Specialisation on Economics I field of study

Data Science in Economics

specialisation information

faculty Faculty of Economics and Management

studies first-cycle studies

main language English

duration3  years

Studies mode full-time studies

Admissions limit 25 - full-time studies
25 – (available free seats – 7)

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Admissions open

Partners

Major description

Nowadays, the ability to make important decisions based on data and statistical analysis gives unbelievable advantage on the market. This is why Data Scientists, people who conduct these analyses, are becoming one of the most desired, important and best paid employees in all kinds of companies. This is especially important in Economics and Finance, where one can optimise economical decisions using data analysis.

As a student of Data Science in Economics:

  • you will begin your data scientist career – one of the most important and best paid jobs in modern world.
  • you will acquire knowledge on how data science can be applied in economic setting.
  • you will learn how you can use artificial intelligence, machine learning and data analysis to solve economic problems.
  • you will master Python and R – the two most used programming languages in Data Science.
  • you will significantly develop your analytical and problem-solving skills.
  • you can take advantage of a wide range of internships offered by the University and held at international organisations, embassies, State institutions, and advertising agencies.
  • you will gain experience working in an international environment through everyday contact with students from all over the world.
  • you will gain qualifications that will allow you to establish your own company and assume positions requiring analytical thinking and interpreting the contemporary economic and social transformations.
  • you will be learning from the best: our lecturers are renowned academicians and experienced business practitioners.
  • having achieved the BA title, you can continue your education at second-cycle or postgraduate studies at our University.

 

Partnership with Exadel provides students with amazing opportunities such as:

  •  internship at Exadel for the best students;
  • participation in Exadel Sandboxes as part of studies programme (research project at 3rd year). During Sandboxes students realise projects in small teams under supervision of Exadel’s employees.

Career

  • Fintech companies
  • Research and development companies
  • Software publishers
  • Foreign trade entities
  • International corporations
  • Banks and international financial institutions
  • Consulting companies

Faculty members

Programme fees2022/2023 academic year

Data Science in Economics
full-time studies
year year year
Semester Fee (zł)8730 zł9000 zł9270 zł
Semester Fee (€)1920 €1980 €2040 €
Semester Fee - 4 instalments (zł) 4 x 2182,50 zł 4 x 2250 zł 4 x 2317,50 zł
Semester Fee - 4 instalments (€) 4 x 480 € 4 x 495 € 4 x 510 €
Data Science in Economics
full-time studies
Semester Fee (zł)Semester Fee - 4 instalments (zł)
year 8730 zł 4 x 2182,50 zł
year 9000 zł 4 x 2250 zł
year 9270 zł 4 x 2317,50 zł
Semester Fee (€)Semester Fee - 4 instalments (€)
year 1920 € 4 x 480 €
year 1980 € 4 x 495 €
year 2040 € 4 x 510 €

Admissions

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
      WBKPPLPPXXX
    • Payments in EUR:
      Santander Bank Polska SA
      Aleja Jana Pawła II 17, 00-854 Warszawa.
      PL83 1910 1048 2209 0006 3981 0002
      WBKPPLPPXXX
    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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