Nowy Sącz, Poland

Data Analysis
(field of studies: Management)

Analiza danych

Master's
Table of contents
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⇑Data Analysis at WSB-NLU

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

  • pl
University website: www.wsb-nlu.edu.pl/en

⇑Why choose the Data Analysis specialisation (Master's) at WSB-NLU?

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Why study it:

Data Analysis is a specialisation within the Master's programme in Management at Akademia WSB-NLU w Nowym Sączu – 4 semesters (2 years) of full-time study on the campus in Nowy Sącz, from Monday to Friday. It is designed for bachelor's graduates who want to combine management with IT, finance and mathematics and who like to analyse, check and investigate.

Programme: data, statistics and finance

Classes cover, among other things:

  • financial analysis
  • business data analysis
  • methods of statistical analysis
  • Big Data and Data Science
  • principles of business financing and trends in the modern economy

Specialisation: taught by people who work with data

The specialisation is taught by practitioners and analysts who work with data, including big data. It prepares you for companies where it matters to handle data correctly, analyse it and automate selected processes. You learn to use selected analytical tools, recognise what the data shows, get answers to business questions and present the results. You also practise estimating costs and recommending activities related to a project.

Languages: an English-language Master's

The specialisation is part of the English-language Management offer at WSB-NLU, with full-time classes on campus.

After graduation: analyst roles in firms of any size

Graduates can work as business development specialists in micro, small and large enterprises, including companies operating on a global scale.

Other typical roles are financial analyst, business analyst, data analyst, data mining expert and IT analyst – the programme was created in response to the growing need for specialists who can search for data, analyse it and present conclusions.

As of the 2026/27 admissions, based on the programme pages at wsb-nlu.edu.pl.

⇑Test: Is Data Analysis the right fit for you?

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10 questions · two minutes

1. A company reports that sales have dropped and asks you why. Where do you start?

2. Your analysis shows that customers who use a certain app feature spend more. A manager concludes the feature causes higher spending. How do you respond?

3. You receive a dataset full of missing values, duplicates and outliers. What’s your attitude?

4. How do you feel about advanced statistical methods such as regression models, Bayesian inference or time series analysis?

5. You need to present your findings to senior managers with no technical background. How do you prepare?

6. The programme is taught in English, and you’ll work on analytical projects with graduates from many countries. How do you see that?

7. You’re asked to analyse customers’ personal data. What do you consider first?

8. How would you feel about leading a small analytics team and setting priorities for requests from several departments?

9. Which future role sounds most like you?

10. What motivates you most to pursue a Master’s degree in Data Analysis?

⇑Definitions and quotes

Analysis
Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Data Analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Analysis
[A]t the close of the Middle Ages, when the so-called Arabic figures became established throughout Europe with the symbol 0 and the principle of local value, immediate progress was made in the art of reckoning. The problems... led up to the general solutions of equations of the third and fourth degree by the Italian mathematicians of the sixteenth century. Yet even these discoveries were made in somewhat the same manner as problems in mental arithmetic are now solved in common schools; for the present signs of plus, minus, and equality, the radical and exponential signs, and especially the systematic use of letters for denoting general quantities in algebra, had not yet become universal. The last step was definitively due to... Vieta... and the mighty advancement of analysis resulting therefrom can hardly be measured or imagined.
Thomas J. McCormack, "Joseph Louis Lagrange. Biographical Sketch" (1898) in his translation of Joseph Louis Lagrange, Lectures on Elementary Mathematics (1898); 2nd edition (1901) p. viii.
Analysis
The fact that all Mathematics is Symbolic Logic is one of the greatest discoveries of our age; and when this fact has been established, the remainder of the principles of mathematics consists in the analysis of Symbolic Logic itself.
Bertrand Russell, Principles of Mathematics (1903), Ch. I: Definition of Pure Mathematics, p. 5
Analysis
Analysis and natural philosophy owe their most important discoveries to this fruitful means, which is called induction. Newton was indebted to it for his theorem of the binomial and the principle of universal gravity.
Laplace, A Philosophical Essay on Probabilities, [Truscott and Emory] (New York 1902), p. 176.

Contact:

ul. Grunwaldzka 17
33-300 Nowy Sącz
tel. +48 18 44 99 100
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