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Informatics and Econometrics, spec. Business Informatics - stacjonarne II stopnia

Informatics and Econometrics, spec. Business Informatics

Course
full-timeMaster's
BI
Academic year: 2024/2025

Faculty of Management

Description

Business informatics is an academic discipline appreciated in the academic world and in business that prepares graduates to perform modern IT professions so required in the modern business. It combines knowledge in the field of Computer Science and Business, dealing with IT systems, including mobile applications, in organizations. At present all modern business organizations are operating on the basis of information technologies, which creates an extremely wide area of employment opportunities for Business Informatics graduates, in the current Digital Economy era. In this context, ERP systems that comprehensively support business processes occupy a special place.
A characteristic feature of Business Informatics studies at the University of Gdańsk is their operation within SUA, i.e. SAP University Alliances. This means access to the SAP system software and use of the teaching resources of this consortium. Therefore, the program of these two-year studies, in each of the four semesters, includes subjects such as: Enterprise Resource Planning Systems, ERP in Financial Accounting, in Logistics, Controlling and Asset Management or Production Planning. The teaching method is dominated by laboratory work in self-organizing teams based on Agile methods, especially Scrum. Students also learn other soft skills useful in business communication. These subjects naturally combine IT and economic skills. The program will be implemented by domestic and foreign lecturers. Professional practice is planned for the third semester.
The main core of studies in the Business Informatics specialization is supported by acquiring knowledge and skills in modern IT solutions, such as Information systems modeling, Business processes architecture, Requirements engineering, Design of Human Computer Interaction, Business Intelligence Systems, Big Data Systems, Internet of Things, Smart Cities, Design Thinking, Cloud Computing, Innovative Business Models and elective lectures.

 

Acceptance criteria

Acceptance criterion: Diploma grade

Holders of bachelor or master diploma in any field are qualified to apply.

 

Student place limits

Necessary documents

Fees

Last modified: 2024, January 3 - 10:25am