Curriculum

The amount of data that individuals and organizations possess and analyze is increasing at an exponential rate. In this path, you will learn methods and algorithms for organizations to collect, clean, summarize, analyze, and visualize these data in order to derive actionable insights.

Typical courses in this path include data science & society, data-intensive systems, natural language generation, meaningful data interaction, and knowledge and data engineering.

Software systems are becoming increasingly complex, and terms such as software crisis and software apocalypse are often used to refer to how software could become hard for humans to design, control, and use. In this path, you will learn state-of-the-art methods, techniques, and tools for the construction of software products with a robust design that are easier to maintain and evolve.

Typical courses in this path include requirements engineering, software architecture, and software production, and software ecosystems. 

Commercial, governmental, and non-profit organizations are driven by business processes. It is possible to define processes describing how employees should work. These processes can be enacted by workflow engines, and processes can also be discovered automatically from logs. In this path, you will learn how to manage business processes, how to design them, how to discover them, and how to embed them into organizations.

Typical courses include business process management, process mining, and digital transformation and architecture.

To expand the thematic range of your master's programme, under specific conditions, you can replace 30 EC of the regular programme with a specific profile.

A maximum of three courses of 7.5 EC, to be chosen more liberally from other programmes, to give your programme a personal profile. The choice of secondary electives is subject to approval by the Board of Examiners. 

Approval will be automatically granted for courses from the list below (no student request required):

• Any of the remaining primary electives in the Business Informatics programme;
• Any of the 7.5 EC mandatory courses and primary electives from the programmes Human Computer Interaction, Computing Science, Game and Media Technology, Data Science and Artificial Intelligence. Please note that for electives from Data Science and Artificial Intelligence you need to check if you meet the prerequisites and have enough prior knowledge. In order to check, please contact the MBI coordinator (mbi-coordination@uu.nl) and the concerning course contact;
• Capita Selecta (INFOCSM): 7.5 EC. A Capita Selecta is not a standard course option and needs to be agreed to by a supervisor before admission to the course;
• A deficiency course (if assigned as a requirement).

Other master courses, within or outside the UU, that contribute towards the aim of the programme, can be approved by the Board of Examiners upon request of the student.  In their decision, the board will take into account the advice of the programme coordinator. Note that for courses outside the UU further conditions apply; see art. 3.7 of the main EER text.

Note that prescribed deficiency courses will be deducted from the credits available for secondary electives.