Degree structure

The Master of Data Science in Engineering degree program takes 2 years, with 4 quartiles per year. The program consists of the following components: 

  • Core courses – selection of 6 from: 
  • Process Mining 
  • Data Mining 
  • Algorithms 
  • Visualization 
  • Real-life data challenges 
  • Statistics for Big Data 
  • Statistical Learning Theory 
  • Probability and Stochastic Processes 
  • Electives 
  • Internship  
  • Final project 

The electives prepare you for your specialization. There is a wide variety of courses to choose from in computer science, mathematics, as well as courses in human-technology interaction, business models and operations management expertise and skills. 

Research groups

The research of the Department of Mathematics and Computer Science focuses on mathematical applications and the design of innovative software systems.

Department of Mathematics and Computer Science

Artificial Intelligence

The AI-group primarily focuses on the fundamentals, techniques, and tools/frameworks for successful applications of AI. It strenghtens the…

Combinatorial Optimization

The Combinatorial Optimization group focuses on the analysis and solution of discrete algorithmic problems that are computationally…

Cluster Artificial Intelligence

Database Group

The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.

Department of Mathematics and Computer Science

Stochastic Operations Research

SOR is concerned with complex systems that operate under randomness and uncertainty, and aims to develop mathematical models and techniques…

Visualization