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: 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 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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Corporate Management and Entrepreneurship (CM_Entrepr)

In the module « Corporate Management and Entrepreneurship », students are enabled to evaluate business models. They learn the building blocks of a business modell and elements of sustainable management practices. Along the business model, relevant aspects from different fields such as strategy, marketing, finance and organization are relevant.

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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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Privacy and Law (CM_PrivLaw)

In the Privacy and Law module, students gain an awareness of the threats to privacy in the fast changing digital society and are prompted to reflect on values in the historical and intercultural context.
Students acquire an overview (system and reference knowledge) of actual legal aspects that have not been specifically covered in either the vocational baccalaureate or in the Bachelor's degree course. In the…

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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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Theoretical Computer Science (FTP_TheoComp)

The aim of this module is to deepen some basic theoretical aspects of computer science. The master students will learn that ...

  • formal languages and automata are essential concepts to describe different types of problems and computations;
  • Computability/decidability are central to explain that for…

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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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Wireless Communications (TSM_WireCom)

The module starts with the basics of the Physical and Data Link layers of advanced wireless systems.

Then the students will be exposed to the definition or functioning of a selection of the most important wireless standards at the present time. The focus will be on the physical layer and the medium-access layer.

Exercises will be used throughout the course to exemplify the use and application of the learnt material…

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