189 Master's in Machine Learning in Europe
Data Science and Business Management
This Data Science and Business Management, M.Sc. course from University of Aberdeen is designed to bridge the gap between data science and business management through an interdisciplinary approach that equips you with the critical business and data science skills necessary to establish or lead successful data science teams or enterprises.
Cybersecurity and Machine Learning
The Cybersecurity and Machine Learning MSc at the University of Aberdeen is a 12 or 16-month full-time programme. This public degree explores the intersection of AI and security, focusing on protecting intelligent systems and using machine learning to combat complex cyber threats through advanced technical training.
Computer Science (Artificial Intelligence and Machine Learning)
The Computer Science (Artificial Intelligence and Machine Learning) course from Data Science Institute is a programme that develops advanced skills in AI development and deployment.
M2 Computational Neurosciences and Neuroengineering
The M2 Computational Neurosciences and Neuroengineering Master at Paris-Saclay University aims to train students to face problems raised by brain perception, processing and transmission of information.
Natural Language Processing
The degree program in Natural Language Processing from Trier University enables students to accompany and shape these changes. It is interdisciplinary and deals with digitally-mediated language in its entire breadth: from written texts to audiovisual and social media.
Machine Learning
Machine Learning is increasingly used by many professions and industries such as manufacturing, retail, medicine, finance, robotics, telecommunications and social media. Graduates from the Machine Learning programme at KTH Royal Institute of Technology will be experts in the field, qualified for exciting careers in industry or doctoral studies.
Data Science and Machine Learning
The MSc in Data Science and Machine Learning at UCL is a one-year full-time programme designed to equip students with essential skills in data science and machine learning. This degree offers a comprehensive curriculum that prepares graduates for diverse career opportunities in various sectors.
Machine Learning
Study the Machine Learning programme at Royal Holloway University of London and you’ll equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies.
Data Science: Computer Science
The Data Science master's specialisation equips you with state-of-the-art knowledge on the foundations and algorithmic aspects of data mining, machine learning, and statistical data analysis.
Image Analysis and Machine Learning
The Image Analysis and Machine Learning program from Uppsala University gives you a comprehensive understanding of its two main subjects, both from a practical and theoretical perspective.
Advanced Computer Science
The MSc in Advanced Computer Science at University of Oxford has been designed to teach a range of advanced topics to graduates of computer science and other mathematical disciplines.
Artificial Intelligence Systems
The MSc in Artificial Intelligence Systems (MSc AIS) program from EPITA School of Engineering and Computer Science trains high-level experts to meet the needs of companies wishing to integrate new Artificial Intelligence technologies, including data analysis (Big Data, Data Science, recommendation systems, etc.).
Informatics - Robotics and Intelligent Systems
The Informatics - Robotics and Intelligent Systems programme of the University of Oslo has a focus on robotics systems and embedded systems. Especially on how to make such systems more intelligent and adaptable using programming, machine learning and other methods based in informatics. This programme will as such cover the competence needed in today's industry.
Machine Learning
The Machine Learning MSc at University College London (UCL) is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.
Integrated Machine Learning Systems
This MSc Integrated Machine Learning Systems programme from University College London (UCL) teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades.
Digital Manufacturing
University of the Basque Country's Master in Digital Manufacturing responds to the new reality of companies within the Industry 4.0 framework, in which these companies need professionals with a global vision of the Digital Factory, sound understanding of the associated technologies and ability to lead the changes in business models that the new industrial revolution entails.
Digital Learning
Digital technologies affect the way people of all ages work, study, consume and socialise. This places new demands on teaching and learning at all levels, from pre-school to school, higher education and the workplace. The Digital Learning program at Halmstad University addresses these demands and develops your knowledge in how design, organisation and use of IT can contribute to learning.
Management of Technology - Management of AI and Machine Learning (Online)
The Online Master in Management of Technology - Management of AI and Machine Learning (Online) delivered at UBI Business School meets the growing demand in the global labour market for leaders in today’s technology-based economy.
Computer Science (Artificial Intelligence and Machine Learning)
The Computer Science (Artificial Intelligence and Machine Learning) course from Data Science Institute is a programme designed to develop deep technical expertise in AI and ML across key domains such as NLP, computer vision, deep learning, and MLOps.
Applied Machine Learning for Creatives
This Applied Machine Learning for Creatives course from University of the Arts London (UAL) gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to applied machine learning.