FAU Erlangen-Nürnberg

Advanced Signal Processing and Communications Engineering

M.Sc. (Master of Science)
Subjects: Electrical Engineering, Information Engineering, Communications Systems Engineering and Technology
English only
Winter semester: 15 Apr
Application Deadlines
2 Years (starting: Winter semester)
Tuition Fees (per semester)
Winter semester
Mode of admission:
local admission restriction
directly at the University
Study mode:
On campus

Program Video

Five Reasons to choose this Master's Program

Gain advanced specialist training in signal processing and communications engineering
Over the course of this master’s program, students learn the vital concepts of information theory, coding, statistical signal processing, machine learning, optimization, and game theory.
Great career chances in top organizations
The reputation of the Faculty of Engineering and its proximity to important institutions in the areas of audio, multimedia, communications, and medical systems give graduates from this master’s program great opportunities to work in top managerial positions at organizations such as Siemens, Alcatel-Lucent, INTEL, Qualcomm, Continental, or Dolby, among others. Students can also choose to continue their academic career with a Ph.D.
Study at a top faculty surrounded by world-renowned institutions
The Faculty of Engineering of FAU Erlangen-Nürnberg and the Fraunhofer Institute for Integrated Circuits IIS created the Audio Laboratories Erlangen, a unique institution where top engineers conduct research and develop the audio and multimedia technologies of the future.
Be part of the Elite Network of Bavaria
This master’s program is part of the “Elitenetzwerk Bayern” (Elite Network of Bavaria), an initiative of the State of Bavaria that supports gifted young students.
Work as a research assistant during your studies
During the first year of studies, students are guaranteed a research assistantship and are able to gain hands-on research experience while covering part of their cost of living. Jobs offered include preparing lecture materials, assistance in lab courses, and implementation of algorithms, among others.

How do you want to continue?

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