Key learning outcomes
Understanding complex relationships and finding efficient solutions
Our students are challenged to
- create user-compatible interfaces between the man/woman and the machine
- integrate mobile applications into backoffice systems
- let various devices work together in an efficient and intelligent way
within an increasingly complex system landscape.
They acquire knowledge about artificial intelligence and learn modelling and simulation methods to develop algorithms and models for them to work together.
Our graduates develop
new systems and ideas and implement them.
To achieve that,
- they acquire specialised knowledge of the fundamentals in Computer Science and Mathematics and address the most recent developments and trends in Computer Science;
- they develop an understanding for the interaction between various intelligent components through various communication channels;
- they learn to work with the latest technologies and
- they obtain knowledge about the various types of human communication.
The development competency in the master's degree programme for Computer Science is focused on the needs of the domestic and international economy. Specialisation in a field takes place as part of the mandatory courses in the curriculum. The project Ubiquitous Computing in the 2nd and 3rd semester assumes a prominent place and teaches new concepts in practical use, also in direct connection with the economy.
