Data Engineering and Management

We live increasingly in a data-driven world. Data and data analytics play a central role not only in technical systems but also broadly in organizations and society, across government, academia, and industry and both in private and public spaces. We are awash in massive complex data collections containing tremendous untapped value. 

Data Management Systems (DMS) provide the fundamental underlying infrastructure to identify and realize this value. DMS provide for the end-to-end care, maintenance, and use of data towards revealing actionable insights into big data. Data-intensive systems consequently must address a broad range of basic scientific challenges, such as efficient scalable human-data interaction, explainable and secure data storage and access, knowledge modeling and extraction, and scalable data analytics for data science and artificial intelligence applications. DMS are responsible for efficiently and effectively addressing all of these intertwined challenges which are widespread in today’s data-driven science and organizations. 

The trajectory contains the courses:

  • 2IMD10 - Engineering data systems
  • 2IMS25 - Principles of data protection
  • 2AMD20 - Knowledge engineering, and
  • 2AMD15 – Big Data Management. 

The courses in this trajectory teach you about the foundations and applications of contemporary and next-generation data management and engineering methods and systems. These include data protection technologies designed to prevent dissemination of sensitive information of individuals (2AMS250); methods and technologies for capturing, cleaning, integrating, and modelling knowledge in data-driven organizations (2AMD20); concepts, methods and techniques for the improvement of the performance of data-intensive systems and for the realization of characteristic database properties such as persistence, reliability and integrity (2IMD10); and, practical methods to engineer non-trivial data intensive applications based on a solid understanding of the underlying engineering principles and models of contemporary big data systems (2AMD15). 

For an overview of the full course list of this master program, visit this page.