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 
Advanced Databases (TSM_AdvDaBa)

The heterogeneity of the requirements of modern applications is not

always well addressed by classical data management systems. The use of the

appropriate data management system can address properly requirements such as replication,

scalability, availability, data model flexibility, or query performance.


This course aims to provide a critical approach to polyglot data

management systems by knowing their strengths and weaknesses, to help the data

software architect to use the appropriate system in each context.


The course covers the following core topics:



  • Databases architectures,
  • Beyond the relational model,
  • Database-oriented software architectures.



  • Relational model, relational algebra and normalization
  • SQL: data modeling, query language, transactions and access rights
  • Query optimization, database indexes
  • Object-oriented programming languages


Learning Objectives

At the end of this module, students will be able to:

  • understand and use parallel and distributed databases,
  • properly use strict and relaxed consistency models and understand their underlying tradeoffs,
  • understand and use databases alternatives beyond the relational model,
  • choose an appropriate database system depending on the context and the kind of data available,
  • understand the different implications of database-oriented software architectures,
  • implement efficient database-oriented software architectures,
  • apply the acquired knowledge in their own working environment,
  • identify the current research directions of these domains.

Contents of Module

Databases architectures (30%)

  • Distributed architectures
  • Replication and scalability
  • Parallel architectures
  • Consistency models

Beyond the relational model (30%)

  • Document-oriented databases
  • Graph systems
  • Key value systems
  • Spatio-temporal databases

Database-oriented software architectures (40%)

  • Database first and code first
  • Embedded databases
  • Testing and evolution
  • Query plans, indexation, integrity constraints and data validation
  • Database administration


Teaching and Learning Methods


course involves theoretical presentations and practical exercises, laboratories

or group projects.


Lecture slides, references to internet resources and


Download full module description