The Master's programme is divided into three parts:
The first semester builds upon previous Bachelor's studies, creates a common knowledge base, and starts developing areas of expertise and specialisation. First semester modules comprise foundational courses in business analytics, data warehousing, decision-making, and business process management.
The modules in the second semester take the topics of the first semester further. Students apply learned theories in projects of their choice (analytics lab & process lab) and gain advanced skills in analysing, designing, and implementing business information systems. In addition to projects, the second semester provides a specialised module in IT architectures for big data, and one elective from a range of Master's subjects may be chosen.
The third semester is scheduled for completing the degree by submitting a dissertation and defending it in an oral exam. During the third semester, a research methodology seminar is provided to support the work on the dissertation.
For students who do an internship in their third semester, the Master's thesis is postponed to the fourth semester.
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