Hybrid master-level courses in Machine Learning

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Yevgeny Seldin

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May 22, 2026, 7:57:55 AM (2 days ago) May 22
to ml-...@googlegroups.com, COLT (Computational Learning Theory), uai-...@googlegroups.com, rl-...@googlegroups.com, Sadegh Talebi, Amartya Sanyal, Nirupam Gupta, Yevgeny Seldin

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.

Registration for courses in the fall semester is now open!

The courses offered are:

Machine Learning A - https://kurser.ku.dk/course/ndak22000u/2026-2027
31 August 2026 - 8 November 2026
Course organizer - Sadegh Talebi <sadegh...@di.ku.dk>
* This course has an on-site final exam
Registration is now open! Early registration deadline: 1 June.

Privacy in Machine Learning - https://kurser.ku.dk/course/ndak26000u/2026-2027
31 August 2026 - 8 November 2026
Course organizer - Amartya Sanyal <am...@di.ku.dk>
Registration is now open! Early registration deadline: 1 June.

Online and Reinforcement Learning - https://kurser.ku.dk/course/ndak21003u/2026-2027
The next round of the course will be 8 February 2027 - 18 April 2027
Course organizer - Sadegh Talebi <sadegh...@di.ku.dk>

Robustness in Machine Learning - https://kurser.ku.dk/course/ndak26002u/2026-2027
The next round of the course will be 8 February 2027 - 18 April 2027
Course organizer - Amartya Sanyal <am...@di.ku.dk>

Machine Learning B - https://kurser.ku.dk/course/ndak22001u/2026-2027
The next round of the course will be 26 April 2026 - 27 June 2027
Course organizer - Nirupam Gupta <ni...@di.ku.dk>

General information:

"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.

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