Master Electrical Engineering (MSE)
The Master’s program in Electrical Engineering deepens your knowledge in key future-oriented fields of electrical engineering. You will benefit from the close connection between teaching and current research. Our faculty members collaborate on research projects with regional industry and actively involve students. This collaboration has already resulted in over 200 international patents and scientific publications. Upon graduation, you will have comprehensive qualifications and master the essential tools for developing modern sensors, actuators, and communication systems.
Program at a Glance
Degree
Master of Science in Engineering with Specialization in Electrical Engineering (90 ETCS)
Program Start
Spring semester: 22 February 2027
Autumn semester: 20 September 2027
Duration
3 semesters fulltime full-time or 5-6 semesters part-time
The degree program can be completed alongside professional employment.
Tuition
CHF 1,000 per semester
Campus
Rapperswil-Jona or Buchs: You select one of these locations for your area of specialization.
Zurich: Theory and Context Modules
Admission
Bachelor’s degree or equivalent in the field of Eletrical Engineering. Academic performance across the entire Bachelor’s program must correspond to an ECTS grade of A or B.
More Information on Admission
Accepted Bachelor's degrees:
BSc in Electrical Engineering
BSc in Electronic Engineering
Other recommended bachelor's degrees:
BSc Systems Engineering
Admission Deadline
Spring semester: 30. November 2026
Autumn semester: 30 April 2027
Advantages of MSE Electrical Engineering:
- In-depth electrical engineering expertise: On the MSE in Electrical Engineering, you will build on your knowledge in a targeted manner beyond the Bachelor’s level. You will study complex electrical engineering systems and learn how to develop and optimise them for real-world applications.
- Theory and practice are closely linked: The degree programme combines sound theoretical knowledge with a strong practical component. Through project work and your Master’s thesis, you will tackle specific issues and gain valuable experience for challenging roles in industry.
- Personalised in-depth study and a wide range of specialisations: You can tailor your degree programme to suit your interests. Possible specialisations range from embedded systems and microelectronics, through machine learning and computer vision, to power electronics, smart grids and high-frequency technology.
- Strong links with research and industry: During your studies, you will build up a wide network of contacts with fellow students, researchers, institutes and companies. You will also have the opportunity to work at institutes, giving you an early insight into research and industrial applications.
- Advisor support: During their Master’s programme, students receive individual support from an advisor, a professor in their chosen field. The advisor ensures that the students’ academic goals are achieved through the appropriate choice of modules.
Sensors and Microelectronics
In this specialisation, you will focus on the specification, development and testing of analogue and digital electronic circuits. During your studies, you will have the opportunity to explore the design of analogue and digital integrated circuits in greater depth, for example through the development of analogue ASICs or FPGAs/SoCs. You can also specialise in areas such as analogue signal processing, energy harvesting circuits and/or sensor systems within PCB-based circuit design.
Embedded Systems – Hard and Software
In the Embedded Systems specialisation, you will deepen your expertise in the design of modern computer systems. You will develop energy-efficient Internet of Things applications, real-time systems and signal processing systems using real-time operating systems. In doing so, you will work with microcontrollers, digital signal processors, graphics processing units and systems-on-a-chip. A key component is software development and the interaction between hardware and software. You will also gain knowledge of networked technologies and their security aspects.
Digital Signal and Image Processing
In this specialisation, you will work with discrete signals and systems and deal with both deterministic and stochastic time series. You will delve into topics such as sensor fusion and optimal filtering, utilising both classical techniques and modern self-learning methods from the field of machine learning. Another focus is on the analysis of image and video data.
System Dynamics and Control Engineering
In System Dynamics and Control Engineering, you will learn to model, identify, simulate and control complex technical systems. The aim is to specifically improve the performance of systems such as drive systems or MIMO processes. You will work with modern measurement technology, sensor fusion and advanced control methods such as model-based, robust or model-predictive control, as well as Kalman filters.
Communication and Information Systems
In this specialisation, you will study information theory, high-frequency electronics and antenna design. The focus is on the design of wireless transmission and reception systems. You will work with methods from signal processing, RF design and computational electromagnetics. Applications range from communication systems to radar and satellite navigation, right through to wireless power transfer. To this end, you will utilise a state-of-the-art high-frequency design and measurement infrastructure, including simulation tools and an antenna measurement chamber.