Bachelor of Science in DATA ENGINEERING

42 Months On Campus Bachelors Program

Gdansk University of Technology

Program Overview

The Bachelor of Science in Data Engineering at Gdańsk University of Technology is a hands-on 3.5-year program (7 semesters) taught in English that equips you with skills to handle massive datasets from various sources, blending IT, math, statistics, and economics to drive smart business decisions. It's perfect for students passionate about tech and business who want practical expertise to become data pros ready for real-world roles in IT, finance, or management—think entry with just a high school diploma and strong math/physics/informatics background.

### Curriculum Structure
Year 1 dives into building a solid foundation in core tech and analytical skills, where you'll tackle Mathematics for problem-solving basics, Introduction to Programming to get comfortable coding algorithms, and Statistics to start making sense of data patterns. You'll spend plenty of time in practical labs, blending these with early economics insights to see how data fuels decisions right from the start.
Year 2 ramps up with big data tools and business applications, focusing on Databases for managing complex data storage, Data Analysis techniques to uncover hidden trends, and Economics for Engineers to link stats with market strategies. Hands-on projects here sharpen your ability to process real datasets, preparing you for team-based work in dynamic environments.
Year 3 (and final semester) emphasizes advanced integration, exploring Big Data Technologies like Hadoop for massive-scale processing, Machine Learning Basics for intelligent predictions, and Data Visualization to communicate insights effectively to business leaders. Culminating in a capstone project, you'll apply everything to solve industry-level challenges, graduating as a confident practitioner.

Focus areas: Data exploration in management and intelligent data processing—specializing in creating big data solutions or big data in business management.

Learning outcomes: You'll graduate ready for interdisciplinary projects, with strong skills in mathematics, statistics, economics, and IT; able to analyze data critically, build tools for business decisions, and interpret economic data for strategic choices—like a Data Engineer or Analyst.

Professional alignment (accreditation): This Engineer (inżynier) degree meets the 6th level of the Polish Qualifications Framework, delivered jointly by the Faculty of Electronics, Telecommunications and Informatics and Faculty of Management and Economics for a fully accredited, industry-aligned qualification.

Reputation (employability rankings): Graduates land high-demand roles like Data Scientist, Big Data Engineer, BI Analyst, or Financial Analyst in IT, banking, finance, and marketing—thanks to Gdańsk Tech's focus on practical skills that make you job-ready from day one.

Ready to take the next step? Check the official program page and apply today: https://pg.edu.pl/en/admission/bachelor-studies-international-students/study-programs-english/bachelor-science-data-engineering

Experiential Learning (Research, Projects, Internships etc.)

At Gdańsk University of Technology, the Bachelor of Science in Data Engineering program stands out for its strong focus on hands-on learning, blending IT, management, mathematics, statistics, and economics to turn you into a real-world data expert rather than just a theorist. You'll dive into practical classes where you collect, process, and interpret massive datasets using computer programs and algorithms, all within the state-of-the-art facilities of the Faculty of Electronics, Telecommunications and Informatics and Faculty of Management and Economics. This means access to cutting-edge labs and tools that prepare you for business environments, like those used in development teams for IT, banking, finance, and marketing.

Here's how our experiential learning ramps up your skills through specific program resources and opportunities:
- Specialized laboratories in the Faculty of Electronics, Telecommunications and Informatics, including the Nanotechnology Center with state-of-the-art equipment for advanced data-related experiments and simulations.
- Group-based labs and workshops, similar to our summer school formats with 1–4 student teams tackling ML applications, data analysis projects, and hands-on measurement techniques—directly applicable to data engineering coursework.
- Software and digital tools like MATLAB (proficiency encouraged for data processing and ML tasks), plus simulation tools for modeling, AI integration, cloud computing, and digital twins used in practical classes.
- Practical project work emphasizing the CDIO concept (Conceive–Design–Implement–Operate), including skill-based engineering projects focused on data handling from diverse sources.
- University libraries and research facilities across nine faculties, supporting your data engineering studies with access to ECTS-listed subjects and collaborative platforms.

These elements ensure you're job-ready—imagine jumping straight into IT or economic teams after graduation. Ready to apply? Check the full facilities details here: [Gdańsk University of Technology Facilities](https://pg.edu.pl/en).

Progression & Future Opportunities

In the Bachelor of Science in Data Engineering at Gdańsk University of Technology, you'll dive right into practical skills through a program that blends IT and management expertise, emphasizing hands-on work with large datasets, algorithms, computer programs, mathematics, statistics, and economics. With a strong focus on practical classes across the Faculty of Electronics, Telecommunications and Informatics and Faculty of Management and Economics, you'll graduate as a ready-to-work expert for IT and business teams—not just a theorist.

This means real-world prep from day one: access to top-notch labs, digital platforms, and project-based learning tailored to data handling and analysis.

Here's what sets our experiential learning apart for this program:
- State-of-the-art laboratories in the Faculty of Electronics, Telecommunications and Informatics for hands-on work with data processing, algorithms, and IT systems, building skills in interpreting vast information from multiple sources.
- Digital Technologies Center supporting advanced research in technical informatics, telecommunications, and information tech—perfect for data engineering projects involving distributed systems and AI applications.
- Project-oriented approaches like CDIO (Conceive-Design-Implement-Operate) integrated into the curriculum, where you'll tackle real engineering challenges in teams, including development work for IT, banking, and finance.
- My GUT platform (link.pg.edu.pl/enauczanie-en) for online learning materials, collaborative tools, and course access, plus free campus-wide Wi-Fi (eduroam) to collaborate on data projects anytime.
- Main Library and faculty-specific resources, including the Information Centre, digital databases, and e-textbooks accessible on- and off-campus—ideal for researching stats, economics, and data tools.
- Faculty labs and research teams where students join professional projects in electronics, informatics, and management, gaining experience with specialized software for data analysis and business applications.

Imagine applying to a program that equips you like this—spots fill fast, so let's get your application started today. Check the full facilities list here: [pg.edu.pl/en/facilities](https://pg.edu.pl/en/facilities).