MSc Signals, Networking and Sensing
Discipline courses
The programme offers three complementary focus areas (called Disciplines): Signal Processing, Network Science, and Radar Systems. You can tailor your study path by combining these with real-world themes, allowing you to specialize while staying flexible.
Each Discipline consists of 4 courses (each 5 EC) which you select as a package. They are:
Signal Processing:
- EE4850 Estimation and Detection
- EE4530 Applied Convex Optimization
- EE4685 Bayesian Machine Learning
- EE4740 Sparse Signal Processing
Network Science:
- DSAIT4105 Probabilistic Models and Inference
- EE4530 Applied Convex Optimization
- EE4900 Telecommunication Networks
- EE4895 Network Resilience
Radar Systems:
- EE4845 Fundamentals of Radar and Applications
- EE4565 Propagation and Scattering of EM Waves
- EE4785 Sensor Signal Processing & Target Tracking
- EE4775 Object Classification with Radar
(You could always choose a course outside your package as part of your Custom course selection.)
Further, you choose in Q3 a topic within the EE4001-IC Interdisciplinary Challenge list of options. For SNS, we recommend
Beamforming Systems
| DSAIT4105 | Probabilistic models and inference | 0/4/0/0 | 5 EC | details | |||
| EE4530 | Applied convex optimization | 0/4/0/0 | 5 EC | details | |||
| EE4565 | Propagation and scattering of electromagnetic waves | 0/4/0/0 | 5 EC | details | |||
| EE4675 | Object classification with radar | 0/0/0/4 | 5 EC | details | |||
| EE4685 | Bayesian machine learning | 0/0/4/0 | 5 EC | details | |||
| EE4740 | Sparse signal processing | 0/0/4/0 | 5 EC | details | |||
| EE4845 | Fundamentals of radar and applications | 0/4/0/0 | 5 EC | details | |||
| EE4900 | Telecommunication networks | 0/0/4/0 | 5 EC | details | |||
| ET4386 | Estimation and detection | 0/4/0/0 | 5 EC | details |
Contact person
dr. Raj Thilak Rajan
Track coordinator