Description of studies

You gain new knowledge and skills thanks to classes conducted on the MS Teams platform. You communicate with lecturers and students via the Internet, in real time (synchronously, at least 90% of hours in relation to all hours provided for in the study program). You participate in classes on weekends, according to the agreed schedule of meetings.

 

online

Big Data is an expression that has become popular all over the world. The constant increase in the amount of data results in the emergence of new solutions that make it possible to search, collect, process and analyze data. Proper analysis of these data can have a significant impact on the development of the company and improvement of its competitiveness on the market. The most important thing in Big Data is not the collection of data itself, but its processing and practical application of the conclusions drawn from it. It is worth mentioning that the collected data is obtained in accordance with the law.

SP_GDY

Purpose of the studies

The aim of the studies is to prepare you for the analysis and processing of large data sets. The studies meet the huge demand for specialists who have practical knowledge in the area of ​​data processing in the Tri-City market. The studies provide knowledge about the tools used in data engineering. They are addressed to all people who would like to work in the area of ​​Big Data: finance and banking, social media (e.g. Facebook, LinkedIn, Twitter, Google), in sales (e.g. Amazon), companies creating applications for smartphones and tablets.

What do you get?

  • You will gain the latest knowledge in the field of Big Data & Data Science
  • All classes are conducted in computer laboratories
  • You have the opportunity to meet many specialists in many fields
  • You will learn Microsoft Azure

For whom?

The studies are aimed for people who do not necessarily graduate from IT studies, but would like to improve their qualifications in the field of Big Data, mainly graduates of economic studies, engineering, biotechnology and mathematics.

Nie czekaj, zapisz się online. Pierwsi korzystają najwięcej!

do 25 kwietnia
czesne już od
285 zł
240 zł
miesięcznie

Zapisując się do 25 kwietnia, zyskujesz 1200 zł, dzięki:

  • 800 zł zniżki w czesnym rozliczanej przez cały okres studiów, proporcjonalnie do wybranego systemu ratalnego,
  • 400 zł dzięki zwolnieniu z opłaty wpisowej.

 

 

 

Czesne już od 240 zł 285 zł miesięcznie! Wpisowe 0 zł.

Najniższa cena z ostatnich 30 dni: 285 zł / miesiąc

Jeśli jesteś naszym absolwentem, zyskasz jeszcze więcej 1400 zł:

  • 1000 zł zniżki w czesnym rozliczanej przez cały okres studiów, proporcjonalnie do wybranego systemu ratalnego,
  • 400 zł dzięki zwolnieniu z opłaty wpisowej.

Program studiów

Postgraduate Program on Big data. Data Engineering

Liczba miesięcy nauki: 9
Liczba godzin: 192
Liczba zjazdów: 10
Liczba semestrów: 2
Zobacz program studiów
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Kontakt

Na Twoje pytania odpowie Biuro Rekrutacji studiów I i II stopnia oraz studiów podyplomowych

Parter - pokój 1
ul. Śląska 35/37
81-310 Gdynia

E-mail: rekrut@gdynia.merito.pl
Tel.: 58 669 77 21

Godziny otwarcia:
  • pn-cz: 09:00 - 16:00
  • pt: 09:00 - 15:00
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