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Programs : Brochure

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  • Locations: Copenhagen, Denmark
  • Program Terms: Academic Year, Fall, Spring
  • Homepage: Click to visit
  • Program Sponsor: DIS - Study Abroad in Scandinavia 
Dates / Deadlines:
Dates / Deadlines:
Term Year App Deadline Decision Date Start Date End Date
Spring 2025 10/15/2024 ** Rolling Admission 01/11/2025 05/10/2025
Fall 2025 03/15/2025 ** Rolling Admission TBA TBA

** Indicates rolling admission application process. Applicants will be immediately notified of acceptance into this program and be able to complete post-decision materials prior to the term's application deadline.
Fact Sheet:
Fact Sheet:
Areas of Study: Computer Science, Math/Statistics Click here for a definition of this term Minimum Undergraduate GPA: 3.0
Click here for a definition of this term Language of Instruction: English Click here for a definition of this term Housing Options: Home Stay, Residence Hall
Program Type: Provider, Study Abroad
Program Description:
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Computer Science

Computing is everywhere. It advances science and industry, helps us stay connected, and affects our lives at individual and societal levels. With publicly-financed specialized education, startup incubators, and industrial hubs with computer science at their core, Denmark are both at the forefront of research and innovation in this field.

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Is this program right for you?

It is a good fit if you study:

  • Computer Science
  • Information Science
  • Mathematics
View this program at DISabroad.org

Core Courses

Artificial Neural Networks and Deep Learning
Fall/Spring, 3 Credits

Artificial Neural Networks are programs that write themselves when given an objective, some training data, and abundant computing power. Recently, these programs have brought about a wide array of impressive innovations, such as self-driving cars, face recognition, and human-like speech generators. This course offers you an introduction to Deep Artificial Neural Networks (i.e. “Deep Learning”). With focus on both theory and practice, we cover models for various applications, how they are trained and tested, and how they can be deployed in real-world applications.


Game Development: Programming and Practice
Fall/Spring, 3 Credits

This course provides an overview of the phases of game development, with a focus on the pre-production and production phases. You identify and discuss the components within computer science that assist in game development. Additionally, you have the opportunity to meet professional developers in the field.


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Core Course Study Tours

This program travels on Study Tours to the following destinations:

Artificial Neural Networks and Deep Learning:

  • Week-Long Study Tour: London or Madrid-Valencia
  • Core Course Week: Denmark

Game Development: Programming and Practice:

  • Week-Long Study Tour: Berlin-Hamburg or Berlin-Frankfurt
  • Core Course Week: Denmark
Early in the semester, you delve into your academic focus during Core Course Week, in which you travel on a short Study Tour for three days in Denmark or a neighboring country, combined with a two-day seminar in Copenhagen. Later in the semester, you travel again with your Core Course on a week-long Study Tour in Europe.
 
While on tour, theories learned in the classroom come to life by meeting with professionals and experts in your field who contribute to furthering your understanding of course topics. Study Tours are hands-on and experiential, combining theory with practice, and expose you to additional cultural perspectives. You have the opportunity to visit sites and experts in your field of interest that you may not otherwise have access to.


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Elective Courses

Add elective courses to complement your Core Course at DIS Copenhagen. You decide how to build your course load based on your needs and interests!

Electives range across disciplines and include research, workshops, studios, and even Exploration Electives, which come with a travel component.

Visit our website to view the full list of over 200 additional elective courses! 

Prerequisites

Artificial Neural Networks and Deep Learning:
One year of computer science, a course in algorithms and data structures, one course in either probability theory, linear algebra, or statistics at university level. Knowledge of programming languages (e.g. in Python/Javascript/Java/C++/Matlab).

Game Development: Programming and Practice:
One year of computer science and one mathematics course at university level. Knowledge of at least one programming language, preferably with object-oriented programming such as Java, C# or C++.

 
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