Tracks

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. 

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. 

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.