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The Master's degree programme in Computer science takes two years to complete, and each academic year is divided into two semesters.

The diagramme below gives you an overview of the course of study. On mobile devices it works best in landscape mode.

Specialisations

Each specialisation consists of a number of elective courses and projects, which we recommend you choose from if you wish to specialise in the relevant research area.

The specialisations should be considered as suggestions to give you a better overview of the elective courses that we offer, but you will not be required to stick to courses from just one specialisation.

Example of a timetable

Below is an example of what a weekly timetable might look like for first-semester students on the Master's degree programme in Computer science. There are, of course, breaks throughout the day, for example the academic quarter. Please note that the timetable varies from week to week and that teaching activities may be scheduled on weekdays in the hours between 8.15 and 18.00.

Monday
Tuesday
Wednesday
Thursday
Friday
8-10
Deep Learning (lecture)

8-10
Visualisation (lecture)

8-10
Visualisation (practice session)




Kl. 10-12
Heuristics and constraint programming for discrete optimization (practice session)



12-14
Heuristics and constraint programming for discrete optimization (lecture)



14-16
Heuristics and constraint programming for discrete optimization (lecture)


16-18
Visualisation (lecture)
 
16-18
Deep Learning (practice session)