Advanced Signal Processing and Communications Engineering

In fu­ture, society will face signifi­cant chal­lenges consid­ering energy supply and ageing popula­tions while digitali­sation will contin­ue to progress into all areas of life. Devel­oping a society based on knowledge and innova­tion is essential to achiev­ing eco­nomic compet­itive­ness and sustain­able devel­opment. The purpose of ASC is to make a decisive contri­bution towards this objec­tive by provid­ing in­dividu­alized training to par­ticularly out­stand­ing stu­dents.

The Elite Graduate Program at a glance

DegreeMaster of Science
Duration of studyFour semesters
Place of studyErlangen
Admission requirementsBachelor’s degree in electrical engineering, communications engineering, computer science or closely related disciplines
Language of instructionEnglish
HeadProf. Dr.-Ing. Wolfgang Gerstacker
CoordinatorLena Borke-Weber
Contact the coordinator
Further informationWebsite Advanced Signal Processing and Communications Engineering

Shaping digital transition

The ASC Elite Gradu­ate Pro­gram ensures that gradu­ates have an ad­vanced level of personal devel­opment, in-depth knowledge of com­munica­tion and multi­media tech­nology, are able to em­ploy well-struc­tured academ­ic work meth­ods and have the core skills that will ensure they can be con­sidered as the ‘bright­est minds’ and ‘high poten­tials’ who merit ap­point­ment to execu­tive posts in business and science. ASC gradu­ates will advance techno­logical progress as dis­semina­tors in leader­ship posi­tions with manage­rial re­sponsi­bility in business and science and contrib­ute sus­tainably towards societal prosper­ity. Fur­ther­more, the qualifi­cation provid­ed by the ASC Elite Gradu­ate Pro­gram consti­tutes an out­stand­ing starting point for ac­quiring a subse­quent doctor­ate in the shortest time possi­ble.

Cyber physical systems will play a central role in the worlds of business and everyday life. Their task will be to log, evaluate and communicate information collected from the environment, in particular multimedia content. Data needs to be protected against interference and eaves­dropping to enable the transfer and distribution of even greater amounts of information. Massive multi-antenna technology and the latest progress in wireless communication are used for this purpose and subject to extensive research. Data evaluation will be fully automated by means of advanced machine learning algorithms. Students participating in the ASC Elite Graduate Program play an active role in all these future-orientated fields of research.

Individual Mentoring

Auf der breiten interdisziplinären Aus­rich­tung aufbauend sind diverse Spe­zi­a­li­sie­rungen möglich. Bei deren Wahl werden die Stu­den­tinnen und Stu­denten mit Blick auf ihre Interessen und Karriere­wünsche im Rahmen des Mentoren­pro­gramms beraten. Um die inter­nationale Aus­bil­dung zu ver­tie­fen, können sie darüber hinaus ihre For­schung­ser­geb­nis­se auf inter­natio­nalen Fach­kongressen präsentieren.

Porträtfoto: Prof. Dr. Ralf Müller

In dem forschungsorientierten Studiengang “Advanced Signal Processing and Communications” erwerben die Studierenden durch individualisierte Förderung zentrale Kompetenzen in den Bereichen der Informationstechnik und des maschinellen Lernens.

Prof. Dr. Ralf Müller

Snippets of the program

Practicing for higher goals

At the ASC Forum, students can practice how best to present their research at international conferences.

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Preisträger Teena tom Dieck und Marc Hölle mit den drei Jury-Mitgliedern Prof. Ralf Müller (FAU-IDC), Prof. Georg Fischer (FAU-LTE) und Prof. Wolfgang Gerstacker (FAU-IDC)

ASC Kick-Off. Let’s get it started!

The kick-off seminar of the elite Master's programme ASC enables the new students to get in touch with each other and with their future professors.

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Studenten im Gespräch mit Professoren beim „“Speed-Dating im Rahmen des ASC Kick-Off 2023.

Snippets of the research

Biological Intelligence

Annika Briegleb investigated data analysis methods for neuroscientific data sets as part of a research project at the University of Yale, USA.

Molecular Communication

Jan-Lucas Deinhard investigates possibilities of applying modern methods from machine learning to problems in the field of molecular communication.

Prediction of Odour (PrOdour) – Data Exploration

Would it be possible to make conclusions about the smell of a substance from the structural formula of the molecule?