| Code | Z-ID-NS1 |
|---|---|
| Organizational unit | Faculty of Management and Computer Modelling |
| Field of studies | Data Engineering |
| Form of studies | part-time |
| Level of education | first cycle (Bachelor) |
| Educational profile | practical |
| Language(s) of instruction | Polish |
| Duration | 3,5 years (7 semesters) |
| Recruitment committee address | aleja Tysiąclecia Państwa Polskiego 7, budynek C 25-314 Kielce |
| Office opening hours | poniedziałek 11.00-14.00 wtorek 11.00-14.00 środa 11.00-14.00 czwartek 11.00-14.00 piątek w dniach zjazdów 15.00-18.30 sobota w dniach zjazdów 7.30-12.30 |
| WWW address | https://wzimk.tu.kielce.pl/ |
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Description
Build the competencies that truly matter – data analytics, algorithms and technology.
The Data Engineering programme prepares specialists at the intersection of computer science, mathematics and management. It focuses on designing systems for data collection, processing and knowledge extraction, as well as information resource management. The curriculum covers programming, database technologies and analytical tools. It combines IT and data analytics competencies, enabling students to develop solutions based on artificial intelligence and machine learning.
During your studies you will:
- learn the methods and techniques of Data Science, including Machine Learning, Data Mining and data visualisation,
- learn Text Mining and Natural Language Processing (NLP),
- acquire the skills to design, implement and manage relational, graph and semantic databases,
- learn the principles of data quality verification, integration of distributed information resources and data protection,
- learn programming in Python, C++, Java and R, as well as the development of modern web and mobile applications,
- gain competencies in computer network configuration (Cisco Networking Academy) and cloud data security management,
- learn the fundamentals of finance and management accounting to understand business processes and support data-driven decision-making,
- develop soft skills, including communication, creativity and teamwork in an interdisciplinary environment.
Selected courses:
Discrete Mathematics, Statistics, Advanced Spreadsheet Applications, Algorithms and Data Structures, Fundamentals of Data Warehousing, Data Security in Computer Systems, Emerging Technologies in Information Systems, Mobile Application Programming, Data Relationship Modelling, Machine Learning, Discovering Relationships in Multidimensional Data, Management Methods and Techniques, Selected Aspects of Artificial Intelligence.
Career opportunities:
After graduation, you may pursue a career as:
- Data Engineer,
- Data Scientist,
- Database Administrator,
- Business Intelligence Systems Administrator,
- Big Data Specialist,
- Designer and Developer of Analytical and Information Systems.
REKRUTACJA NA STUDIA NIESTACJONARNE PIERWSZEGO STOPNIA
Warunkiem przyjęcia na studia pierwszego stopnia studiów niestacjonarnych jest złożenie wymaganych dokumentów. Kandydaci przyjmowani są na podstawie wymaganych dokumentów, aż do wyczerpania limitu miejsc. W przypadku, gdy liczba osób zgłoszonych jest większa niż ustalony limit, rekrutacja jest przeprowadzana na zasadzie konkursu świadectw.
Uwaga! Kandydaci zdający maturę w tym roku:
Aby móc zarejestrować się na studia należy w formularzu osobowym w zakładce "Wykształcenie" dodać Nową Maturę i wpisać rok uzyskania dokumentu 2026. Takie informacje są wystarczające do zarejestrowania się na studia. Resztę informacji należy uzupełnić po otrzymaniu wyników z egzaminu maturalnego.