| Code | JS-SI |
|---|---|
| Organizational unit | Faculty of Computer Science |
| Field of studies | Sztuczna inteligencja |
| Form of studies | Full-time |
| Level of education | first cycle |
| Educational profile | academic |
| Language(s) of instruction | Polish |
| Minimum number of students | 20 |
| Admission limit | 36 |
| Duration | 3.5 years, 7 semesters |
| Office opening hours | |
| Required document | |
| Ask a question | |
APTITUDES
If you are interested in modern technologies, want to understand how systems such as ChatGPT, image recognition, or data analysis work, and at the same time enjoy mathematics, logical thinking, and programming – Artificial Intelligence is the right field of study for you.
These studies are designed for people who do not want to merely use ready-made tools, but who aspire to create their own intelligent systems and have a real impact on the development of future technologies.
This program is ideal for candidates who are curious about the world, ready to continuously acquire knowledge, and eager to solve complex engineering problems. It is especially suitable for individuals interested in data analysis, machine learning, and process automation, as well as for those who want to become creators of new technologies and work on projects at the frontier of what is currently possible.
WHICH SUBJECTS ARE WORTH TAKING IN THE MATRICULATION EXAM?
A modern foreign language and 2 subjects chosen from the following: mathematics, computer science, physics (with astronomy), Polish language.
CAREER
Artificial Intelligence is one of the fastest-growing fields in the world, and AI specialists are among the most sought-after professionals on the job market. Graduates of this program gain competencies combining programming, data analysis, and mathematical modeling, which provide broad career opportunities.
After graduation, you may work as:
- AI Engineer – builds applications using artificial intelligence and large language models (LLMs), integrating them with business systems,
- Machine Learning Engineer – designs, trains, and deploys machine learning models in products and services,
- AI Researcher – works on new AI methods and algorithms in research and development centers and universities,
- MLOps Engineer – deploys and maintains AI models in production environments, ensuring their reliability and performance,
- Data Scientist / Data Analyst – extracts value from data and supports companies in making informed decisions,
- NLP / Computer Vision Engineer – specializes in natural language processing or image recognition,
- Software Engineer – develops applications and systems with AI components,
- Prompt Engineer / LLM Specialist – designs effective ways of using large language models in products.
You can find employment in technology companies, startups, research and development centers, banking, healthcare, e-commerce, automotive industries, manufacturing, and the new technologies sector – in practice, almost everywhere today.
CURRICULUM
The core curriculum includes, among others:
- mathematical analysis,
- linear algebra,
- probability theory and statistics,
- fundamentals of programming.
Specialized subjects include, among others:
- algorithms and data structures,
- machine learning and deep learning,
- data analysis and processing,
- natural language processing (NLP),
- computer vision,
- large language models (LLMs) and generative systems,
- databases,
- operating systems and computer architecture,
- software engineering,
- MLOps and deployment of AI systems,
- ethics and responsibility in artificial intelligence.
The study program combines solid theoretical foundations with a practical approach to designing and implementing AI systems – from data analysis to ready-to-use solutions operating in real-world applications.
LOCATION OF MOST CLASSES
Opole, ul. Prószkowska 76, Second Campus of the Opole University of Technology.
FIRST-CYCLE (BACHELOR’S) STUDIES
The program lasts 7 semesters in full-time mode. Graduates are awarded the professional title of Engineer (BEng).
SPECIALIZATIONS
There are no specializations offered in the first-cycle studies.

