Warsaw, Poland

Intelligent Systems and Data Science
(field of studies: Computer Science)

Bachelor's - engineer
Table of contents
studenci-testuja-inteligentnego-robota-w-laboratorium

⇑Intelligent Systems and Data Science at PJATK

Field of studies: Computer Science
Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
  • Description:

  • pl
University website: www.pja.edu.pl/en/

⇑Why choose the Intelligent Systems and Data Science specialisation at the Polish-Japanese Academy of Information Technology?

Dlaczego warto studiować w Polsko-Japońskiej Akademii Technik Komputerowych
Why study it:

Intelligent Systems and Data Science is a specialisation within the Computer Science programme, a full-time Bachelor's course taught in English at the Polish-Japanese Academy of Information Technology (PJAIT). It suits anyone who wants to move into artificial intelligence with a strong emphasis on analysing and processing data.

Programme: machine learning on a Python foundation

You build a solid theoretical base in machine learning: algorithms for classification, regression and clustering, plus methods for evaluating and optimising models. Python is the central language of the specialisation, so you work with its rich ecosystem of open-source libraries for machine learning, natural language processing and data analysis. In practice you train models using hardware acceleration and manage experiments and environment configurations. The specialisation courses are Fundamentals of Machine Learning and AutoML, and in the last semester you are encouraged to take Architecture of AI Solutions and Implementations.

Specialisation: classic AI and modern architectures

The programme joins classic and current topics of artificial intelligence:

  • expert systems, search algorithms, fuzzy logic and decision-making under uncertainty
  • neural networks, sequential models and transformers
  • large language models and natural language processing
  • generative technologies, including GAN models and transformer architectures that produce text, images, code and music
  • image analysis, stream data processing and deep learning techniques

After graduation: data analysis across industries

Graduates are prepared to work in sectors such as medicine, finance, industry and new technologies, where advanced data analysis and generative AI systems are becoming ever more important.

Thesis topics show what you will be able to do: analysing medical images with deep learning, classifying text for automatic document processing, detecting fraud in financial transactions, or building a virtual assistant for customer service based on natural language processing.

Based on the programme pages at pja.edu.pl.

⇑Test: Is Intelligent Systems and Data Science the right fit for you?

students-analysing-data-charts-on-laptops

10 questions · two minutes

1. A music app keeps recommending songs you genuinely like. What intrigues you about that?

2. How do you get on with maths, especially statistics and probability?

3. In computing class you’re writing a simple program. How does it go?

4. Tool documentation, courses and articles on artificial intelligence are in English, and you’ll do data projects in an international group. How does that sound?

5. You’re handed a spreadsheet of survey results from students at your school. What do you do?

6. A chatbot gives you a confident but wrong answer. How do you see it?

7. You read that a facial recognition system works less well for some groups of people. What do you make of it?

8. Your code isn’t working and you don’t know why. How do you react?

9. How do you picture your future job?

10. What motivates you most to study Intelligent Systems and Data Science?

⇑Definitions and quotes

Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Data Science
Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Intelligent Systems
Intelligent Systems Co., Ltd. is an independent Japanese video game developer closely affiliated with Nintendo and best known for developing the Fire Emblem, Wars, and Paper Mario series. Originally, the company was headquartered at the Nintendo Kyoto Research Center in Higashiyama-ku, Kyoto, but later moved to a building near Nintendo's main headquarters in October 2013.
Science
Science (from Latin scientia, meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.
Science
Within the short span of a human life and with man's limited powers of memory, any stock of knowledge worthy of the name is unattainable except by the greatest mental economy. Science itself, therefore, may be regarded as a minimal problem, consisting of the completest possible presentment of facts with the least possible expenditure of thought.
Ernst Mach, The Science of Mechanics: A Critical and Historical Account of Its Development (1893) p. 490, Tr. Thomas J. McCormack.
Science
Take a look at George Gamow, who is now recognized as one of the great cosmologists of the last hundred years. I speculate that he probably didn't win the Nobel Prize because people could not take him seriously. He wrote children's books. His colleagues have publicly stated his writing children's books on science had an adverse effect on his scientific reputation, and people could not take him seriously when he and his colleagues proposed that there should be a cosmic background radiation, which we now know to be one of the greatest discoveries of 20th-century physics.
Michio Kaku, in "Borrowed Time: Interview with Michio Kaku".
Science
Science falsely so called.
I Timothy, VI. 20. Quotes reported in Hoyt's New Cyclopedia Of Practical Quotations (1922), p. 691-92

Contact:

Koszykowa str. 86
02-008 Warsaw
phone: (+48) 22 58 44 500
fax: (+48) 22 58 44 501
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