Programme in detail

The Signals & Systems programme is divided in eight quarters. At the end of each quarter students carry out exams. In the first year you will spend more time on core courses, relevant to the track you have chosen.  The Common core consist of two compulsory courses called “Introduction to Electrical Engineering” and “Systems Engineering” as well as 7 fundamental courses on topics such as electromagnetics, networking, signal processing and computing systems. You have to select at least 3 of these fundamentals.

The next tier of the programme is the track core, which contains fundamental courses for your specialisation track, such as Estimation and Detection, Information Theory, Wireless Communications, Wavefield Imaging, Applied Convex Optimization, Microwave, Radar & Remote Sensing. In this tier, you have to select at least 3 courses.

The third tier contains the specialization courses, which enable a deep specialisation for the optimal execution of your thesis project. The free electives allow technical and non-technical courses, also from other faculties and universities, such as entrepreneurship, language and additional presentation courses, an internship or participation in an exchange program.

First Year (60 EC)
1st quarter 2nd quarter 3rd quarter 4th quarter
Profile Orientation & Academic SkillsSystems Engineering
Core courses
(common core & track specific core)
Core courses Core courses Core courses
Specialisation coursesSpecialisation courses
Specialisation coursesSpecialisation coursesFree elective coursesFree elective courses
Second Year (60 EC)
1st quarter 2nd quarter 3rd quarter 4th quarter
Specialisation coursesGraduation project (45 EC)
Free elective courses
Common Core (21 EC)
Introduction to Electrical Engineering3 EC
Systems Engineering3 EC
Choose 3 out of 7
Statistical Digital Signal Processing and Modeling5 EC
Control System Design5 EC
Electromagnetics5 EC
Networking5 EC
Advaced Computing Systems5 EC
Measurement and Instrumentation5 EC
Structured Electronic Design5 EC
Track Core ( max 15 EC)
Applied Convex Optimization 5 EC
Information Theory5 EC
Wavefield Imaging5 EC
Microwaves, Radar & Remote Sensing5 EC
Wireless Communications5 EC
Estimation and Detection5 EC
Specialisation courses (at least 24 EC)
Free Electives (15 EC)
Thesis Project (45 EC)

More information can be found at


Audio and Acoustic Signal Processing
Focuses on such topics as multimedia data compression, audio/speech processing, distributed signal processing, acoustic signal processing, distributed signal processing, acoustic signal processing, speech enhancement, sensor localization, pattern recognition and security. The research and coursework cover a broad scope of theory and algorithms in signal processing, information theory and cryptography.

Signal Processing for Communications
Focuses on such topics as statistical signal processing, array processing and distributed signal processing. It provides a wide range of computational tools and algorithms. Applications are related to wireless communications, underwater communication and sensor networks, as well as to large sensor arrays for radio astronomy and geophysics.

Biomedical Signal Processing
Focuses on signal processing for the acquisition, modelling, analysis and processing of biomedical signals. These can be natural signals from the body – as with signals measured in the heart or brain (EEG, ECG) – or multichannel signals from imaging systems (e.g. ultrasound, MRI or photo-acoustic imaging).

Signal Processing for Remote Sensing and Radar Systems
Focuses on microwave system design, analogue and digital processing of microwave signals, signal processing for typical remote sensing applications (antennaarray pattern synthesis; space-time adaptive signal processing in ultra-wideband arrays; detection and feature extraction; tracking and navigation; classification, and imaging) that are performed at either a single node or at a distributed sensing.

Systems and Control
Focuses on the development of mathematical models of complex dynamic systems, as well as on the use of these models to optimise/control their behaviour in feed-forward and feedback configurations. The strength of feedback control rests in its capacity for dealing with uncertainty. This makes it possible to design low-complexity controllers for achieving high performance in controlled complex systems.

The five specialisation profiles defined here are intended as guidelines. Students are free to compose their own specialisations by choosing from a list of courses, or choose one of the specialisations of the other Electrical Engineering Tracks.