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Artificial Intelligence

Artificial Intelligence - Recruitment finished
Type:
Engineer
Duration of study:
4 years (8 semesters)
Mode:
full-time
Obtained title:
engineer
Language:
Polish | English
https://vizja.pl/en/specjalizacja/sztuczna-inteligencja/|https://vizja.pl/en|sztuczna-inteligencja
Switch to the Polish version of Artificial Intelligence specialization pageEnglish

Why are these studies worth choosing?

The Computer Science programme with a study path in Artificial Intelligence at VIZJA University is the perfect choice for those who want to be at the heart of the technological revolution that is shaping the future of nearly every area of life – from medicine and industry to entertainment. Artificial Intelligence is not just about algorithms and data – it is a dynamic and fast-growing field that enables the creation of learning systems, decision-support tools, automated processes, and technologies that simulate human thinking.

Through this study path, you will gain knowledge in machine learning, natural language processing, data analysis, and the design of intelligent systems. You will learn how to build modern AI-based solutions that have real-world applications in business, healthcare, finance, and everyday life. This is an exceptionally promising career direction that gives you the opportunity to take part in developing innovative technologies that are transforming the world. If you want to combine your passion for programming with the chance to work on intelligent solutions of the future – the Computer Science programme with a study path in Artificial Intelligence at VIZJA University is the ideal choice for you.

Artificial Intelligence – what sets us apart?

  • We focus on developing practical skills in artificial intelligence, machine learning, and data processing.​
  • We provide a solid theoretical foundation in modelling, programming, and evaluating intelligent systems.​​
  • We teach students to critically analyse the applications of AI technologies in the context of ethical and social challenges.​

Cisco Cisco Networking Academy – support for modern education in the field of computer science

Cisco Networking Academy is Cisco's global educational platform offering courses and laboratories in the field of computer networks and security. Thanks to the cooperation between VIZJA University and Cisco, the IT study programme has been supplemented with practical, modern courses offered as part of selected subjects. This solution not only strengthens the interdisciplinary and modern nature of education, but also contributes to the development of practical key competences in the IT industry.
Cisco

What will you gain from Cisco courses?

  • real professional skills (from the basics of computer networks to elements of cybersecurity and infrastructure management)
  • the ability to work on scenarios similar to real IT tasks
  • preparation for Cisco certification (such as the renowned CCNA certificate)
  • an advantage on the job market (knowledge of Cisco equipment and technology)
  • access to interactive laboratories (the opportunity to practise device configuration and solve real network problems)
  • a variety of development paths in line with industry trends (e.g. in the areas of networking, DevNet and cybersecurity)
  • a portfolio of projects for your CV

What can you do after graduation?

Completing the Computer Science programme with a study path in Artificial Intelligence at VIZJA University opens up numerous career opportunities in some of the most innovative and fast-growing sectors of the global job market. Artificial Intelligence is used across nearly every industry, giving graduates broad possibilities for shaping their career paths in international companies and corporations – for example, as a Machine Learning Engineer, Data Scientist, NLP (Natural Language Processing) Specialist, AI Developer, or AI Researcher.​

You can also launch your own projects or start-ups by developing intelligent applications such as chatbots, recommendation systems, or innovative solutions for industry, healthcare, and business. What’s more, AI is a field of global relevance and demand – offering exciting opportunities to gain international experience and work across borders.​

This programme
is for you if:

You are passionate about modern technologies and want to create intelligent systems of the future for the medical, financial, industrial sectors – and for everyday life.​

You have an analytical mind and enjoy solving complex problems.​

You are looking for a future-oriented career in the fast-growing AI sector, where there is global demand for qualified specialists.

Admission rules and regulations

Note: important information for 2025 candidates

Please read carefully the application procedures in line with the changes introduced by the Polish Ministry of Science and Higher Education in 2025.

Curriculum and study structure​

First degree studies ​
(engineering)

Number of credits
245 ECTS credits
(European Credit Transfer and Accumulation System)
Duration
4 years (8 semesters)
Degree obtained upon graduation
a Professional Engineering degree

A distinctive feature of the Computer Science programme with a study path in Artificial Intelligence at VIZJA University is that students begin exploring key AI topics from the very first semester. As the programme progresses, the focus shifts toward developing strong practical skills. The curriculum is designed in line with current market trends and employer expectations. It is built around three core pillars: artificial intelligence methods, advanced programming, and data analysis. This structure ensures that graduates are thoroughly prepared for professional development in the field of AI.

FIRST YEAR OF STUDY

SEMESTER I
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Health and Safety 0 8/8 8/8
Academic Skills 1 15/8 15/8
Fundamentals of Social Communication 4 30/24 30/24
Fundamentals of Economics 5 30/24 30/24
Mathematics for Computer Scientists 8 75/40 75/40
Graphics and Human-computer Communication 7 60/32 60/32
Prompt Engineering/Prompt Engineering 3 45/24 45/24
SEMESTER II
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Foreign Language I (Elective) 2 30/16 30/16
Discrete Mathematics 5 60/32 60/32
Electronics for Computer Scientists 4 60/32 60/32
Elements of Modern Physics 5 60/32 60/32
Fundamentals of Programming 5 75/40 75/40
Operating Systems 5 60/32 60/32
Introduction to Artificial Intelligence 1 15/8 15/8
Computer Systems Architecture 5 60/32 60/32

SECOND YEAR OF STUDY

SEMESTER III
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Foreign Language II (Elective) 2 30/16 30/16
Programming Languages and Paradigms 8 75/40 75/40
Databases 7 60/32 60/32
Algorithms and Complexity 7 75/40 75/40
Introduction to Cognitive Science 4 30/16 30/16
Generative AI 1 15/8 15/8
Network Technologies 6 60/32 60/32
SEMESTER IV
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Foreign Language III (Elective) 2 30/16 30/16
Sports and Recreation 0 30/0 30/0
Software Engineering 5 45/24 45/24
Basics of Programming in Python 3 30/16 30/16
Intelligent Data Analysis Techniques 3 30/16 30/16
Artificial Intelligence and New Technologies 5 60/32 60/32
Intelligent Recognition Systems 5 60/32 60/32
Internship 7 175/175 175/175

THIRD YEAR OF STUDY

SEMESTER V
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Foreign Language IV (Elective) 2 30/16 30/16
Sports and Recreation 0 30/0 30/0
Organisation and Management Theory 5 30/24 30/24
Web Data Analysis for AI Systems and Chatbots 4 45/24 45/24
Artificial Intelligence and Expert Systems 4 60/32 60/32
Cryptography Basics 3 30/16 30/16
Business Intelligence Tools 5 60/32 60/32
Internship 7 175/175 175/175
SEMESTER VI
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Foreign language V (Elective) 3 30/16 30/16
Functional Programming 5 60/32 60/32
Machine learning 5 60/32 60/32
Heuristics and their applications 5 45/24 45/24
Neural networks and their learning algorithms 2 30/16 30/16
IT Risk Management 3 30/16 30/16
Internship 7 175/175 175/175

FOURTH YEAR OF STUDY

SEMESTER VII
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Intellectual and Industrial Property Law 2 30/16 30/16
Concurrent and Distributed Programming 6 60/32 60/32
Non-Relational Databases 6 60/32 60/32
Large Language Models (LLM) 6 75/40 75/40
Computer Science Project 5 45/24 45/24
Internship 7 175/175 175/175
SEMESTER VIII
Subject name Cummulative amount of ECTS points Lecture method Cummulative amount of hours (FT/PT)
Probablistic Methods 5 60/32 60/32
Online Crime / Child and Youth Safety Online (Elective) 3 30/16 30/16
Team Project 4 45/24 45/24
Social Project 9 45/24 45/24
Internship 7 175/175 175/175

The content of the study program may change as a result of efforts to improve the quality of education and adapt the teaching offer to the current challenges of the labor market. Each change is approved by the University Senate and introduced with the aim of preparing students for their future careers in the best possible way.

Tuition fees

Fixed tuition - flexible payments

By choosing to study at VIZJA University, you can be sure that the tuition fee will not change throughout the duration of your studies. You can pay the tuition fee once for the entire year of study or spread over a semester payment. This allows you to decide how you want to plan your expenses.

Scholarships - easier than you think

scholarship program

While studying at VIZJA University, you can take advantage of a wide range of financial support from the state budget and European funds, as well as benefit from special discounts with VIZJA University discount program

You can submit most scholarship applications quickly and easily through your online account.  

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