MSE Master of Science in Engineering

The Swiss engineering master's degree


Jedes Modul umfasst 3 ECTS. Sie wählen insgesamt 10 Module/30 ECTS in den folgenden Modulkategorien:

  • ​​​​12-15 ECTS in Technisch-wissenschaftlichen Modulen (TSM)
    TSM-Module vermitteln Ihnen profilspezifische Fachkompetenz und ergänzen die dezentralen Vertiefungsmodule.
  • 9-12 ECTS in Erweiterten theoretischen Grundlagen (FTP)
    FTP-Module behandeln theoretische Grundlagen wie die höhere Mathematik, Physik, Informationstheorie, Chemie usw. Sie erweitern Ihre abstrakte, wissenschaftliche Tiefe und tragen dazu bei, den für die Innovation wichtigen Bogen zwischen Abstraktion und Anwendung spannen zu können.
  • 6-9 ECTS in Kontextmodulen (CM)
    CM-Module vermitteln Ihnen Zusatzkompetenzen aus Bereichen wie Technologiemanagement, Betriebswirtschaft, Kommunikation, Projektmanagement, Patentrecht, Vertragsrecht usw.

In der Modulbeschreibung (siehe: Herunterladen der vollständigen Modulbeschreibung) finden Sie die kompletten Sprachangaben je Modul, unterteilt in die folgenden Kategorien:

  • Unterricht
  • Dokumentation
  • Prüfung

Modules: 26

Advanced Project Management (CM_AdvProjMgmt)

The goals of an organization can be efficiently pursued only through proper project management, as a mean able to consistently tackle their needs. Thus the role of the Project Manager become essential, as responsible to achieve the objectives, respecting the constraints determined by the project context. Modern Project Managers must have in-depth technical and management knowledge.
The course provides the students…

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Management komplexer Prozesse (CM_ComplPro)

Eine der grössten Herausforderungen im Management besteht darin, Chancen zu erkennen und unter Berücksichtigung der damit verbundenen Risiken wahrzunehmen. Die ständig zunehmende Dynamik und Komplexität im Umfeld von Unternehmen und Organisationen erschweren jedoch das Treffen von erfolgreichen Entscheidungen. Multifaktorielle Zusammenhänge, Nichtlinearitäten, Rück-koppelungen und Zeitverzögerungen machen es…

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Unternehmensführung und Entrepreneurship (CM_Entrepr)

In dem Modul Corporate Management und Entrepreneurship werden die Studierenden dazu befähigt, Unternehmen und deren Geschäftsmodelle beurteilen und bewerten zu können. Die Studierende kennen die wichtigen Bestandteile eines Geschäftsmodells und der nachhaltigen Unternehmensführung.
Entlang des Geschäftsmodells werden relevante Aspekte aus den Bereichen Strategie (interne und externe Analyse), Marketing, Finanzierung…

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Innovation and Lean (CM_InnoLEAN)

The course introduces the concepts of Lean innovation and lean thinking. It also foster a complex serious-gaming session where the students can develop their own factory and implement its innovation path. Indeed, the student will be able to devise and implement a production practice that considers to be waste the expenditure of resources for any goal other than the creation of value for the customer.

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Privatsphäre und Recht (CM_PrivLaw)

Das Modul Privacy and Law sensibilisiert die Studierenden für die rechtlichen Fragen in der sich rasant digitalisierenden Gesellschaft und regt zu Reflexion über Werte im historischen und interkulturellen Kontext an.
Die Studierenden erhalten einen praxisnahen Überblick (System- und Orientierungswissen) betreffend aktuellen Rechtsaspekten, welche weder im Bereich der Berufsmatura noch der Bachelorausbildung speziell…

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Quality and Risk Management (CM_QRM)

The CM_QRM addresses the most relevant basics in integrated quality and risk management. Theory is applied and specified by examples and case studies. The Module concentrates on current standards and best practices on quality and risk management and introduces the most established approaches.

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Advanced Algorithms and Data Structures (FTP_AdvAlgDS)

Algorithms are at the heart of every computer program. Informally, an algorithm is a procedure to solve a (computational) problem within a finite number of elementary steps. The same problem can be addressed with different algorithms, hence it is important to compare the different options in order to choose the best one. Experimental analysis is one way to perform such comparison, but it has several limits. The main…

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Algorithms (FTP_Alg)

This module introduces students with different categories of advanced algorithms and typical application areas.
In the first part of the module, the students will have a sound understanding of data structures and algorithms for efficiently handling either very large, complex or dynamic data sets or combinations thereof. They will be able to evaluate suitable algorithms and to apply them to typical tasks such as…

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Approximation algorithms (FTP_ApprAlg)

An algorithm is typically called efficient if its worst-case running time is polynomial in the size of the input. This course will focus on a huge and practically relevant family of problems, namely NP-hard ones, for which (most likely) no efficient algorithm exists. This family includes fundamental problems in computational biology, network design, systems, computer vision, data mining, online markets, etc.

The…

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Modelling Simulation and Optimisation (FTP_ModSim)

Modelling, simulation and optimization are fundamental to solving problems in a number of fields of science, technology and life. Students will learn to design, implement, simulate, and optimize a model of dynamic system. Simulation, the exploration of the dynamic behavior of the model in time and space, is discussed for both continuous and discrete-event systems. Simulating a model allows the evaluation of…

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Multi-agent systems (FTP_MultiASys)

Natural, social, and engineered complex systems can be modelled as being composed of agents interacting with one another and their environment. This course introduces students to the theory, tools and techniques for understanding and solving problems related to such systems. 

The course is composed of two parts. In the first one, both cooperative…

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Optimization (FTP_Optimiz)

This course offers an introduction to optimization, emphasizing basic methodologies and underlying mathematical structures. Optimization refers to the application of mathematical models and algorithms to decision making.  A large number of quantitative real-world problems can be formulated and solved in this general framework. Applications of optimization comprise, for instance, decision problems in production…

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Stochastic Modelling (FTP_StochMod)

The ubiquitous presence of uncertainty and noise in the engineering sciences makes it mandatory to understand and quantify random phenomena. To achieve this goal the course will provide a solid introduction to the theory of stochastic processes. Special attention is given to applications. The applications include examples from various fields such as communications and vision, signal processing and control, production…

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Theoretische Informatik (FTP_TheoComp)

Ziel dieses Moduls ist die Vertiefung einiger grundlegenden theoretischen Aspekte der Informatik. Die Master-Studierenden werden lernen, dass…

  • formale Sprachen und Automaten wesentliche Konzepte sind, um verschiedene Problematypen und Berechnungen zu beschreiben;
  • Berechenbarkeit/Entscheidbarkeit zentral sind, um erklären zu können, dass es für viele Probleme eine intuitive Lösung zu geben scheint, obwohl sie nicht…

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Advanced computer graphics (TSM_AdvCompG)

The goal of this course is to provide theoretical and practical insights on selected topics related to the algorithms and solutions adopted by modern real-time 3D Computer Graphics (CG) systems.

This class relies on in-depth, hands-on experiences with the implementation of recent GPU programming techniques for increasing the realism and performance of 3D rendering software to deal with complex synthetic images…

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Advanced Data Management – non standard database systems (TSM_AdvDataMgmt)

The Internet, new types of data and applications and new business requirements have driven the development of data management systems having data models and architectures beyond traditional relational and object-relational systems and centralised architectures.

The course covers the following core topics:

  • Distributed and parallel database systems architectures, internals and services such as transaction processing,…

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Advanced Programming Paradigms (TSM_AdvPrPa)

A wealth of fascinating technologies exists alongside the ubiquitous object-oriented programming and the inadequate testing methods. This module introduces students to the most relevant of these emerging technologies from a general programming-language point of view.

Paradigms Besides object-orientation as today's mainstream programming paradigm, other quite different paradigms have been developed and brought to…

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Cloud Computing (TSM_ClComp)

Lecture on advanced topics in the domain of Cloud Computing, more precisely covering use, operations, development of and for IaaS and PaaS, as well as developing applications natively for the cloud.

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DevOps of cloud-native applications (TSM_DevOps)

This course focus on software technologies, architectures, and methodologies for development of cloud-native applications.

 

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IT-Security (TSM_ITSec)

This module teaches two aspects of IT security. The first part deals with secure software, focusing on developing secure software and exploiting defects in software. The second part deals with several advanced security technologies, which includes authentication, access control, network security devices, and operating system security.

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Internet of Things (TSM_IoT)

This course covers all the topics related to the Internet of Things: from the sensors level to the higher layer of data rapresentation and manipulation. It is intended to give the student the technical knowledge and skills needed for building up an Internet of Things (IoT) system.

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Mobile Computing (TSM_MobCom)

This module enables students to develop advanced, native applications for the Android mobile operating system and get a solid understanding of mobile computing concepts. Building on the basics of mobile application development, this course covers a selection of application programming interfaces for on-board sensors and connectivity options for the integration with backend services, IoT platforms and peripheral…

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Parallel and distributed computing (TSM_ProgAlg)

The objective of this module is to present an overview of parallel and distributed computing and related algorithms. The first part of the course will be dedicated to the architectures of parallel and distributed  infrastructures, the different theoretical models for these architectures and the different programming models and tools for programming such architectures. The second part will be dedicated to the study of…

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Software Engineering and Architectures (TSM_SoftwEng)

The module provides an in-depth view of selected topics of modern software engineering. These stem from the fields: modern software development processes, software architecture, and the principles of evolution of software systems.

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Advanced User Interfaces (TSM_UseInf)

Graphical User Interfaces have long become standard UIs for computers, and mobile devices have not only adopted these GUIs but augmented them with multi-touch screens, speech in- and output, gesture and handwriting recognition as well as several additional sensors. This has fostered innovative ways of user interaction with the information available on these devices that were only seen in professional environments so…

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Drahtlose Kommunikation (TSM_WireCom)

Das Modul beginnt mit den Grundlagen der Bitübertragungs- und Verbindungsschicht von hoch entwickelten drahtlosen Kommunikationssystemen.
Anschliessend lernen die Studierenden die Definition oder die Funktionen einer Auswahl aus den heute wichtigsten Drahtlos-Standards kennen. Die Bitübertragungs- und die Medienzugriffssteuerungsschicht werden dabei den Schwerpunkt bilden.
Während des gesamten Kurses werden…

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