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International Faculty of Engineering - IFE

Interdisciplinary Doctoral School

Mathematical Methods in Data Analysis

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Home > Overview of study programmes > Mathematical Methods in Data Analysis
Organizational unit running the field of study: 
Faculty of Technical Physics, Information Technology and Applied Mathematics
International Faculty of Engineering
Cycle of study: 
First-cycle
Mode of study: 
Full-time (degree programme)
Language of instruction: 
English
Degree awarded: 
Bachelor of Science
Duration of study: 

3,5 years.

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Czy wiesz, czym różnią się dane od informacji? Dane nie interpretują niczego, ponieważ są bez znaczenia, podczas gdy informacje, które uzyskujemy na podstawie danych są znaczące i istotne.

Description of the field of study: 

Do you know how much information can be extracted from data analysis? In order to become fully aware of this, you need to gain knowledge of the basic branches of mathematics. Thanks to the studies in Mathematical Methods in Data Analysis, you will discover knowledge that will allow you to explore data and make the right decisions based on it. Statistical data analysis will have no secrets for you, you will master the issues of classification, and you will learn to use stochastic methods in forecasting. The structure of the study program allows you to acquire not only mathematical knowledge that will enable you to build and evaluate data analysis models. You will also gain IT skills allowing for its practical use. In addition, by studying in English and gaining soft skills, in particular related to teamwork, you will be able to easily work in international companies. As a graduate of Mathematical Methods in Data Analysis, you can work wherever there is a need for database management, e.g. in the banking sector, in the insurance sector, in the medical market. Consultations of the study program with companies have shown that a graduate with such competences is very much in demand on the labour market.

The study program is available on the website.

Specializations: 
  • the ability to use basic methods and algorithms of data mining in current programming environments (R, Python, VBA),
  • knowledge of algorithms and computational methods important in data mining, including algorithmic methods of linear algebra, machine learning (R) methods, Big Data,
  • ability to use information systems in extracting knowledge from data (R, SQL, Python),
  • experience in designing innovative business data analysis applications (Power BI, Python).
What you gain: 
  • umiejętność posługiwania się podstawowymi metodami i algorytmami eksploracji danych w aktualnych środowiskach programistycznych (R, Python, VBA),
  • znajomość algorytmów i metod obliczeniowych istotnych w eksploracji danych, w tym algorytmicznych metod algebry liniowej, metod uczenia maszynowego (R), Big Data,
  • umiejętność wykorzystania systemów informatycznych w wydobywaniu wiedzy z danych (R, SQL, Python),
  • doświadczenie w konstrukcji innowacyjnych aplikacji analizy danych biznesowych (Power BI,  Python).
Cooperation with companies: 
  • Infosys,
  • epruf,
  • Commerzbank,
  • ING Tech,
  • Pekao SA.
Job perspectives: 

A graduate of the field of study may work in the following professions:

  • data analyst,
  • market analyst,
  • database designer and developer.

A graduate may also undertake second-cycle studies in mathematics, statistics, IT or in the field of data analysis, both in Poland and abroad.

Date of enrolment: 
12th of June - 10th of July 2023
Admission requirements: 

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