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Statistics and Machine Learning, Master's Programme, 120 credits
The intersection of statistics, artificial intelligence and database management, providing students a unique competence. Meets the demand for specialists able to exploit a wealth of information to improve analysis, prediction and decision making....
Data Science and Information Engineering, Master's Programme, 120 credits
This programme teaches methods for analysis, processing and transmission of large-scale data and signals, using tools from machine learning, signal processing, and information and communication theory. This programme teaches methods for analysis,...
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Computer Science, Master's Programme, 120 credits
Provides skills needed within modern software technology, for positions such as operating systems designer or Internet security specialists. You can also pursue a career in research or continue your studies towards a doctoral degree. This programme...
Cybersecurity, Master's Programme, 120 credits
Help defend society against cyberattacks and develop next-generation security solutions. This programme combines theoretical courses and practical exercises which will give you tools to address the digital security challenges of today and tomorrow....
Computational Social Science, Master's Programme, 120 credits
How do ideas spread? How do cities become segregated? The programme prepares you to harness complex data and advanced computational tools to address these and other important social questions. Use statistical and computational methods to understand...
Natural Language Processing (NLP), 3 credits
Course contentThis course will provide you with theoretical concepts and practical experience in natural language processing (NLP). The focus is on models and algorithms based on deep learning, including large language models such as ChatGPT.It is...
Social Network Analysis, 7.5 credits
This course presents key concepts, measures, and statistical techniques needed for the analysis of relational, social network data using a computational approach. Network concepts such as centrality and brokerage are discussed, and popular measures...
Elements of AI, Part 2: Building AI, 2 credits
Course contentThe course aims to introduce practical AI, focusing on basic machine learning. The aim is to understand how to build AI systems using machine learning, gain insight into the possibilities and limitations of the technology, and to get...
Elements of AI, 2 credits
The course aims to give an introduction and overview of artificial intelligence. The focus is on understanding the concept and some important techniques such as search and machine learning as well as consequences of AI on society. Start the course...
Foundations of machine learning, 3 credits
Course contentThe course aims to give an introduction to machine learning, with emphasis on so-called supervised learning. The aim is to understand what machine learning is, what types of machine learning exist, their possibilities and limitations,...