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Master's Program in Machine Learning, Systems and Control

In 2020 we launched a new international Master's Program in Systems, Learning and Control in collaboration with the departments of Mathematics, Computer Science and Electrical and Information Technology.

Entry requirements

  • A Bachelor's degree in science, technology, engineering, mathematics (STEM) or equivalent.
  • Completed courses in mathematics (linear algebra, calculus in one and several variables, transforms and linear filtering) of at least 30 credits/ECTS
  • One completed course in mathematical statistics
  • One completed course in computer programming or computer science
  • One completed course in control engineering
  • English 6

A stand-alone introductory course in control engineering (Automatic Control, Basic Course) is given by the Department of Automatic Control in the first half of each spring semester. Apply at