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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 schedule

Below is an example of how your weekly schedule might look like in the first semester of the Master’s programme in Applied Mathematics. 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 and 18.

Monday
Tuesday
Wednesday
Thursday
Friday

8-10
Deep Learning (common class)

8-10
Differential equations II (group class)
 
10-12
Differential equations II
(common class)

 
10-12
Differential equations II
(common class)

10-12
Introduction to HPC and quantum computing (group class)

12-14
Introduction to HPC and quantum computing (common class)



14-16
Stochastic differential equations I (common class)



 
16-18
Deep Learning (group class)


Company project

The Master's degree programme in Applied Mathematics includes the opportunity to do a company project, typically during the spring semester of the first year.

A company project is a well-defined project which is done part-time or full-time in a company or organisation, and which has a scope of 10, 15 or 30 ECTS. A company project places demands on learning on a par with other courses at the university. There is both an SDU supervisor and a company supervisor associated with the project.

The company project must take a specific problem as its starting point and study board must approve the project description before you can start working on the project.

Company projects are always unpaid.