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: 22

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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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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Integrated Sustainable Management of Production Systems (CM_IntSust)

Companies are increasingly interested in conducting their activities so that a long-term future is assured for its business, society and environment. The purpose of this class is to deal with the well-recognized but sometimes vague concept of sustainability from an engineering perspective. The module is meant to introduce students to the implementation of sustainable management in industries and provide them with…

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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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Smart services (CM_SmartSer)

 

Smart Service Design and Engineering - Value Creation:

  • Basics of Smart Service Design (Customer insight, customer journey, value proposition design, use of data insights)
  • Selected topics of Service Science and Service Dominant Logic
  • Service blueprinting as a relevant step in the service engineering process
  • Characteristics of Data Services and Data Products
  • Use of data in the smart service design process and in…

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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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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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Lifecycle Management of Infrastructures (FTP_Life)

In this module, students are introduced into basic concepts of lifecycle management of infrastructures with respect to costs vs benefit. Established cost and benefit models of infrastructures are discussed. Based on lifecycle costs analysis, we introduce different methods for the assessment of maintenance strategies, and for decision making with respect to construction, preservation, and replacement. The cost-based…

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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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Ordinary Differential Equations and Dynamical Systems (FTP_OrdDiff)

In this module, students learn which class of dynamical phenomena can be described with systems of ordinary differential equations. They learn to recognize the fundamental behavior patterns of these systems and also to develop simulation models for them.

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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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Business Analytics (TSM_BusAn)

Business Analytics (BA) is the science of analyzing enterprise data with statistical methods. The aim is to better understand market, customers, internal processes and the competitive environment, allowing for better and more informed decisions in business. As such, BA goes well beyond simply presenting data, numbers and tables, but focuses on finding new patterns, explaining the occurrence of results and forecasting…

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Factory Planning (TSM_FactPlan)

The course will describe Production Systems Configuration and Management as well as the drivers influencing the choice of a given layout and the rules adopted for managing it. Various typical layouts will be described also highlighting their benefits and pitfalls, while eliciting the characteristics of the manufacturing environments justifying their choice. Well known Production Planning & Control (PPC) methods will…

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Novel Innovation and Design Principles (TSM_InnoDes)

NOVEL INNOVATION & DESIGN PRINCIPLES. In order to keep generating competitive advantage through innovation, both manufacturing and service industries are in need to apply novel innovation and design principles. This module will focus on reuniting the study and practice of entrepreneurship and innovation. It takes a process-oriented view of agile Innovation.
First it starts with recognizing the opportunity and…

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International Logistics (TSM_Logistic)

The module starting from the analysis of the whole Supply Chain configuration and management process, underlines in particular the greater importance role that logistics and procurement are assuming in modern collaborative Supply Chain. Procurement is a strategic business driver that allows companies to efficiently focus on their key competences and activities while leveraging competences and cost advantage stemming…

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Market Analysis and Forecasting (TSM_MarkFor)

A proper understanding of the current state and probable future development of a market is key to any successful business development. The module Market Analysis and Forecasting provides the foundations of analysis of complex socio-economic systems. It puts students in place to autonomously plan, design and execute their own qualitative and quantitative analysis. Development of well-founded forecasts and scenarios…

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Service Operations and Management (TSM_OpMgmt)

In all developed economies, the service sector is the dominant economic sector. Its importance is still growing. In particular new services based on new technologies such as mobile and internet-based technologies are changing our world at a breathtaking pace. The goal of this module is to make students familiar with some of the main concepts of modern services.

The module focuses on service science and strategic…

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Product Innovation and Product Lifecycle Management (TSM_Product)

Students become acquainted with the product innovation process and its strategic importance for enterprises. They recognize the relationship between the product innovation process and the product development process. Students will get to know and train typical methods of both processes and will gain deeper knowledge of the subject by doing “hands-on”-project work.

In Product Lifecycle Management (PLM), product…

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Quantitative Methods in Industrial Operations Management (TSM_QInOpMgmt)

Operations management is concerned with the design, operation and optimization of the value-adding areas of a company.
At the strategic level it includes in particular the design of infrastructure and resources, the dimensioning of capacity and the
definition of business processes. At an operational level, it includes ongoing planning and control of operational activities. The
aim is to achieve high business…

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Servitization of Manufacturing (TSM_ServMan)

This module will help students to understand how a manufacturer changes its business model to provide a holistic solution to the customer, helping the customer to improve its competitiveness, rather than just engaging the sale of product.  Much of the course is based around the transition from pure products to provide product service systems in basic and advanced forms.

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