Study program

University

City 1

City 2

FAU Erlangen-Nürnberg

Advanced Signal Processing and Communications Engineering

M.Sc. (Master of Science)

Subjects: Electrical Engineering, Information Engineering, Communications Engineering and Technology

M.Sc.

Degree

English only

Language

Winter semester: 15 Mar/15 Jul

Application Deadlines

2 Years (starting: Winter semester)

Duration

Free

Tuition Fees (per semester)

Starting: Winter semester
Mode of admission:: local admission restriction
Application:: 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?

Go to course website

Course Description

The M.Sc. in Advanced Signal Processing and Communications Engineering is a unique and high-quality master’s program created to educate gifted students in the latest technologies in signal processing and communications engineering. As part of the Elite Network of Bavaria, students of this master’s program cooperate with top organizations in the fields of audio, multimedia, communications, and medical systems. Moreover, they take part in special events (kick-off seminar, winter school, summer school) throughout their studies and get meaningful support from professors as part of the mentoring program.

Target Groups

Curriculum

Study Mode

Career Prospects

The M.Sc. in Advanced Signal Processing and Communications Engineering is intended for holders of a first bachelor’s degree in

electrical engineering
communications
engineering
computer science, or
closely related disciplines

interested in advancing their qualifications and career opportunities in the fields of advanced signal processing and communications engineering.

Special Program Features

Take part in the kick-off seminar

Students of this master’s program have the opportunity to participate in the kick-off seminar before the winter semester starts in order to get introductory information about their studies and life at the university.

Participate in the winter school program to improve your soft skills

During the winter school program, students get training in soft skills, project management, and business development, among others.

Improve your research skills during the summer school program

The third big event of this master’s program is the summer school during the third semester, training students in research while they work on scientific projects as part of a team.

Benefit from the support of the mentoring program

All students can freely choose at least one supervising professor as a mentor that will guide them on how to identify their interests and goals in order to organize a personalized study program.

Partner Universities

Czech Technical University in Prague

Prague

City

6 months

Duration

Contact via

More Info

University of Bristol

Bristol

City

6 months

Duration

Contact via

More Info

Riga Technical University

Riga

City

6 months

Duration

Contact via

More Info

All Partner Universities

Around the world

City

6 months

Duration

Contact via

More Info

Accreditations

AQAS

The “Agency for Quality Assurance through Accreditation of Study Programs” is a German non-profit association that is authorized to conduct external evaluation procedures for universities in Germany and Europe.

Requirements

Qualification Requirements

The application requirements for the study program in “Advanced Signal Processing and Communications Engineering” are:

Bachelor's (Undergraduate) Degree

Previous bachelor’s degree (or equivalent) in:

Electrical Engineering

Communications

Engineering

Computer Science, or

Closely related disciplines

Min ECTS points required:

180

Students must have previous knowledge in:

Engineering math: linear algebra, complex analysis, linear differential equations, Fourier transform, Laplace transform, z-transform
Signals and Systems (as covered in textbooks such as Oppenheim and Wilsky’s Signals and Systems)
Communications (as covered in textbooks such as Haykin’s Communication Systems)
Stochastic Signals (as covered in textbooks such as Pillai and Papoulis’ Probability, Random Variables, and Stochastic Processes)
Minimum knowledge in Digital Signal Processing (as covered in textbooks such as Oppenheim and Schafer’s Discrete-Time Signal Processing, 3rd edition, Prentice Hall, 2013.
Software: MATLAB or Python

Language Requirements

The following certificates are recognised as proof of your language proficience.

English

TOEFL CBT

min 210

TOEFL iBT

min 80

TOEFL pBT

min 547

IELTS

min 5.5

CEFR English

min B2

UNIcert

min II

TOEIC

min 785

Cambridge

min B2 First (FCE)

Cambridge

min C1 Business Higher (BEC Higher)

LCCI Certificates

min Level 2 grades “Merit” and “Distinction” + Level 3 grades “Pass”

Does the university recognize "other equivalent language certificates"?

yes

Additional information:

Medium of Instructions Certificate with a score of 540 can also be provided as proof of English proficiency.

Application & Admission

Application Deadlines

Locked

For Candidates with Previous Degree from

Winter Semester
(starting in October)

Germany

Winter Semester: -

Another EU Country

Winter Semester: -

Rest of the world

Winter Semester: -

Application Procedure & Selection

Mode of Admission:

local admission restriction

Admission Test/Interview:

interview

Application:

directly at the University

Application Fee:

none

Application Documents

Online Application Form

Send all of the required forms and the following documents as scanned copies by email to [email protected]

More Info

Curriculum vitae including a passport picture (necessary for identification in online interviews)

School-Leaving Certificate

Certified English or German version

First University-Level Degree Copy

Certified English or German version

Transcript of Records

Certified English or German version

English Language Certificate → Language Requirements

Graduate Record Examination (GRE)

Letter of Recommendation

From up to two previous academic instructors who know you well

APS

For applications from China

Location

FAU Erlangen-Nürnberg

the University has other campuses --> Tab "University"

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Further Information

Your Personal Contact

Joanna Kudanowska

Degree Program Coordinator

Cauerstr. 7
91058 Erlangen, Germany

Contact Details:
+49 9131 85-27155
[email protected]

Information Package

Get further information with one click!

Get your copy of the flyer of the M.Sc. in Advanced Signal Processing and Communications Engineering today!

For registered users only.

For more information please check the

Course Website