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Computer Science

Master

How is Computer Science structured?

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

The diagramme below gives you an overview of the course of study. On small screens it works best in landscape mode.

Areas of specialization

Each specialization consists of a number of elective courses and projects, which we recommend you choose from if you wish to specialize in the relevant research area. The specializations should be considered as suggestions to give you a better overview of our electives, but you will not be required to stick to electives from just one specialization.

  • Algorithms
  • Cyber security and cloud computing
  • Data science and AI
Read more about the areas of specialization on MySDU.

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 Computer Science. 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
Visualisation (common class)
8-10
Visualisation (group class)




Kl. 10-12
Heuristics and constraint programming for discrete optimization (group class)



12-14
Heuristics and constraint programming for discrete optimization (common class)


14-16
Heuristics and constraint programming for discrete optimization (common class)

16-18
Visualisation (common class)
  
16-18
Deep Learning (group class)

The programme regulations are the legal foundation of the programme. They describe the rules applying to the programme, including the admission requirements, the programme structure, the qualifications you will achieve, and a summary of the general rules applying to all students.

As a student, you are responsible for keeping up to date with the programme regulations, which may be revised once every year – any changes typically come into effect on 1 September.

See the programme regulations on MySDU

A course description is a detailed description of a course, in which you can read about the aim and contents of the course, teaching methods, the expected workload and the form of the exam.

The Master's degree programme in Computer Science includes the opportunity to complete a company project during the 2nd semester.

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 study board must approve the project description before you can start working on the project.

Company projects are always unpaid.

As part of the Master's degree programme in Computer Science, you have the opportunity study abroad at a university outside Denmark, either during the 2nd semester or as part of your thesis project.

You can choose either a university that SDU collaborates with, or you can choose to arrange your stay at another university. SDU collaborates with more than 200 partner universities, and we want to help you find the perfect place for you.

If you start the programme in September, spending your 2nd semester abroad grants you the most flexibility – if you start in February, you get the most flexibility if you spend the 1st semester abroad. Additionally, on the second year of the programme, you have the opportunity to do your Master's thesis project or parts of it abroad.

Read more about spending a semester abroad on MySDU

On the 2nd year of the programme, you will work on your Master's Thesis project, which has a scope of 60 ECTS.

You will typically be affiliated with a research group from the Department of Mathematics and Computer Science, who will be able to counsel and guide you in your literature search and your collection and processing of research data.

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.

Studerende på Syddansk Universitet