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How is Data Science structured?

The master’s programme in Data Science takes two years to complete, and each academic year is divided into two semesters.

The first 3 semesters consist of fundamental courses, profile courses, and an elective module. In the fourth semester, you work on your Master’s thesis project.

The course of study depends on which of the following profiles you choose.

Example of schedule

Below is an example of how your weekly schedule might look like in the first semester of the Master’s programme in Data Science at SDU Kolding. Please note that your schedule may vary from week to week and that teaching activities may be scheduled on weekdays in the hours between 8.15 and 18.30.

Monday
Tuesday
Wednesday
Thursday
Friday

9-12
Statistics (common class)
9-11
Linear algebra (common class)
9-12
Statistics (common class) 

11-13.30
Programming (common class)

11-13.30
Programming (common class)

 

10-14.30
Specialization course
13.45-15.30
Programming (group class) 
 
13.45-15.30
Linear algebra (group class)

15.45-17.30
Statistics (group class)
16.45-18.30
Statistics (group class)