Description of the scope of training
The “Information Technology in Big Data” specialization in the Applied Computer Science major is designed to prepare the graduate for work in the widely understood IT sector related to databases and big data analysis. This is a unique opportunity, providing in-depth knowledge of modern database technologies and artificial intelligence, while developing the skills necessary to work as a Big Data project manager.
The program for this specialization focuses on key topics such as data streaming (processing data streams on a daily basis), big data mining and data science.
What will you learn?
The learning path will prepare graduates to work in the dynamic and growing field of Big Data, where analysis of vast amounts of data is becoming essential for making key business decisions. They will obtain a comprehensive understanding of advanced database technologies, such as NoSQL, and learn how to effectively use a variety of data analysis tools.Graduates will acquire knowledge and skills related to the implementation of artificial neural networks and the recognition of images and video material, using advanced artificial intelligence methods.
Your educational pathway
- Exploration of large data bases
- Smart image processing
- Algorithms and data streaming systems
- Signal analysis
- Work experience (in the field of Information Technology in Big Data)
Future job prospects
Graduates of the Information Technology in Big Data specialization will successfully find themselves in the following positions:
- Manager of the Big Data Analysis Division
- SQL Developer Team Leader
- Data Scientis Manager
- Analytics and Data Visualization Manager
- Developer of large-scale database systems
- Development of entrepreneurship, protection of industrial property and copyright 2 ECTS 2 ECTS
- English - Professional English for 3 ECTS
- Corporate Social Responsibility 1 ECTS
- E-business/Industry Concept 2 ECTS
- Computing systems in IT 4 ECTS
- Logic for IT professionals 4 ECTS
- Advanced databases and data warehousing 4 ECTS
- Mobile systems 4 ECTS
- Application of neural networks 4 ECTS
- Advanced machine learning methods 4 ECTS
- Computer aided decision making 4 ECTS
- Cyber Security 4 ECTS
- Computer Science and industry 3 ECTS
- Work experience 15 ECTS
- Learning path (including master's thesis) 15 ECTS
The reasons to study Computer Science at the WSZiB in Cracow
Real graduate studies
Different educational paths
Certified teachers and practitioners
Unique study atmosphere
Well-equipped laboratories
Curriculum
Flexible curriculum
Azure Dev Tools for Teaching
Proprietary web services
