Study Programmes Master

Intelligent Interactive Systems

as of WS 2023/24

The Master IISY has been developed and restructured according to the experiences and recommendations of our students, lecturers, and an external advisory board. These changes are expected to take effect from the winter semester of 2023/24!

The thematic orientation will remain the same and all previous content will still be available for study. At the same time, the program profile will be extended by a focus on "Interactive Systems" to take into account recent developments towards modern intelligent systems that interact autonomously with their environment. This is reflected in the new title of the program, "Intelligent Interactive Systems" (I²SY). In the course of the revision, the structure of the program has been simplified and improved. The most important changes are as follows:

1. The Master I²SY will be structured into three thematic blocks (cf. diagram): Interaction Technology, Artificial Intelligence & Machine Learning, and Autonomous Systems Engineering.
2. Modules of three different types are offered in each block: In the 1st semester, basic competencies can be acquired in Basics modules. Students can seek advice from the module coordinators or the program coordinator. In the 2nd and 3rd semesters, specialization takes place through advanced modules (theoretical-methodical contents) and applied modules (practical-applied competencies). Both module types can be studied in each thematic block either as standard (5 LP) or in-depth (10 LP).
3. In the first and second semesters, students are required to take courses from the Scientific Research Methods (SRM) module, which conveys the techniques of scientific work necessary for successful preparation of the Master's thesis.
4. Students can choose from a variety of courses offered in the respective block for the corresponding module types (basic/advanced/applied).

Prerequisites for admission to the Master Intelligent Interactive Systems

Prerequisite for admission is a bachelor’s degree grade of at least 3.0. In order to apply successfully, the following knowledge is also required:

• Knowledge and skills in foundations of computer science (e.g. algorithms, data structures, theoretical or technical computer science, computer architectures) to the extent of 30 ECTS or an equivalent total workload.
• Knowledge and skills in mathematics (e.g. analysis, linear algebra, stochastics) amounting to 10 ECTS or an equivalent total workload.
• Knowledge and skills in basic technical methods for the development of intelligent systems.(e.g. machine learning, artificial intelligence, pattern recognition, robotics, image/language processing, human-machine interaction) to the extent of 30 ETCS or an equivalent total workload. Alternatively, knowledge and skills in interdisciplinary foundations of intelligent or interactive systems (e.g. from psychology, neurobiology, linguistics, philosophy) can be credited to the extent of up to 10 ETCS or a corresponding total workload.
• A further condition for admission to the MSc. "Intelligent Interactive Systems" is language competency in English at a proficiency level of B2 (CEFR) or higher. This corresponds to TOEFL 72+ points, IELTS 5.5+, or Cambridge First Certificate (CFE). The regular German high-school diploma (Abitur) qualifies for this too.

The applicants need to provide a list of courses passed successfully with the ECTS (or the overall workload for each course) in each of the three areas.