How is Artificial Intelligence structured?
The master’s degree in Artificial Intelligence is studied over 2 years, and each academic year is divided into 2 semesters. 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, with elective courses in the third semester, and concludes with an independent master’s thesis in the fourth semester.
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.
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] |
Academic culture in Denmark
Danish academic culture is characterised by active participation in class, group work and critical thinking. Rather than simply accumulating and reproducing knowledge, you will be expected to analyse, question and discuss the course topics.
The relationship between lecturers and students is often rather informal; students and lecturers may find themselves joking together and engaging in vigorous debates during classes and lectures.
