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: 11

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 Changemanagement (CM_InnChang)

The module aims to explain the operational planning and management of innovations to students on the basis of an integrated innovation management model, as well as introducing them to the relevant concepts. This will enable students to establish links to various company-internal and company-external interfaces as part of innovation projects and to correctly interpret and influence these. In this module, students will…

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Applied Statistics and Data Analysis (FTP_AppStat)

Students are introduced to statistical tools used in the industrial sector, and particularly in process and quality control. In this module, students learn to plan and conduct statistical evaluations independently.

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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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Predictive Modelling (FTP_PredMod)

This course will provide an introductory review of the basic concepts of probability and statistics to understand probability distributions and to produce rigorous statistical analysis including estimation, hypothesis testing, and confidence intervals. Students will be introduced to the basic concepts of predictive modelling which by definition is the analysis of current and historical facts to make predictions about…

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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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Advanced aircraft system design (TSM_AdvAirDes)

The course will focus on the design of advanced aircraft systems, aiming towards more electric types of aircraft for a new generation beyond the Airbus A380 and Boeing 787.

Today, aircraft design is more than just aerodynamics, flight dynamics, propulsion, and structures. The new technologies require a systems engineering approach, which guides the way towards a sustainable aircraft.

The whole design process will be…

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Managing complexity and innovation in aviation (TSM_CompAvi)

Theory of complex systems and dynamics to understand challenges of markets and chances for new technologies, to identify niches for  innovation in aviation and to handle complexity.

Risk management and decision making under uncertainty: Dealing with dilemmata

Methods for simplifying and communicating complexity.

Enhancement of collaboration to unfold interdisciplinary potentials: Develop a culture of learning and…

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Modelling for aviation infrastructure and future mobility (TSM_ModAvi)

The course will focus on operational and infrastructure topics and the optimization of complex systems in terms of delay, capacity issues and future developments in aviation.  

Future developments and important upcoming topics in the airline industry will be addressed, such as unmanned aircraft systems, new approaches in business models or passenger operations.  

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Systems engineering of safety critical systems (TSM_SafeSys)

Safety-critical systems are those systems whose failure could result in loss of life. An aircraft such as an airliner has more than one safety critical systems.

The system engineering activities required to design and manage these complex systems over their life cycles require a deep understanding of several disciplines and a systematic approach to problems such as:

  • Requirements engineering
  • Requirement based testing

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