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!

do 2 stycznia
czesne już od
445 zł
378 zł
miesięcznie!

Zapisując się do 2 stycznia zyskujesz 1200 zł zniżki, na którą składa się:

  • 800 zł zniżki w czesnym
  • 400 zł zniżki we wpisowym

 

Czesne już od 378 zł miesięcznie!

 

Najniższa cena z ostatnich 30 dni: 445 zł / miesiąc

Jesteś naszym absolwentem? Zyskujesz więcej!  1400 zł zniżki, na którą składa się:

  • 1000 zł zniżki w czesnym
  • 400 zł zniżki we wpisowym

 

Czesne już od 378 zł miesięcznie!


Najniższa cena z ostatnich 30 dni: 445 zł / miesiąc

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

Wykładowcy

Krzysztof Ziółkowski 
Maciej Sykulak 
Krzysztof Ziółkowski 

A graduate of Kiel University of Applied Sciences and the University of Gdańsk. Additionally, he completed post-graduate studies in Statistics and Financial Mathematics at the Faculty of Technical Physics and Applied Mathematics of the Gdańsk University of Technology. He combines professional...

Maciej Sykulak 

A graduate of the University of Gdańsk and the Warsaw School of Economics. Currently, involved in projects related to machine learning and data engineering. In previous years, he was a specialist in automation and data quality analysis at the Thomson Reuters news agency. Practitioner,...

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Kontakt

Na Twoje pytania odpowie Biuro Rekrutacji

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

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