduate can identify, formulate, and solve open-ended AI and robotics challenges, developing innovative approaches grounded in scientific methodology and engineering practice.

8)      Ethics, Law, and Societal Impact

The graduate demonstrates a critical awareness of the ethical, legal, and societal implications of AI and robotics, including privacy, fairness, transparency, safety, and sustainability, and can integrate these considerations into system design and deployment.

9)      Communication and Leadership

The graduate can effectively communicate complex technical concepts to both specialist and non-specialist audiences, lead interdisciplinary teams, and collaborate in international research and development projects.

10)   Research and Development Practice

The graduate is capable of conducting independent research, critically analysing scientific literature, designing experiments, validating results, and publishing findings in peer-reviewed venues.

11)   Lifelong Learning and Adaptability

The graduate is prepared for continuous professional development, staying up to date with emerging AI and robotics technologies, methodologies, and interdisciplinary applications.

Career opportunities

Graduates are highly sought after in sectors such as advanced manufacturing, autonomous systems, healthcare technology, defence, logistics, finance, and entertainment. They may work as AI/Robotics Engineers, Machine Learning Specialists, Data Scientists, Research Scientists, System Architects, or Founders of technology start-ups.

Thanks to the general academic profile, graduates are also fully prepared to pursue doctoral studies (PhD) and engage in advanced scientific research, both in Poland and internationally.