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 
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 performance through clever organization and efficient use of resources.
In a first part an overview of the classical themes of Operations Management is given. In a second part selected methods of
quantitative Operations Management (see Operations Research) are applied to tasks of important areas (see. contents below)
of Operations Management. These tasks will be analyzed and optimized with the help of mathematical models.


Linear Algebra:

  • Solving systems of linear equations with Gaussian elimination
  • Vector and matrix calculus


  • Differential calculus of one variable


  • Fundamentals of probability theory
  • discrete and continuous density functions

Learning Objectives

  • The students have an overview of the various areas of Operations Management.
  • The students can classify operational issues in the tasks of the Operations Management (i.e. design or operations).
  • The students know selected quantitative methods and models of Operations Management.
  • The students can make use of the learned methods and are aware of the assumptions and restrictions of these.
  • The students can formulate practical questions from Operations Management as mathematical models.

Contents of Module

Part 1 (2 weeks):

  • Overview of the areas of Operations Management (design and operations)
  • Focus on operations
    • Overview production planning and control
    • Aggregate planning: Sales & operations planning and master production scheduling

Part 2: From the areas below selected methods of quantitative Operations Management are taught.

  • Capacity planning and lead times (1 week)
  • MRP concepts, mathematical foundation of MRP planning calculations (2 weeks)
  • Lotsizing and inventory control (3-4 weeks)
  • Scheduling (5-6 Wochen)

Teaching and Learning Methods

Lecture with exercises


Will be announced at the beginning of the semester

Download full module description