Specialisation on Management field of study

Big Data Management

specialisation information

faculty Faculty of Economics and Management

studies second-cycle studies

main language English

duration2  years

Studies mode full-time studies
(admissions closed)

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Admissions closed

Specialization aimed at managing of studying large data arrays, analyzing and developing various approaches and ready-made solutions in business in any area, extracting from large data arrays the information that helps optimize management processes.

The course curriculum in the field of Management offers an excellent career boost to students who are seeking to advance their management knowledge after completion of their undergraduate degrees. This practical, dynamic, curriculum provides a broad range of management concepts to learn how to apply innovative tools and methods for planning, organising and supervising that are necessary at top managerial positions. Substantial part of a programme is delivered through group projects, case studies, field trips, class discussion, simulations, and in co-operation with prominent guest speakers from national and international companies.

As a student of Big Data Management major:

  • you will gain analytical skills;
  • you will gain data visualisation skills;
  • you will gain problems solving skills;
  • you will learn basics of data mining;
  • you will get familiar with dedicated technology and big data tools.

As a Management field student:

  • you will gain cutting-edge expertise in corporate management, and ability to provide solutions to practical business issues by applying managerial theories;
  • you will learn how to analyse, design and manage new product processes in innovation and technology-based companies;
  • you will gain an opportunity to acquire the necessary skills to promote and apply the techniques of event organization;
  • you will gain a valuable experience of working in truly international environment through everyday contact with multicultural students from all over the world;
  • you will develop firm theoretical knowledge in management as well as the ability to carry out research in related fields;
  • you will be equipped with hard and soft skills required to successfully run your own business in a wide range of sectors;
  • you will learn how to apply innovative tools and methods for planning, organising and supervising that are necessary at top managerial positions;
  • you can take advantage of a wide range of internships offered by the University and held at international companies, governmental institutions and non-governmental organisations;
  • you will be learning from the best: our lecturers are renowned academicians and experienced business practitioners.

Faculty members

Programme fees2022/2023 academic year

Big Data Management
full-time studies
year year
Semester Fee (zł)9570 zł9840 zł
Semester Fee (€)2100 €2160 €
Semester Fee - 4 instalments (zł) 4 x 2392,50 zł 4 x 2460 zł
Semester Fee - 4 instalments (€) 4 x 525 € 4 x 540 €
Big Data Management
full-time studies
Semester Fee (zł)Semester Fee - 4 instalments (zł)
year 9570 zł 4 x 2392,50 zł
year 9840 zł 4 x 2460 zł
Semester Fee (€)Semester Fee - 4 instalments (€)
year 2100 € 4 x 525 €
year 2160 € 4 x 540 €


Check out the qualification terms for your selected studies

Fill out the online application form

Gather all therequired documents

Pay the 85 PLN or 20€ enrolment fee.*

  • The fee should be paid to the University's bank account:
    • Payments in PLN:
      Santander Bank Polska SA 
      Aleja Jana Pawła II 17, 00-854 Warszawa.
      PL56 1910 1048 2209 0006 3981 0003
    • Payments in EUR:
      Santander Bank Polska SA
      Aleja Jana Pawła II 17, 00-854 Warszawa.
      PL83 1910 1048 2209 0006 3981 0002
    Please enter your name, surname and enrolment number in the transfer title field.

Lazarski University graduates are exempt from the enrolment fee.

* The enrolment fee is non-refundable. It is refunded in full only if the given major is not run in the given academic year.

Deliver the documents to the Recruitment Office.

Wait for the enrolment decision.

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