Warsaw, Poland

Artificial Intelligence
(Computer science)

Bachelor's - engineer
Table of contents
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Artificial Intelligence at ATA

Field of studies: Computer science
Language: EnglishStudies in English
Kind of studies: full-time studies, part-time studies
  • Description:

  • pl
University website: akademiata.pl/en

Why study Artificial Intelligence at ATA?

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Why It's Worth It:

Future-oriented Computer Engineering studies

Computer Engineering program at the Akademia Techniczno-Artystyczna (ATA) provides students with a solid foundation in modern technology, with a particular focus on the Artificial Intelligence specialization. This educational path is designed for those who want to understand and create the systems of tomorrow, combining technical expertise with creative problem-solving. By choosing this major at the University of Technology and Arts in Warsaw, students join an institution that effectively bridges the gap between academic theory and the practical demands of the global IT sector.

Focus on Artificial Intelligence and innovation

The specialization in Artificial Intelligence allows participants to dive deep into the world of machine learning, neural networks, and data analysis. Students learn how to design intelligent algorithms that can transform industries ranging from healthcare to autonomous vehicles. The curriculum is constantly updated to reflect the latest trends, ensuring that learners are working with the same tools and technologies used by leading tech companies worldwide.

Balance between theory and practice

The educational model at ATA puts a heavy emphasis on hands-on experience, which constitutes a significant portion of the program. This approach ensures that students do not just learn about technology but actually build it. Through various projects, they gain the skills necessary to develop applications from scratch, manage complex databases, and implement cloud-based solutions, making them ready for the professional world from the moment they graduate.

Professional development through internships

Practical training is further enhanced by mandatory professional internships integrated into the curriculum. These placements allow students to test their skills in real-world environments, working alongside experienced industry professionals. This direct contact with the job market often leads to early career opportunities, as students build their networks and understand the organizational culture of modern IT enterprises.

Modern laboratories and infrastructure

To support the learning process, the institution provides access to state-of-the-art facilities and specialized computer labs. Students have the opportunity to work with advanced hardware and software, including VR technology and 3D printing tools. Such an environment fosters experimentation and allows for the testing of innovative ideas in a controlled, professional setting, which is crucial for mastering complex engineering tasks.

Career opportunities in a global market

Graduates are prepared to take on various roles, such as AI engineers, application developers, or systems analysts. The skills acquired during the studies are highly sought after in sectors like finance, manufacturing, and business consulting. Furthermore, the program encourages an entrepreneurial mindset, equipping students with the knowledge needed to launch their own tech startups or consulting firms in the rapidly evolving digital economy.

Collaborative and international environment

Studying at the university offers more than just technical knowledge; it provides a platform for collaboration in diverse teams. Working on joint projects reflects the reality of the IT industry, where communication and teamwork are as important as coding skills. Additionally, the international character of the program and the possibility of participating in exchange initiatives allow students to gain a broader perspective on global technological challenges.

Foundation for lifelong learning

The field of Computer Engineering is characterized by constant change, and the program at ATA is designed to teach students how to adapt. By mastering the fundamentals of algorithms, computer architecture, and software design, graduates possess a versatile toolkit that allows them to continuously update their knowledge. This ensures long-term career stability and the ability to lead innovation in whichever direction the technology sector moves in the future.

Test: check whether Artificial Intelligence is the right major for you!

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Find Out If Artificial Intelligence Is the Right Major for You!

1. Do you enjoy solving logical problems and thinking in terms of algorithms?

2. Are you interested in programming, writing code, and building software systems?

3. Do you enjoy working with data, extracting patterns, and making predictions?

4. Are you curious about how machines can learn, reason, or mimic intelligent behavior?

5. Do you enjoy mathematics, especially linear algebra, probability, and discrete structures?

6. Are you comfortable debugging complex systems and iterating when things don’t work initially?

7. Are you interested in ethical questions around AI, such as fairness, bias, and responsibility?

8. Do you enjoy interdisciplinary thinking—combining computer science with psychology, linguistics, or neuroscience?

9. Are you motivated to stay updated and learn continuously as the field evolves rapidly?

10. Do you like collaborating on technical projects, sharing ideas, and integrating feedback?

Definitions and quotes

Artificial Intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
Intelligence
Intelligence has been defined in many different ways to include the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving. It can be more generally described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
Intelligence
We should take care not to make the intellect our god; it has, of course, powerful muscles, but no personality.
Albert Einstein, "The Goal of Human Existence", Out of My Later Years (1956), p. 260
Artificial Intelligence
The techniques of artificial intelligence are to the mind what bureaucracy is to human social interaction.
Terry Winograd (1991) "Thinking Machines: Can there be? Are we?"
Intelligence
We really seek intelligence not for the answers it may suggest to the problems of life, but because we believe it is life,—not for aid in making the will of God prevail, but because we believe it is the will of God. We love it, as we love virtue, for its own sake, and we believe it is only virtue’s other and more precise name.
John Erskine, The Moral Obligation to be Intelligent (1915), pp. 26-27

Contact:

ul. Olszewska 12
00-792 Warsaw, POLAND
Tel. + 48 22 875 30 21
Tel. + 48 22 825 80 35
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