The Department of Computer Science at the University of Copenhagen offers five master-level 7.5 ECTS courses in Machine Learning in hybrid format. The courses offer hybrid lectures that are streamed on Zoom and recorded, and a choice of physical and online exercise classes. The courses support fully remote participation. The courses provide strong theoretical foundations in the field of Machine Learning and welcome participants from universities and industry.
The courses offered are:
Online and Reinforcement Learning - https://kurser.ku.dk/course/ndak21003u/2025-2026
2 February 2026 - 12 April 2026
Course organizer - Sadegh Talebi <sadegh...@di.ku.dk>
Registration is now open!
Machine Learning B - https://kurser.ku.dk/course/ndak22001u/2025-2026
20 April 2026 - 21 June 2026
Course organizer - Nirupam Gupta <ni...@di.ku.dk>
Registration is now open!
Machine Learning A
The next round will be offered in September - November 2026
Course organizer - Sadegh Talebi <sadegh...@di.ku.dk>
* This course has an on-site final exam
Privacy in Machine Learning
The next round will be offered in September - November 2026
Course organizer - Amartya Sanyal <am...@di.ku.dk>
Robustness in Machine Learning
The next round of the course will be offered in 2026-2027 academic
year
Course organizer - Amartya Sanyal <am...@di.ku.dk>
"Machine Learning A" is the entry point for the other four
courses (they assume that the students have successfully passed
this course). The other four courses do not depend on each other
and can be taken in any order. All the five courses assume
solid mathematical background.
For further details and registration check https://science.ku.dk/english/courses-and-programmes/other-study-opportunities/hybrid-and-online-courses/
The courses are free of charge for students at Danish universities and universities that have exchange agreements with the University of Copenhagen. Pricing information for everyone else is available at https://continuing-education.ku.dk/course/science-single-subject-courses/practical/
If you have questions concerning individual courses, please,
contact the corresponding course organizer.