Spotify, the Swedish giant, relies on machine learning to personalize the music experience of millions of users. Scania, the Swedish, world-leading provider of transport solutions, is using 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.
One year of computer science at university level. One of the computer science courses should be in algorithms and data structures. One course in linear algebra at university level (or enrolling in Linear Algebra at DIS as a co-requisite). A course in statistics is recommended. Knowledge of at least one object-oriented programming language (e.g. Java, Python).
Travel on Study Tour
You only take one Core Course per semester, and each Core Course includes two Study Tours: one Short Study Tour to a nearby destination for three days, and one Long Study Tour to another European country for six days.
Led by your faculty, Study Tours take you into real-world settings where you will apply what you’ve learned outside the classroom.
Ph.D. candidate, Department of Technology and Health, KTH Royal Institute of Technology (2023–present). M.S. in Machine Learning, KTH Royal Institute of Technology (2023). B.S. in Mathematics, Dublin City University (2015). Research focus on socio-technical studies of Artificial Intelligence, in particular applications of conversational AI for elderly care. Previous experience processing and visualizing large datasets as Data Analyst at Nordnet Bank AB and developing statistical pricing models as BI Consultant at FD Technologies. With DIS since 2024.
Long Study Tour
About this tour
London is one of the most technologically advanced cities in the world. It constantly produces cutting-edge research in the fields of machine learning and artificial intelligence and implements machine learning applications in image and speech recognition, social media services, healthcare, and virtual personal assistance. By visiting startups, large companies, and research institutions currently driving innovations in the field, you gain an understanding of the necessity, utility, and impact of machine learning in a wide variety of sectors.
Learning outcomes
Engage in your personal learning process outside the classroom by actively participating and challenging your current ideas and assumptions
Broaden your perspective of machine learning in a European context through field visits, while assessing the affordances and limitations of incorporating machine learning approaches in various sectors
Through conversations with machine learning experts, obtain an understanding of the dynamic interplay between research, development, industry, and everyday applications of machine learning
Understand how people coming from different backgrounds work with machine learning and AI
Possible activities
Meet with professionals working in tech giants or tech start-ups based in London
Hear from researchers and peers within London’s prime computer science academic institutions
Visit East London Tech City to understand what it takes to create a tech cluster
About this tour
With specialized education, strong support and funding, and cutting-edge research in the fields of machine learning and AI, Germany is one of the most technologically advanced countries in the world. Germany’s capital, Berlin, is increasingly growing as a center for artificial intelligence, with current applications in business intelligence, healthcare, life sciences, autonomous driving, and mobility. By visiting startups, large companies, and research institutions currently driving innovations in the field, you will gain an understanding of the necessity, utility, and impact of machine learning in a wide variety of sectors.
Learning outcomes
Engage in your personal learning process outside the classroom by actively participating and challenging your current ideas and assumptions
Broaden your perspective of machine learning in a European context through field visits, while assessing affordances and limitations of incorporating machine learning approaches in various sectors
Through conversations with machine learning experts working in Germany, obtain an understanding of the dynamic interplay between research, development, industry, and everyday applications of machine learning
Possible activities
Visits to meet with professionals working in tech giants or tech start-ups based in Germany
Visit researchers and peers within Germany’s prime computer science academic institutions (e.g. Technical University of Munich, Technical University of Berlin)
Visit BIFOLD (Berlin Institute for the Foundations of learning and Data)
Short Study Tour
About this tour
During our Core Course Week Study Tour within Sweden, we will visit professionals from academia and industry to learn about the latest developments in the field of machine learning. Through these visits, we investigate how the field is evolving in Sweden, and reflect upon major opportunities and challenges within machine learning research and implementation in real-world applications. In addition, we participate in cultural activities (e.g. city tours, outdoor activities, visits to museums) to learn about Swedish history, culture, and nature.
Learning outcomes
Engage in your personal learning process outside the classroom by actively participating and challenging your current ideas and assumptions
Broaden your perspective of machine learning in a Swedish context through visits, while assessing affordances and limitations of incorporating machine learning approaches in various sectors
Gain an understanding of the dynamic interplay between research, development, industry, and everyday applications of machine learning through conversations with machine learning experts working in Sweden
Possible activities
Visit research groups from renowned Swedish universities (e.g. Chalmers University of Technology), that specialize in Machine Learning, Data Analytics, and AI
Visit specialized companies that incorporate machine learning in their processes (e.g. Volvo Group)
Visit AI hubs that support incorporation on machine learning in various sectors
Looking for some advice? We’ll support you every step of the way.
