Hybrid master-level courses in Machine Learning
Yevgeny Seldin
The Department of Computer Science at the University of Copenhagen offers four 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:
Machine Learning A - https://kurser.ku.dk/course/ndak22000u/2025-2026
1 September 2025 - 9 November 2025
Course organizer - Sadegh Talebi <sadegh...@di.ku.dk>
Advanced Topics in Machine Learning (this year the focus
is on Privacy in Machine Learning) - https://kurser.ku.dk/course/ndak15014u/2025-2026
1 September 2025 - 9 November 2025
Course organizer - Amartya Sanyal <am...@di.ku.dk>
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>
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>
"Machine Learning A" is the entry point for the other three
courses (they assume that the students have successfully passed
this course). The other three courses do not depend on each other
and can be taken in any order. All the four 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.