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 
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.



Learning Objectives

The students realise that quality and risk management is an integral guiding process at enterprises that covers quality assurance as well as comprehensive product and system design, development, optimisation.

Quality management

  • The students know and understand the close relation of integral QRM in enterprises and organisations.
  • They understand that this concerns the change management on organisation level as well as on individual level of staff.
  • They know and understand the principles of how to use QM processes.
  • They are able to explain the characteristics of most relevant normative quality assurance models.
  • They know and understand the most relevant tools and Best Practices in usage, implementation and control of QM processes.
  • They understand the pre-conditions of how to achieve and assure a QM certification.

Risk management

  • The students know the most relevant national and international Best Practices and standards in risk management and risk engineering.
  • They know the most relevant risk assessment approaches, how to use them and to relate them into the context of operational risk management.
  • They understand the concept of integrated risk management: they know significant interfaces to other management processes as well as to the areas of environment, society and policy.
  • They are able to conduct exemplary case studies (with regard to risk identification, analysis and evaluation).
  • They are able to analyse similar problems, to develop solutions and to evaluate them.

Contents of Module

Quality Management QM

  • Introduction to Module QRM
  • Quality Management (Levels of QM, factors influencing quality, quality improvement, Deming circle, Concept and role of customer satisfaction “Kano Model”, Customer Experience Management)
  • Process Management System
  • Overview of, e.g., specified ISO Norms on QM, environment, safety corporate social responsibility (ISO 9001:2015, ISO 14001:2015, OHSAS 18001:2007, ISO 26000)
  • Total Quality Management TQM (Philosophy, connect to Deming)
  • Business Excellence (Excellence term, what it stands for, relation to EFQM Model)
  • EFQM1) Model (Fundamental concepts, criteria model, RADAR2)  Logic, implementation, innovation processes)
  • Quality 4.0
  • Synopsis (Review of main aspects in integrated quality management)

1): European Foundation for Quality Management; 2): Results, Approach, Deployment, Assessment, Refinement

Risk Management RM

  • Introduction of basic principles of risk management
  • Entrepreneurial RM policy (context, case studies)
  • Principles of risk assessment and risk engineering (basic concepts, definitions)
  • Risk identification: Fishbone Diagram, Bow Tie Analysis, Hazard and Operability Study (HAZOP), Failure Mode and Effects Analysis (FMEA)
  • Risk analysis (scenario analysis, basics of reliability analysis including fault tree analysis, event tree analysis)
  • Risk evaluation (risk matrix, Frequency/Consequence curves)
  • Synopsis (Review of main aspects in integrated risk management)

Teaching and Learning Methods

Frontal theoretical lessons
Practical excercises 
Case studies


ISO 9000, EFQM, ISO 31000:2018, ISO 31010:2019, ONR 49000ff:2014
Literature on QM und RM (electronically distributed).

Download full module description