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Programme structure

The Master's Degree Programme in Applied Mathematics takes two years to complete, and each academic year is divided into two semesters.

The structure of the programme allows you to opt for a general profile or specialize in one of the following research areas. The areas of specialization should be considered as suggestions to give you a better overview of the constituent and elective courses that we offer.

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

Example of a timetable

Below is an example of what a weekly timetable might look like for a first-semester student on the Master's degree programme in Applied mathematics. There are, of course, breaks throughout the day, for example the academic quarter. Please note that your timetable may vary 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
Differential equations II (practice session)
 
10-12
Differential equations II
(lecture)

 
10-12
Differential equations II
(lecture)

10-12
Introduction to HPC and quantum computing (practice session)

12-14
Introduction to HPC and quantum computing (lecture)



14-16
Stochastic differential equations I (lecture)



 
16-18
Deep Learning (practice session)