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, Sweden is at the forefront of research and innovation in this field.
Core Courses
Machine Learning
Fall/Spring, 3 Credits
Spotify, the Swedish giant, relies on machine learning to personalize the music experience of millions of users. Scania, the Swedish world-leader provider of transport solutions, utilizes machine learning to develop self-driving trucks. Sweden is a renowned hub for technical startups developing the future of machine learning. Applications include robotics, computer vision, speech recognition and synthesis, traffic predictions, and medical diagnostics.
Machine learning utilizes training data to develop models capable of identifying patterns, classifying large amounts of information, making predictions or decisions, and providing insights embedded in vast and complex data. This course offers a hands-on approach to the theory and practice of machine learning, with real-world applications. It focuses on training datasets, machine learning approaches, and the fitting and optimization of models.
Core Course Study Tours
This program travels on Study Tours to the following destinations:
- Week-Long Study Tour: Germany
- Core Course Week: Sweden
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 Sweden or a neighboring country, combined with a two-day seminar in Stockholm. 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.
Elective Courses
Add elective courses to complement your Core Course at DIS Stockholm. 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 65 additional elective courses!
Prerequisites
One year of computer science, a course in algorithms and data structures, one course in linear algebra at university level. A course in statistics is recommended. Knowledge of at least one programming language (e.g. Python/Javascript/Java/C++/Matlab).
