Overview

The Communication and Information Technology (Master of Science) program at Ulm University offers a rigorous academic pathway for students pursuing a Master in Engineering Sciences. Conducted primarily in English, this curriculum is designed to provide deep theoretical insights and practical expertise. The program spans 4 semesters. Regarding financial requirements, the tuition fee is approximately €1,500. The Communication and Information Technology degree programme offers specialisations in four tracks, Communications Circuits and Systems , Sensor Circuits and Systems, Communications Engineering and Intelligent Systems . The specialisations offer a strong foundation in integrated mixed-signal and RF circuits, RF engineering and radar design, wireless communication, signal processing, optical communication devices, and machine learning. Those whose main interest is modern digital communication methods, such as coding, networking or advanced modulation techniques, will choose the Communications Engineering specialisation. In accordance with the research specialisation of the Electrical Engineering Faculty at the University of Ulm, mobile communication methods and systems are strongly emphasised. Students interested in the underlying hardware aspects, such as microwave/millimetre-wave engineering, microelectronics and optoelectronic devices, will opt for the Communications Circuits and Systems specialisation, in which the emphasis is on the hardware aspects of modern communication systems. The excellent infrastructure in millimetre waves and microfabrication offers a unique combination of theoretical instruction with hands-on laboratory experience. Students with a focus on integrated circuit and sensor design can opt for the specialisation in Sensor Circuits and Systems , in which mixed-signal and RF integrated circuits, mm-wave engineering, integrated sensors and sensor interfaces will be taught. Software-oriented students with a background and interest in information system technology or computer engineering can specialise in Intelligent Systems . In this track, machine learning, pattern recognition, and secure system engineering are the focus. For specific admission criteria or document checklists, please refer to the institution for exact details.

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