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« Study Bachelor's and Master's in English in Poland
Dąbrowa Górnicza, Poland
WSB University

Computer Science

Master's
Table of contents
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⇑Computer Science at AWSB

Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
Specialities:
University website:
wsb.edu.pl/en
wsb.edu.pl/en/admissions/study-in-english

⇑Why study Computer Science at master's level at WSB University?

Dlaczego warto studiować w Akademii WSB
Why study it:

Computer Science at WSB University (Akademia WSB) is a four-semester master's programme taught in English. It is aimed at graduates of technical and IT fields who want to specialise in artificial intelligence, data analysis or multimedia.

Programme: advanced methods and data-driven technology

The curriculum covers advanced programming methods, databases and data warehouses, the modelling of IT systems, cloud infrastructure and services, and machine learning.

You learn to design and model information systems, work in advanced development environments and use analytical tools built on data. The emphasis is on analysing technological problems and creating innovative solutions in project work. Beyond technical knowledge the course develops your ability to design IT systems, analyse large data sets and use intelligent tools that support business and new technologies. You also build creativity and the skill of solving complex problems, in a project-oriented and international environment.

Specialisation: AI, data science or multimedia

You choose one of three specialisations:

  • Artificial Intelligence Application – machine learning, neural networks and the design of intelligent systems.
  • Data Scientist – analysis of large data sets, data mining, machine learning and the programming languages used in data science.
  • Multimedia Technologies – modern multimedia, image and sound processing, and solutions for the digital environment.

Labs: labs and team projects

Classes are hands-on: workshops, team projects and practical laboratory sessions, including virtual laboratories, taught by experts experienced in artificial intelligence and data analysis. You work on real technological problems, analyse data and build AI-based solutions, and the university's cooperation with business partners lets you follow current technology trends and meet industry practitioners while you study.

After graduation: AI, data and development roles

Where graduates work

  • RolesAI Specialist, Data Scientist, Machine Learning Engineer, Software Developer, data analyst, multimedia solutions designer
  • Employerstechnology companies, software houses, research and development centres, new media and organisations that rely on advanced IT and analytics

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

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

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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
Computer science is neither mathematics nor electrical engineering
Alan Perlis (1968) title of article "Computer Science is neither Mathematics nor Electrical Engineering" in: A. Finerman (Hg.), University Education in Computing Science, New York, London, pp. 69-77
Wikiquote
Computer Science
[Computer science] is not really about computers -- and it's not about computers in the same sense that physics is not really about particle accelerators, and biology is not about microscopes and Petri dishes...and geometry isn't really about using surveying instruments. Now the reason that we think computer science is about computers is pretty much the same reason that the Egyptians thought geometry was about surveying instruments: when some field is just getting started and you don't really understand it very well, it's very easy to confuse the essence of what you're doing with the tools that you use."
Hal Abelson (1986) Introduction of video of lectures on the Structure and Interpretation of Computer Programs (source).
Wikiquote
Computer Science
During the last years of the 1950s, the terminology in the field of computing was discussed in the Communications of the ACM, and a number of terms for the practitioners of the field of computing were suggested: turingineer, turologist, flowcharts-man, applied meta-mathematician, applied epistemologist, comptologist, hypologist, and computologist. The corresponding names of the discipline were, for instance, comptology, hypology, and computology. Later Peter Naur suggested the terms datalogy, datamatics, and datamaton for the names of the field, its practitioners, and the machine, and recently George McKee suggested the term computics. None of these terms stuck...
Matti Tedre (2006). The Development of Computer Science: A Sociocultural Perspective. p. 260
Wikiquote
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