Artificial intelligence increasingly shapes the world around us. AI specialists will be responsible for many positive changes in industry, science, and medicine. How to become one of them? By choosing to study in a new field at our Faculty.

During the recruitment process, which continues until 11 July, candidates for the first cycle full-time studies will find a new field of study in our offer – Artificial Intelligence. These are seven-semester studies, and 64 places have been prepared for those interested.

In our Faculty, already in 2021 we launched two AI-related programmes – Trusted Artificial Intelligence and Artificial Intelligence. They enjoy great interest from candidates, but so far recruitment has only been conducted for master's degree studies.

Great possibility, great responsibility

– Never before has humanity had such a powerful tool in its hands as artificial intelligence. We are currently witnessing a tremendous acceleration in the development of this technology, which essentially automates every aspect of our lives – says Prof. Tomasz Kajdanowicz from the Department of Artificial Intelligence, chairman of the programme committee for the field of study. Individuals who will be developing AI-based solutions in the future need to be adequately prepared, which is why we decided to open this course in engineering studies – he explains.

These studies are for individuals interested in autonomous and intelligent information processing technologies, which result in new solutions used in various industrial fields. Importantly, the field will be an interdisciplinary one, combining mathematical and analytical skills with, for instance, social media analysis, brain-computer interfaces, or social responsibility, to better understand the principles on which artificial intelligence operates and should be created.

– We want to educate a new generation of engineers who will develop technologies that are hard for us to even imagine today. That's precisely why preparing an appropriate study programme was a huge challenge, because no one truly knows how advanced artificial intelligence will be in a few years and what new professions will emerge as a result. It is crucial that our graduates are prepared for these changes – emphasises Prof. Kajdanowicz.

The authors of the study programme based it on three main pillars – challenge based learning, a teaching model that focuses on faster implementation of innovations; design thinking, an approach to creating solutions that meet real needs of people and markets; and scientific-implementation projects for individuals and groups during which students work closely with scientists.

This means that there will be no shortage of practical tasks during the learning process. Students will need to find solutions to specific problems using currently available market tools or by developing new ones.

Importantly, representatives from companies involved in the development and application of artificial intelligence, who are active in the Advisory Board at the Faculty of Information and Communication Technology, were also engaged in the preparation of the programme.

Students will be offered both core courses – including, for example, mathematical analysis for computer scientists, programming, or data management systems, and over 20 elective courses (including biometrics, image processing, secure AI, rapid AI solution development, processing biometric data from wearable devices, and techniques and challenges of data collection). Future engineers will be thus able to tailor their study plans according to their interests.

– Our graduates will be able to quickly adapt to changes occurring in the field of new technologies. Given that AI has increasingly wide applications, they will easily find employment in many different industries, for example, as designers of AI-based solutions – notes Prof. Kajdanowicz. “We do not know what the future holds, but there will certainly remain major challenges, such as improving energy efficiency or combating various types of lifestyle diseases. Our AI specialists can help to solve them – he adds.

Scientific track

Students can also participate in projects conducted by scientists from the Department of Artificial Intelligence at our Faculty, which are carried out using, among others, the Department's computing machines and the Wrocław Centre for Networking and Supercomputing, including the LEM supercomputer, one of the fastest machines in the world. Involving young people in research is intended to encourage and prepare them to pursue further studies at the master's and doctoral levels.

– The development of artificial intelligence and automation means that the world of science may open up to them much faster than anyone could have anticipated. As a result, in a few years research may be something different from what we know today. And this new form requires a new type of scientist. It is therefore worth developing the interests and passions of young people as quickly as possible – explains Prof. Kajdanowicz. 

The field of Artificial Intelligence has been included in the project "EDU PWR – education at Wrocław University of Science and Technology in response to the needs of the modern economy and labour market", which is implemented by the National Centre for Research and Development under the European Funds for Social Development (FERS) programme.

This means that the top students starting their studies in the academic year 2025/2026 are offered additional development opportunities, including trips to international scientific conferences, participation in international summer schools, off-site AI Summit training, technology presentations at the AI Forum, study visits to leading AI companies, presentations of research directions and potential development paths in AI Roadmap workshops, as well as training on technological innovations as part of AI Day.