MSE Master of Science in Engineering

The Swiss engineering master's degree

Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories: 

  • 12-15 ECTS in technical scientific modules (TSM)
    TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules.
  • 9-12 ECTS in fundamental theoretical principles modules (FTP)
    FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation.
  • 6-9 ECTS in context modules (CM)
    CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.

In the module description (download pdf) you find the entire language information per module divided into the following categories:

  • instruction
  • documentation
  • examination 

Modules: 14

Academic Writing and Presenting (CM_AcWritPre)

The goal of this module is to help students to further develop their knowledge and skills in academic writing and presenting through the medium of English. Students will learn what it means to write advanced academic texts and to present them to an audience in an accurate, appropriate and convincing manner. The module is divided into a writing and a speaking part.

The writing part of the module focuses on key…

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Management of Complex Processes (CM_ComplPro)

One of the biggest challenges encountered in management is recognizing opportunities and making use of them while giving consideration to the associated risks. The constantly increasing dynamism and complexity of the environment in which companies and organizations operate is, however, making it difficult to take successful decisions. Multifactorial correlations, non-linearities, feedback effects and time lags make…

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Technology Management (CM_TechMgmt)

The module describes the practical and theoretical framework of Technology Management, and explains the lifecycle of technologies and the related methods in Technology Management. 

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Numerical Analysis and Computer Algebra (FTP_CompAlg)

After successful studying students are capable to solve selected practical mathematical problems by combining appropriate numerical methods with suitable computer algebra tools. Moreover, students know how to interprete and visualize computational outcomes resulting from numerical algorithms.

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Digital Image Processing (FTP_DigImPro)

The goal of this module is to teach the fundamentals of image processing, while putting emphasis on their mathematical and algorithmic principles. In addition, specific 2D and 3D industrial and biomedical applications will be treated.

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Machine Learning (FTP_MachLe)

Machine learning (ML) emerged out of artificial intelligence and computer science as the academic discipline concerned with “giving computers the ability to learn without being explicitly programmed” (A. Samuel, 1959). Today, it is the methodological driver behind the mega-trend of digitalization. ML experts are highly sought after in industry and academia alike.

This course builds upon basic knowledge in math,…

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Physics on micro and nano scale (FTP_PhyMNS)

The module “Physics on micro and nano scale” focuses on physical effects and their applications in photonics, electrical engineering, medical engineering and mechanical engineering which become relevant, when technical systems get miniaturized. In the first step of miniaturization - from macro to micro – the principal physics remains unchanged, but the dominant physical effects change due to a changed surface to…

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Advanced Control (TSM_AdvContr)

Model-based controller design is a key technology to control systems with complex dynamics. It was the enabling technology for many innovations in the last decade. In this module, the key elements of the development process are addressed: system identification, LQR/LQG-Controller design and controller implementation. Since there is always model uncertainty, the course ends with an introduction to robust controller…

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Advanced Electronic Design (TSM_AdvElDes)

This Advanced Electronic Design module gives to the students the key elements for the development of high performance electronic systems. These systems are characterized by:

  • a mixed-signal PCB (Printed Circuit Board)
  • the presence of sensitive analogue circuits and signals
  • the presence of complex and high-speed digital ICs (Integrated Circuits)

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Design of Embedded Hardware and Firmware (TSM_EmbHardw)

This module introduces the student to advanced concepts in modern embedded systems engineering. The module is divided into two sections. The first section is practical/theoretical and is designed to get the student familiar with implementing System on Chip (SoC) designs. The second part discusses formal Hardware/Software Co-Design including design and implementation of advanced embedded architectures as well as the…

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Embedded Real-time Software (TSM_EmbReal)

Embedded Systems, although they are not visible, they have become integral parts of this world. Embedded Systems essentially consist of two components, hardware and software. In contrast to information systems in the banking world, hardware is more application specific. Due to this fact, the software that interacts directly with the hardware is more specific as well.

Real-time and Concurrency are important issues in…

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Power Electronics Systems (TSM_PowElSys)

Building upon the students' fundamental knowledge in power electronics, this module covers current topics in the field of power electronics in greater depth. In the first part, the focus is on modern switched mode power conversion topologies, small signal modelling, control methods and the magnetic components. The second part looks into topologies, modulation schemes and control techniques for medium and high-power…

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Signal Processing and Transmission (TSM_SignProc)

The aim of this module is to provide insight into state-of-the-art methods of how to make a signal fit for transmission over a cable or over the air. It starts with some information-theoretic aspects, covers modern modulation formats, hardware used, and closes with an excursion into propagation mechanisms.

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Statistical Digital Signal Processing and Modeling (TSM_StatDig)

The goal of this module is to introduce the students to the powerful world of statistical digital signal processing. While at the bachelor level digital signal processing is most often taught with deterministic signals, in the real world most interesting signals are stochastic in nature. Hence in more advanced applications, such as prediction or noise removal, the theories presented in this module are essential.


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