Course 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.