Master's in Data Engineering
A specialized programme in Poland training experts to design, process, and analyze real-world data for industry and research.
Best for:Best for graduates with a background in computer science, information technology, or related fields seeking to specialize in data engineering, database design, and analytical systems.
Overview
This Master’s programme at the University of Zielona Góra focuses on equipping graduates with advanced skills in data engineering, including big data technologies, data safety, and analytical tools. Students learn to independently use specialist software, run simulations, and visualize results to meet employer expectations. The curriculum covers data collection, processing, database design, and decision-support systems, preparing graduates for roles in IT-driven industries or further research. The programme is taught in English and emphasizes hands-on problem-solving with real-world datasets. It is ideal for those seeking expertise in data-driven decision-making and system design.
What you'll do
- Develop and implement data processing pipelines for real-world datasets.
- Design and manage databases and analytical systems for decision support.
- Analyze and visualize data to derive actionable insights for employers.
- Apply advanced techniques in big data handling and data safety protocols.
- Simulate potential scenarios using specialized software tools.
- Collaborate on projects requiring data-driven problem-solving.
- Develop skills in reporting and presenting findings to stakeholders.
Requirements
Degree required: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent).
Degree offered: Master of Science (MSc) in Data Engineering
Language: English; proficiency sufficient for academic study and research.
Instruction: English
- Proficiency in programming languages (e.g., Python, Java, SQL).
- Understanding of database management systems (e.g., MySQL, PostgreSQL).
- Basic knowledge of data analysis and visualization tools (e.g., Tableau, Power BI).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Problem-solving skills for real-world data challenges.
- No specific nationality restrictions.
- No residency requirements mentioned.
- No age limits specified.
- No prior work experience caps.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: unknown (programme-specific admission cycles)
Applicants must submit their application through the university’s online portal. Required documents typically include a Bachelor’s degree certificate, transcripts, proof of English proficiency, and a motivation letter. Additional requirements may vary based on admission criteria.
- Bachelor’s degree certificate
- Transcripts of academic records
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Motivation letter or statement of purpose
- CV or resume
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.