B.Sc. program in Artificial Intelligence
Area of Studies
mathematics, informatics
Degree
Bachelor
Degree (in English)
Bachelor of Science (Engineer)
Language(s)
- English
Course Duration
3.5 years (7 semesters)
ECTS points
210
Department
Faculty of Computing and Telecommunication
Tuition and Other Fees
Admission fee: 85 PLN
Tuition fee:
5700 PLN / first semester
4700 PLN /per each following semester
Application Deadline(s)
15.07.
Course Description
Course Profile
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 B.Sc. Programme in Artificial Intelligence, which is pioneering in Poland. The sevensemester programme 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 computer sciences and mathematics needed for practical AI applications as well as an up-to-date knowledge of the latest AI trends. 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. From the first semesters, the students get to know the elementary approaches of artificial intelligence, machine learning, and data analysis. The final two years are fully devoted to the hot areas of AI research. These include: big data and natural language processing, deep and reinforcement learning, computer vision, decision analysis and operational research, evolutionary computation, collaborative systems, Internet of things, and robotics. Apart from the knowledge of fundamental methods, the students gain interdisciplinary skills needed for building intelligent systems that can effectively collaborate with people as well as for applying these tools in different business sectors and domains oriented to consumers or society. The graduates are ready to work as computer programmers, data analysts, or machine learning engineers, and have sufficient knowledge to launch their own AI startups.
Education Requirements
https://put.poznan.pl/en/node/6820
Contact
International Relations Office ul. Piotrowo 5, 60-965 Poznan, Poland
Phone: +48 61 665 3544
E-mail study@put.poznan.pl
Poznan University of Technology
pl. M. Skłodowskiej-Curie 5 60-965 Poznań, Poland
phone: +48 61 665 35 44
e-mail: study@put.poznan.pl
www.put.poznan.pl fb: putpoland
phone: +48 61 665 35 44
email: study@put.poznan.pl
www: http://www.put.poznan.pl
Study programmes
- B.Sc. program in Architecture
- B.Sc. program in Artificial Intelligence
- B.Sc. program in Automatic Control and Robotics
- B.Sc. program in Chemical Technology
- B.Sc. program in Electronics and Telecommunications
- B.Sc. program in Engineering Management
- B.Sc. program in Sustainable Building Engineering
- M.Sc. in Product Lifecycle Engineering Field of study: Logistics
- M.Sc. in Automatic Control and Robotics, specialization - Smart Aerospace and Autonomous Systems
- M.Sc. in Chemical Technology
- M.Sc. in Civil Engineering, specialization: Construction Engineering and Management
- M.Sc. in Civil Engineering, Specialization: Structural Engineering
- M.Sc. in Computing, Specialization: Cyber Security
- M.Sc. in Computing, Specialization: Software Engineering
- M.Sc. in Electronics and Telecommunications, specialization: Information and Communication Technologies
- M.Sc. in Engineering Management, specialization: Managing Enterprise of the Future
- M.Sc. in Logistics; specialization Logistic Systems
- M.Sc. in Mechanical and Automotive Engineering, specialization: Product Engineering
- M.Sc. in Mechatronics
- M.Sc. in Sustainable Transport
- M.Sc. program in Architecture
- PhD in Chemical Technology
- PhD in Civil Engineering and the Environment
- PhD in Management and Production Systems
- PhD in Mechanical and Operating Engineering
- PhD in Modern Electrical and Information Engineering
- PhD in Technical Physics
- PhD in Telecommunication Technologies
- PhD in Theoretical and Practical Problems of Automatic Control and Robotics
- PhD in Theoretical and Practical Problems of Computing