Information technology in Big Data
Data included in the analysis by the Labor Market Analysis Institute indicates that there is a growing demand for data scientists, Big Data engineers, and analytics experts. The report shows that employers are especially looking for people who, in addition to being proficient in programming tools, have critical thinking skills and understand the business context of data. This is also confirmed by data included in the justjoin.itraport. Additionally, the NTT DATA Business Solutions report: How is the digitization of industry changing manufacturing in Poland? identifies NoSQL as one of the key skills needed.
Discover your educational path
What should you know
when choosing this educational path?
As a second-cycle Applied computer science student, you will choose your educational path during the recruitment process.
Classes within the Big Data information technology path are held starting at the beginning of the academic year.
As a graduate of this path, you can find employment as a big data analytics manager, SQL developer team manager, data scientist manager, data analytics and visualization manager, or large database system designer.
What will we teach you?
you will learn about advanced database technologies such as NoSQL, and learn how to process and analyze large data sets in real time - you will learn how to use tools and programming languages that support data exploration and data warehouse construction
- you will gain practical skills in designing systems based on artificial intelligence, including artificial neural networks and image recognition
- you will develop the skills in system modeling and simulation necessary to make accurate data-driven business decisions
Acquire key competencies for working with data in the era of digital transformation
Information technology in Big Data is created in response to the growing demand on the labor market for specialists with the skills necessary to process and analyze large data sets. As part of the educational path, students will gain practical knowledge and skills in the field of modern database technologies, data streaming processing, and big data exploration. They will learn how to use tools and programming languages used in data analysis, and will become familiar with artificial intelligence methods, including artificial neural networks and image recognition. As part of the course, students will gain experience in working with database technologies, big data systems, and advanced tools for real-time signal and data analysis.
Join us!
Start planning your career today!
Enrol in a master's degree programme and gain practical knowledge in Applied computer science.
Do you have any questions?
Our recruitment department will be happy to answer them!
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12 635 68 05