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Faculty:Engineering and Management
Field of study:Computer science

Artificial Intelligence

Type of study:
Bachelor
Obtained title:
Engineer
Duration:
3.5 years
Language of study:
Polish, English
Form of study:
Full-time (weekdays), Part-time (Saturday–Sunday)

Reasons to study Artificial Intelligence at UTA

High demand for AI specialists

Companies in the technology sector, as well as businesses involved in autonomous vehicles or data management systems, are constantly seeking AI experts. In the future, with the growth of automation and big data analysis, the demand for artificial intelligence engineers will continue to rise.

Development of new technologies and innovations

AI studies not only teach how to use existing tools but also focus on creating new solutions. Working on the development of such technologies allows you to participate in the creation of revolutionary products that change the way we live.

A wide range of career opportunities

AI specialists have the opportunity to work in a wide variety of industries, from healthcare to manufacturing and marketing. In medicine, AI algorithms are used for disease diagnosis, such as analyzing medical images to detect cancer. In the automotive industry, autonomous vehicle technology is driven by advanced artificial intelligence, opening up career paths in this rapidly growing field.

Increased efficiency and work automation

Artificial intelligence enables the automation of many processes, leading to increased efficiency in the workplace. A prime example is the use of AI in banking, where algorithms can detect fraud in real time, much faster and more effectively than traditional methods. This not only reduces the workload for human employees, but also enhances the accuracy and speed of critical tasks, improving overall business operations.

What career paths await you after graduation?

Employment prospects

Artificial Intelligence Engineer

As an AI engineer, you will be responsible for designing and implementing artificial intelligence algorithms that drive modern technologies. You could work on image recognition systems used in medicine, such as programs that diagnose diseases based on X-ray images. Your skills will also allow you to create solutions for autonomous vehicles, enabling them to navigate and make decisions independently. This role requires deep knowledge of machine learning, neural networks, and data analysis to develop innovative applications that push the boundaries of technology and improve industries like healthcare, automotive, and beyond.

Data Scientist

As a data scientist, you will leverage data analysis and AI skills to create predictive models and uncover hidden patterns in large datasets. In the financial industry, for example, you might analyze transaction data to predict credit risk for clients, helping banks and financial institutions make informed decisions. You could also work in tech companies, analyzing user data to improve customer experience, optimize marketing strategies, or personalize services. Your expertise in statistical analysis, machine learning, and data visualization will be key to solving complex business problems and driving strategic decisions across various sectors.

A specialist in the automation of business processes

The use of artificial intelligence in process automation allows for significant streamlining of operations within companies. As a specialist in automation, you will create solutions that enable the automatic processing of documents, analyzing financial results, and optimizing supply chains.

AI Research Expert

After completing your studies, you can pursue a career in research institutions or universities, where you will focus on developing new theories and technologies in the field of artificial intelligence. You may work on advancing algorithms that enable better understanding, such as natural language processing systems, like speech recognition systems used by virtual assistants.

AI Consultant

As an AI consultant, you will advise companies on how to implement modern AI technologies to improve their competitiveness and efficiency. You may help businesses that want to introduce AI-based systems to analyze customer data and predict their needs, similar to how e-commerce companies use these systems.

This program is perfect for you if:

You are interested in new technologies and the development of innovative solutions

This program is ideal for you if you are passionate about the latest technologies and want to have an impact on creating innovative products. Working with artificial intelligence offers the opportunity to engage in projects that are changing the way we live and work.

You enjoy solving difficult problems and analyzing data

This program is for you if you are someone who finds satisfaction in tackling challenges related to analyzing large datasets and uncovering hidden patterns. During your studies, you will work on projects that require not only mathematical skills but also creativity in developing solutions.

You want to impact the future of various sectors of life and work

This program is ideal for you if you want the technology you create to have a real impact on the development of many sectors, such as healthcare, finance, or education.

Program and structure of studies

DOWNLOAD THE STUDY PROGRAM

practical profile of education

Practical skills

53%

Theoretical knowledge

32%

Professional internships

15%

Boring classes

0%

MAJOR AND SPECIALIZATION SUBJECTS FOR THE COMPUTER SCIENCE PROGRAM

  • English Language

  • Logic and Set Theory

  • Mathematics

  • Microeconomics

  • Basics of Programming

  • Basics of Management

  • Introduction to Computer Science

  • Logistics

  • Mathematics

  • Basics of Marketing

  • Ethics

  • Basics of Digital Technology

  • Basics of Telecommunications

  • Object-Oriented Programming

  • Algorithms and Data Structures

  • Computer Architecture

  • Physics

  • Event-Driven Programming

  • Social Aspects of the Internet

  • Statistics

  • Signal and Information Theory

  • Databases

  • Physics

  • Basics of Web Programming

  • Commercial Law

  • Computer Networks

  • Operating Systems

  • IT Project Management

  • Automation and Robotics

  • Databases

  • System and Network Security

  • Electrical Engineering and Electronics

  • Computer Graphics

  • Software Engineering

  • Computer Networks

  • Basics of Artificial Intelligence

  • Consultation and Thesis Work Implementation

  • Professional Internship

  • Physical Education

  • Information Protection in Computer Networks

  • Internet of Things and Mobile Devices Security

  • Digital Forensics

  • Security Management

  • Consultation and Engineering Thesis Work Implementation

  • Internships (3 months + 3 months)

Tuition fees

Tuition fees for the studies in English language - academic year 25/26

Admission fee (non refundable)
2000 €
FOR EU COUNTRIES
FOR NON EU COUNTRIES
FULL-TIME STUDIES TUITION FEE
(PER YEAR)
EU/CIS = All EU countries, all Balkan countries, Ukraine, Belarus, Moldova, Mongolia, Georgia, Armenia, Kazakhstan, Turkmenistan, Tajikistan, Uzbekistan, Azerbaijan, Kyrgyzstan, Turkey.
2700 €
FULL-TIME STUDIES TUITION FEE
(PER YEAR)
For non-EU countries
3500 €

Admission rules