Data Science
In a world of endless information, how do we distinguish the signal from the noise? What tools can we use to translate raw information into data-driven action? Explore how you can transform data, collected from devices like smartphones or satellites, into valuable insights that are needed to make informed decisions. Sweden sits at the forefront of research and thought in the field of data science, with world-class research institutions, a thriving tech industry, and a strong emphasis on the societal, environmental, and commercial implications of our data-driven future.

Core Courses
Data Analytics
Fall/Spring, 3 Credits
In our increasingly digitized society, with sensors embedded in our bodies, equipment, and surroundings, we are generating, collecting, and storing data at unprecedented rates. Within this vast sea of data lie insights crucial for understanding, predicting, and impacting every aspect of our existence, including human behavior, financial trends, sustainable development, and health and illness. Extracting these insights requires careful execution at each step in the data analytics pipeline.
In this course, we will take a hands-on approach to explore the key steps in the data analytics pipeline: data gathering, curation, and transformation; the use of computational and statistical tools to analyze both small and large datasets; and data visualization and reporting of analytical insights. Through real-world case scenarios, we will also evaluate and reflect on the validity of the analytical models.

Core Course Study Tours
This program travels on Study Tours to the following destinations:
- Week-Long Study Tour: Amsterdam
- 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. A course in statistics and a course in linear algebra are recommended. Knowledge of at least one programming language (e.g. in Python/Javascript/Java/C++/Matlab).