Lublin, Poland

Artificial Intelligence
(Computer Science)

Sztuczna inteligencja

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

Field of studies: Computer Science
Language: PolishStudies in Polish
Kind of studies: full-time studies, part-time studies
Studies online Studies online
  • Description:

  • pl
University website: en.wspa.pl

Why study Artificial Intelligence at WSPA?

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Why It's Worth It:

Cutting-edge focus on Artificial Intelligence

The Computer Science program at University College of Enterprise and Administration in Lublin (WSPA) stands out due to its strong emphasis on the rapidly evolving field of Artificial Intelligence. By integrating AI into the core curriculum, the institution ensures that students are not just learning traditional computing, but are mastering the technologies that define the future of the global digital economy. This specialization prepares future engineers to design intelligent systems and implement machine learning solutions across various industries.

Comprehensive engineering foundation

Studying at this university provides a solid technical background that leads to an engineering degree, which is highly valued in the international job market. The curriculum is designed to balance theoretical knowledge with intensive practical application, allowing students to understand the architecture of modern computer systems. This robust educational framework at WSPA enables participants to tackle complex technical challenges and develop innovative software from the ground up.

Practical skills in modern laboratories

Education in this field is centered around hands-on experience gained in well-equipped specialized laboratories. Students have the opportunity to work with professional tools and environments, translating classroom concepts into real-world projects. This practical approach ensures that graduates are not only familiar with code but also with the entire lifecycle of software development, including testing, deployment, and maintenance of advanced digital infrastructures.

Programming and software development

The program covers a wide array of programming languages and methodologies, enabling students to become versatile developers. From low-level systems programming to high-level application design, the coursework is tailored to meet current industry standards. This versatility allows future professionals to adapt to different technological stacks and remain competitive in a landscape where coding languages and frameworks are constantly evolving.

Global career opportunities

As the program is conducted in English, it naturally prepares students for a career in the international arena. Graduates are equipped with the technical vocabulary and communication skills necessary to work in multinational corporations or remote global teams. The university fosters an environment where technical expertise meets linguistic proficiency, opening doors to top-tier technology hubs around the world and providing a significant advantage in the recruitment process.

Expert faculty and industry connections

The teaching staff consists of experienced practitioners and academics who bring valuable insights from the technology sector directly into the classroom. Through these connections, the curriculum remains aligned with the actual needs of the labor market. Students benefit from the mentorship of experts who understand the nuances of the IT industry, helping them to build professional networks even before they complete their degree.

Project-based learning and teamwork

A significant portion of the studies involves collaborative projects that mirror the professional environment of tech companies. Students learn how to work effectively in agile teams, manage project timelines, and solve problems collectively. These soft skills, combined with technical prowess, are essential for anyone aiming to lead development teams or manage complex IT transitions in large organizations.

Innovation and creative problem solving

The study path encourages an innovative mindset, pushing students to think outside the box when designing digital solutions. Whether developing mobile applications, managing large databases, or securing networks, the focus remains on finding efficient and creative ways to use technology. This analytical approach ensures that graduates can contribute to the technological advancement of any enterprise they join.

Flexibility and future-proof education

The field of Computer Science is one of the most dynamic areas of study, and the program at this institution is built to be adaptable. By focusing on fundamental principles alongside the latest trends like AI, the university ensures that the knowledge provided remains relevant for years to come. Students are taught how to learn and adapt, which is perhaps the most critical skill in a world where technology changes almost daily.

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 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
Intelligence
Each generation imagines itself to be more intelligent than the one that went before it, and wiser than the one that comes after it.
George Orwell, in a review of A Coat of Many Colours: Occasional Essays by Herbert Read, Poetry Quarterly (Winter 1945).
Artificial Intelligence
The AI does not hate you, nor does it love you, but you are made out of atoms which it can use for something else.
Eliezer Yudkowsky (2006) in Artificial Intelligence as a Positive and Negative Factor in Global Risk, August 2006

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