Master's in Artificial Intelligence in Denmark
There are 4 master's Artificial Intelligence programmes for international students across 1 universities in Denmark. Tuition ranges from €8k to €15k. Browse the full list below, compare entry requirements, and explore scholarships to fund your studies.
Advanced Topics in Machine Learning: Tensor Networks for Machine Learning
This intensive five-day course delves into the theoretical and practical aspects of Tensor Networks specifically for Machine Learning applications. You will explore technical details, programming techniques, and real-world applications through lectures, tutorials, and exercises. The course is designed for individuals with a solid foundation in machine learning, statistical modeling, mathematics, and computer science, and requires programming experience, ideally in Python. Participants will complete the course by submitting a report on the topics covered. This is a short, focused course, offering 2.5 ECTS points.
Deep Learning
Deep learning (DL) is a transformative technology driving advancements in machine perception, particularly in areas like generative AI for images and text. Its applications are expanding rapidly, leading to more accurate medical diagnoses from image analysis, and the development of intelligent applications in healthcare and IT through improved speech and natural language processing. DL also provides powerful tools for data-driven applications such as drug discovery and condition monitoring. This course offers a comprehensive understanding of deep artificial neural network models, including their training methodologies and the computational frameworks used for deployment on graphical processing units. You will explore the capabilities and limitations of these models across various settings, such as classification, regression, sequence modeling, and reasoning in complex environments.
Introduction to Deep Learning in Computer Vision
This course introduces the fundamental concepts and applications of deep learning within the field of computer vision. You will learn how modern deep learning techniques have surpassed traditional methods that relied on hand-crafted features for tasks such as object detection, segmentation, and classification. The course aims to equip you with the skills to identify computer vision problems, implement solutions using suitable neural network architectures, and critically analyze their performance.
Machine Learning Operations
This course focuses on Machine Learning Operations (MLOps), providing students with practical skills and knowledge to manage machine learning models in research or production environments. You will learn about essential tools and software development practices for organizing, scaling, deploying, and monitoring ML models. The course emphasizes hands-on experience with various frameworks, both local and cloud-based, to build and manage large-scale machine learning pipelines. The curriculum covers crucial aspects like code organization, version control, reproducible environments, experiment management, debugging, profiling, and monitoring. You will also gain experience with testing, continuous integration, and cloud infrastructure for scaling experiments and automating processes. The course aims to equip students with the ability to deploy ML models effectively, monitor their lifecycle, and scale data loading and training using distributed frameworks.
Frequently asked questions
How many Artificial Intelligence programmes are there in Denmark?
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4 across 1 universities, listed on this page.
Can international students apply?
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Yes — these programmes admit international students; check each programme's entry requirements and language of instruction.