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How is Computer Science structured?

The master’s programme in Computer Science is studied over 2 years, and each academic year is divided into 2 semesters. There are opportunities for exchange stays and company projects during the course of study.

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

Choices and options

Already in the second of the master’s programme in Computer Science, you have great opportunities to shape your academic direction through a 30 ECTS constituent elective module. This provides you with a solid foundation to delve into the subject areas within Computer Science that interest you the most.

In the third semester, you have even more flexibility. This opens up particularly good opportunities to go on exchange abroad or engage in close collaboration with a business or organisation in a company project.

The last semester of the programme is dedicated to the master’s thesis. Here, you can dive into a topic you are particularly interested in – whether through interdisciplinary work, in-depth research, or collaboration with a company where you contribute to solving real-world issues.

A typical week

Below is an example of what a class schedule might look like for a student in the first semester of the MSc programme in Computer Science. Class times and workload may vary from week to week, and as a rule, classes can be scheduled on weekdays between 8:15 AM and 6:00 PM.

Monday
Tuesday
Wednesday
Thursday
Friday
8-10 AM
Data Mining and Big Data
[common class]
10 AM-12 PM
Frontiers of Algorithms
[group class]
10 AM-12 PM
Data Mining and Big Data
[common class]
10 AM-12 PM
Data Mining and Big Data
[group class]
12-4 PM
Advanced Topics in Artificial Intelligence, Cybersecurity, and Programming Languages
[common class]
12-2 PM
Frontiers of Algorithms
[common class]
2-4 PM
Frontiers of Algorithms
[common class]
4-6 PM
Advanced Topics in Artificial Intelligence, Cybersecurity, and Programming Languages
[group class]