How is Artificial Intelligence structured?
The master’s programme in Artificial Intelligence is studied over 2 years, and each academic year is divided into 2 semesters. The programme is structured around mandatory courses, electives, and a master’s thesis, which you will write in the 4th semester.
The first year provides a strong technical, analytical and strategic foundation, focusing on AI in society and business, data and Big Data, advanced AI methods, cybersecurity, and programming. The second year offers greater flexibility, allowing you to specialise through electives and project topics.
Below, you can see an overview of the programme structure. If you start the degree in February, the master’s programme follows a slightly different progression, with the first and second semesters reversed.
Choices and options
Electives and project work are mainly placed in the 2nd year of the programme, giving you the opportunity to shape your academic direction. The 3rd semester has no compulsory courses and is, therefore, well suited for an exchange abroad or a company project.
The final semester is dedicated to the master’s thesis, which may, for example, be interdisciplinary or carried out in collaboration with a company.
There are several opportunities for you if you are considering a study abroad experience as part of your master’s programme in Artificial Intelligence, and we are here to help you find the perfect place.
In the master’s programme in Artificial Intelligence, we recommend that you go abroad during the 3rd semester of your studies.
If you wish to combine a master’s degree in Artificial Intelligence with professional experience, you can choose a company project as a subject-perspective activity in the 3rd semester of the programme.
A company project is a well-defined project that you carry out in collaboration with a company or organisation, where you become part of the daily operations of the workplace, on equal terms with the employed staff. Here, you work on specific, practice-oriented tasks and apply your academic skills in a professional context.
You can organise the company project in several ways:
- as a 10 or 15 ECTS project, in combination with other subject-perspective activities
- or as a 30 ECTS project, constituting an entire semester.
In the master’s programme in Artificial Intelligence, you will complete your thesis during the 4th semester. The thesis counts as 30 ECTS and constitutes the final part of the programme.
In the thesis, you will work independently on a topic that you help shape yourself, demonstrating your ability to identify, analyse, and critically evaluate academic challenges on a solid scientific foundation.
A typical week
Below is an example of what a weekly timetable might look like for a student in the first semester of the MSc in Artificial Intelligence. Your workload and schedule may vary from week to week, and as a rule, teaching and learning activities can be timetabled on weekdays between 8:15 and 18:00.
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
|---|---|---|---|---|
8-10Advanced Topics in Artificial Intelligence, Cybersecurity, and Programming Tools[group class] |
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10-12Datamining and Big Data[group class] |
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12-14Business Understanding and Development[common class] |
12-14Datamining and Big Data[common class] |
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14-16Advanced Topics in Artificial Intelligence, Cybersecurity, and Programming Tools[common class] |
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16-18AI and Democracy[group class] |