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« Bachelor's and Master's programmes in Poland   « Universities in Poland
Warsaw, Poland
Polish-Japanese Academy of Information Technology

Computer Science

Informatyka

Master's
Table of contents
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⇑Computer Science at PJATK

Language: PolishStudies in Polish
Subject area: computer science
Kind of studies: full-time studies, part-time studies
Studies online Studies online
  • Description:

  • pl
The Faculty of Information Technology offers graduate studies in Computer Science for hose who completed undergraduate studies at PJIIT or other schools. The language of instruction is Polish. The curriculum is adjusted the requirements of the European Credit Transfer System. We try to monitor current trends in technology and market needs so as to equip our graduates with the best up-to-date knowledge and skills. In each semester students have to do a number of mandatory courses, elective courses and specialised courses. Each successfully completed course gives a student a certain number of credits. Subjects of master theses are chosen to meet students' interests. The following gradate programmes are available: full-time part-time weekend part-time online Graduates receive the degree of MSc.
Specialities:
University website: www.pja.edu.pl/en/

⇑Why study Computer Science (Master's) at the Polish-Japanese Academy of Information Technology?

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

Computer Science (Master's) at the Polish-Japanese Academy of Information Technology (PJAIT) is a full-time second-cycle programme taught in English. It is for engineering graduates who want to deepen their knowledge in one chosen area of IT.

Programme: specialised expertise and research

The master's programme lets you develop specialised expertise, take part in advanced research projects and work with industry partners on real technological challenges. Classes are taught by researchers and IT industry experts.

The curriculum keeps mathematics close to practice, because it helps you understand algorithms, data analysis and artificial intelligence. Once the deadline for the questionnaire has passed, the decision cannot be changed, so it is worth choosing your area with care and thinking about your future career first.

Specialisation: four specialised areas

Each student chooses one specialised area, or two at once, by completing a questionnaire. The areas are:

  • Data Science – analysing large data sets with methods that go beyond classical approaches.
  • Software, business process and database engineering – databases, software engineering, business application programming and project management.
  • Mobile device network and cloud computing technologies – networks, cloud services, DevOps and mobile applications.
  • Interactive multimedia – interaction design, graphical interfaces, new media, digital culture, and augmented and virtual reality.

After graduation: careers and doctoral studies

Depending on your area, you can work as a business analyst, system analyst, database designer, software engineer, project manager, cloud services designer, DevOps engineer or mobile application developer. Employers include software companies, banks, insurers, telecommunications operators and cloud service providers.

If you prefer research, you can continue at the PJAIT Doctoral School and work with the international academic community and industry partners.

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

⇑Test: check whether Computer Science is the right major for you!

programming-background-with-person-working-with-codes-computer

Answer all questions to see if Computer Science (Master's) is the right fit for you!

1. Do you want to deepen your knowledge of algorithms, data structures, and computational theory?

2. Are you interested in advanced software engineering, system design, and building scalable systems?

3. Do you want to specialize in areas like artificial intelligence, machine learning, or data science?

4. Are you willing to engage in research or complex project work involving distributed systems, cybersecurity, or human-computer interaction?

5. Do you believe that a two-year master’s degree will significantly elevate your ability to contribute to cutting-edge computing solutions?

6. Are you interested in leveraging computing for interdisciplinary applications (e.g., bioinformatics, computational physics, smart cities)?

7. Do you want to develop strong skills in software performance, optimization, and reliable system evaluation?

8. Are you prepared to collaborate with researchers, engineers, and domain experts to integrate computing solutions?

9. Are you interested in ethical, security, and societal implications of computing (e.g., privacy, bias, AI governance)?

10. What motivates you most to pursue a master’s in Computer Science?

⇑Definitions and quotes

Computer
A computer is a device that can be instructed to carry out sequences of arithmetic or logical operations automatically via computer programming. Modern computers have the ability to follow generalized sets of operations, called programs. These programs enable computers to perform an extremely wide range of tasks.
Wikipedia
Computer Science
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to, information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems. See glossary of computer science.
Wikipedia
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.
Wikipedia
Computer Science
Any problem in computer science can be solved with another level of indirection.
David Wheeler (Attributed in: Butler Lampson. Principles for Computer System Design. Turing Award Lecture. February 17, 1993.) Wheeler is said to have added the appendage "Except for the problem of too many layers of indirection."
Wikiquote
Science
We’ve arranged a global civilization in which most critical elements profoundly depend on science and technology. We have also arranged things so that almost no one understands science and technology. This is a prescription for disaster. We might get away with it for a while, but sooner or later this combustible mixture of ignorance and power is going to blow up in our faces.
Sir Ernest Rutherford from The Demon-Haunted World: Science as a Candle in the Dark (1996), 26.
Wikiquote
Computer Science
I can’t be as confident about computer science as I can about biology. Biology easily has 500 years of exciting problems to work on. It’s at that level.
Donald Knuth (1993) Computer Literacy Bookshops Interview
Wikiquote
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