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Informatics and Econometrics

Informatics and Econometrics at University of Gdańsk in Gdańsk, Poland, is an English-taught M.Sc. with a Digital Transformation focus. The two-year course links data analytics, business intelligence, information systems and management. Review the requirements and study fit.

Program at a Glance

Informatics and Econometrics at University of Gdańsk is an English-taught M.Sc. in Gdańsk, Poland, built around the Digital Transformation specialization. The full-time, four-semester program connects data analysis, information systems, business intelligence, and management, with practitioner-led study and a mandatory 200-hour internship for international students exploring business informatics and digital change. It offers a focused route into contemporary organizational technology decisions.
Key Criteria
Program Insights
Program overview
Informatics and Econometrics at University of Gdańsk is a two-year M.Sc. taught in English in Gdańsk, Poland. Its Digital Transformation specialization combines data-focused study, information systems, and management, with practitioner subjects and a mandatory internship.
What you will focus on
Study focuses on business intelligence, data management and visualization, human-computer interaction, time-series analytics, IT project work, DevOps, microservices, enterprise systems, business process management, cybersecurity, and Big Data within the Digital Transformation specialization.
Who this program may suit
This master's may suit graduates from a relevant field who want to connect analytical methods with management and digital change. Students should be ready for English-medium study at B2 level, data-focused coursework, practitioner-led subjects, and the program's 200-hour internship. and applied organizational problem-solving.
Study level & format
The course is a full-time, English-taught Master of Science delivered over four semesters, or two years, in Gdańsk, Poland. It follows an October intake and includes the Digital Transformation specialization.
Cost overview
Tuition is listed at EUR 1,605 per semester for non-EU students and EUR 1,110 per semester for EU students. The recruitment fee is 85 PLN per course of study. Payment method and installment availability should be checked on the official program page.
Admission fit
Applicants are expected to hold a relevant prior degree with a GPA of 70% or higher and demonstrate English at B2 level through accepted proof or an applicable previous-education exemption. Foreign qualifications may require legalisation, recognition, translations, and document review. No separate entrance exam is listed.
Before you apply
Before considering this option, review the relevant-degree and 70% GPA criterion, B2 English proof, diploma recognition, translations, and document deadlines. The recorded 2026 registration window has closed, so students should confirm the next intake schedule and current instructions on the official university page. before making any study plan.
Recommended next step
Compare this M.Sc. with similar business informatics and data analytics programs, then use the StudyFits AI Advisor to review how your degree background, English level, budget, study goals, and preference for Gdańsk align with the program.

Program Overview

Informatics and Econometrics at University of Gdańsk is a full-time, English-taught M.Sc. in Gdańsk, Poland. Delivered over four semesters, it centres on the Digital Transformation specialization and connects quantitative analysis with information systems and management. International students considering a master’s in business informatics can use this structure to explore how data supports organizational change and how analytical evidence informs planning across modern organizations.

The course combines academic and practical perspectives through practitioner-led subjects, master’s seminars, and a mandatory 200-hour internship. Its focus includes business intelligence, enterprise systems, project work, and digital operations without treating these areas as separate programs. Students should compare the official curriculum, current intake details, and their own analytical and management interests before deciding whether to explore this option further.

What You Will Study

Study begins with the relationship between data, information systems, and managerial decision-making. The Digital Transformation specialization covers business intelligence, data management and visualization, human-computer interaction, time-series analytics, and IT project and portfolio management. These areas can help students understand how organizations plan, assess, and implement digital change while balancing technical options with business needs and evidence.

Further topics include DevOps, microservices, CRM and ERP systems, business process management, organizational cybersecurity, and Big Data. Practitioner-led subjects, master’s seminars, and the required 200-hour internship add applied context to the academic structure. This combination keeps the focus broad while connecting each topic to organizational use. Students interested in an English-taught informatics and econometrics degree should review the official curriculum for the latest course sequence and specialization details.

Who This Program May Suit

This master’s may suit graduates from a relevant field who want to combine analytical thinking with management and digital transformation. It can be relevant for students interested in business intelligence, data visualization, enterprise systems, process design, IT projects, or cybersecurity, and who prefer a full-time English-taught course in Poland with both academic and practical elements.

Applicants should be comfortable with data-focused study, structured problem-solving, and collaboration across technical and organizational topics. B2 English readiness, a relevant prior degree, and the recorded GPA threshold are important fit points. The mandatory internship also makes an organized approach to workplace learning important. Before choosing the course, students can compare their academic background, learning style, budget, and future goals with similar business informatics and data analytics programs.

Admission Fit & Requirements

Admission fit depends on a relevant previous degree and the recorded expectation of a GPA of 70% or higher. Foreign diploma holders may need apostille or legalisation, a transcript, sworn translations, and a NAWA recognition statement unless an exemption applies. The university also requires the relevant document set, with originals submitted according to its published timeline, so eligibility should be checked against the applicant’s qualification.

English readiness must reach at least B2 and normally be shown through accepted official proof. A previous-education exemption may apply to specified diploma and citizenship categories, but it should be confirmed for each applicant. No separate entrance exam is currently listed. The StudyFits AI Advisor can help students compare their degree background, language proof, and documents with the stated requirements before they review the latest university rules.

Tuition Fees & Cost Signal

Tuition for this informatics and econometrics master’s is listed at EUR 1,605 per semester for non-EU students and EUR 1,110 per semester for EU students. This corresponds to EUR 3,210 and EUR 2,220 per year respectively, based on two semesters. The available details do not publish a payment method or installment option, so these practical terms require confirmation.

A separate recruitment fee of 85 PLN applies per course of study. No program-specific scholarship is published, although eligible students may review official NAWA opportunities and statutory support after enrollment. Because fee schedules and support rules can change, students should confirm the current amounts on the official program page and compare the total cost signal with similar options through the StudyFits AI Advisor.

Career Paths & Future Options

The Digital Transformation pathway may support future directions connected with business intelligence, data analysis, business process work, digital transformation consulting, enterprise systems, and IT project coordination. Its study of data visualization, time-series analytics, CRM and ERP tools, DevOps, and cybersecurity gives students several skill-based areas to compare with their career interests and identify which capabilities they want to develop most.

The curriculum’s practitioner subjects, master’s seminars, and mandatory 200-hour internship can provide applied context, but they do not guarantee a particular role or employment outcome. Graduates may also consider further study involving information systems, econometrics, management, or data-focused research. Students should compare these possibilities with their experience and long-term goals using the StudyFits AI Advisor and the university’s current curriculum.

Study Location Advantage

Studying this English-taught M.Sc. in Gdańsk, Poland, places students at a public university while they explore data, information systems, and management. The location can matter for international students comparing a full-time campus experience with other Polish study destinations, especially when considering language environment, travel plans, and the practical demands of a two-year course. A campus-based format also requires realistic planning for daily study and participation.

The city context should be assessed alongside tuition, housing plans, and personal study preferences rather than treated as a career promise. Students can compare Gdańsk with other locations offering business informatics or data analytics programs, then use the StudyFits AI Advisor to review how destination, budget, academic fit, and future goals work together in practice.

Compare This Program With AI Advisor

Before choosing Informatics and Econometrics at University of Gdańsk, students can use the StudyFits AI Advisor to compare it with other English-taught master’s programs in data analytics, business informatics, or management. The comparison can consider a relevant prior degree, the 70% GPA criterion, B2 English, the Digital Transformation focus, full-time format, and four-semester duration.

A profile-based review can also place the EU or non-EU tuition level, Gdańsk as a destination, document recognition, and future study goals in context. This does not estimate admission chances, but it can help students identify questions to confirm on the official program page or through the enquiry form.

FAQ

Q: What does Informatics and Econometrics at University of Gdańsk cover?
A: The English-taught M.Sc. connects data analysis, information systems, and management through the Digital Transformation specialization. Topics include business intelligence, visualization, enterprise systems, project work, DevOps, process management, cybersecurity, and Big Data, supported by practitioner subjects and a mandatory internship.

Q: Who may suit this English-taught master’s in Gdańsk?
A: It may suit graduates from a relevant field who enjoy analytical problem-solving and want to understand digital change in organizations. Students should be ready for B2 English, data-focused study, management topics, a full-time format, and the recorded academic eligibility criteria.

Q: What are the main admission fit points?
A: Applicants are expected to hold a relevant prior degree with a GPA of 70% or higher and accepted B2 English proof. Foreign qualifications may also require legalisation, translations, and recognition. Students should confirm any exemption and the latest document timeline with the university.

Q: How much is Informatics and Econometrics tuition?
A: Tuition is listed at EUR 1,605 per semester for non-EU students and EUR 1,110 per semester for EU students. A separate 85 PLN recruitment fee applies. Students should check the official program page for current amounts, payment methods, and any updated conditions.

Q: How can the StudyFits AI Advisor compare this program?
A: The AI Advisor can compare academic background, English readiness, tuition, location, duration, and digital transformation interests with similar master’s options. It can help students frame questions about profile fit and next steps without estimating admission, scholarship, visa, or career outcomes.

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